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Feng, Z.a , Li, B.a , Yin, Y.P.b , He, K.c
Rockslides on limestone cliffs with subhorizontal bedding in the southwestern calcareous area of China
(2014) Natural Hazards and Earth System Sciences, 14 (9), pp. 2627-2635.
a Key Laboratory of Neotectonic Movement and Geohazard of MLR, Institute of Geomechanics, Chinese Academy
of Geological ScienceBeijing, China b China Institute of Geo-Environment MonitoringBeijing, China c Chang'An UniversityXi'an, China
Abstract Calcareous mountainous areas are highly prone to geohazards, and rockslides play an important role in cliff retreat.
This study presents three examples of failures of limestone cliffs with subhorizontal bedding in the southwestern
calcareous area of China. Field observations and numerical modeling of Yudong Escarpment, Zengzi Cliff, and
Wangxia Cliff showed that pre-existing vertical joints passing through thick limestone and the alternation of
competent and incompetent layers are the most significant features for rockslides. A "hard-on-soft" cliff made of
hard rocks superimposed on soft rocks is prone to rock slump, characterized by shearing through the underlying
weak strata along a curved surface and backward tilting. When a slope contains weak interlayers rather than a soft
basal, a rock collapse could occur from the compression fracture and tensile split of the rock mass near the
interfaces. A rockslide might shear through a hard rock mass if no discontinuities are exposed in the cliff slope, and
sliding may occur along a moderately inclined rupture plane. The "toe breakout" mechanism mainly depends on the
strength characteristics of the rock mass.
Index Keywords cliff, collapse, computer simulation, escarpment, failure analysis, hard rock, landslide, limestone, mountain
region, numerical model, rock avalanche, slope dynamics, slope stability, soft rock; China
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Correspondence Address
Li B.; Key Laboratory of Neotectonic Movement and Geohazard of MLR, Institute of Geomechanics, Chinese
Academy of Geological ScienceChina
Publisher: Copernicus GmbH
ISSN: 15618633
DOI: 10.5194/nhess-14-2627-2014
Language of Original Document: English
Abbreviated Source Title: Nat. Hazards Earth Syst. Sci.
Document Type: Article
Source: Scopus
Shahabi, H.a , Khezri, S.b , Ahmad, B.B.a , Hashim, M.a
Landslide susceptibility mapping at central Zab basin, Iran: A comparison between analytical hierarchy process,
frequency ratio and logistic regression models
(2014) Catena, 115, pp. 55-70. Cited 1 time.
a Institute of Geospatial Science and Technology (INSTeG), Universiti Teknologi Malaysia (UTM), Skudai, 81310
Johor Bahru, Malaysia b Department of Physical Geography, Faculty of Natural Resources, University of Kurdistan, Iran
Abstract The purpose of this study is to compare the landslide susceptibility mapping models of logistic regression (LR),
analytical hierarchy process (AHP) and frequency ratio (FR) applied in the central Zab basin (West Azerbaijan-
Iran). Eight factors were used for landslide susceptibility mapping including slope, aspect, land cover,
precipitation, lithology and the distance to roads, drainage, and faults that affect the occurrence of landslides. To
get more precision, speed and facility in our analysis, all descriptive and spatial information was entered into GIS
system. Satellite images (Landsat ETM. + and SPOT 5) are also used to prepare for land use and landslide-
inventory mapping respectively. Landslide events as used as dependant variable and data layers as independent
variable, making use of the correlation between these two variables in landslide susceptibility. The three models
are validated using the relative landslide density index (R-index) and the receiver operating characteristic (ROC)
curves. The predictive capability of each model was determined from the area under the relative operating
characteristic curve and the areas under the curves obtained using the LR, AHP, and FR methods are 0.8941,
0.8115, and 0.8634, respectively. These results indicate that the LR and FR models are relatively good estimators
of landslide susceptibility in the study area. The interpretations of the susceptibility map reveal that precipitation,
lithology and slope played major roles in landslide occurrence and distribution in the central Zab basin. In general,
all three models were reasonably accurate. The resultant maps would be useful for regional spatial planning as well
as for land cover planning. © 2013 Elsevier B.V..
Author Keywords Central Zab basin; GIS; Landslide; Remote sensing
Index Keywords analytical hierarchy process, GIS, inventory, Landsat thematic mapper, landslide, model validation, regional
planning, regression analysis, satellite imagery, slope, SPOT, topographic mapping; Iran, West Azerbaijan
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Correspondence Address
Shahabi H.; Department of Geoinformation, Faculty of Geoinformation and Real Estate, Universiti Teknologi
Malaysia (UTM), Skudai, 81310 Johor Bahru, Malaysia; email: [email protected]
ISSN: 03418162
CODEN: CIJPD
DOI: 10.1016/j.catena.2013.11.014
Language of Original Document: English
Abbreviated Source Title: Catena
Document Type: Article
Source: Scopus
Nourani, V.a , Pradhan, B.b , Ghaffari, H.c , Sharifi, S.S.d
Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency
ratio, logistic regression, and artificial neural network models
(2014) Natural Hazards, 71 (1), pp. 523-547.
a Department of Water Resources Engineering, University of Tabriz, 29 Bahman Ave., Tabriz, Iran b Department of Civil Engineering, University Putra Malaysia, 43400 Serdang, Selangor, Malaysia c Department of Water Resources Engineering, Islamic Azad University, Mahabad Branch, Mahabad, Iran d Department of Water Engineering, University of Tabriz, 29 Bahman Ave., Tabriz, Iran
Abstract Without a doubt, landslide is one of the most disastrous natural hazards and landslide susceptibility maps (LSMs)
in regional scale are the useful guide to future development planning. Therefore, the importance of generating
LSMs through different methods is popular in the international literature. The goal of this study was to evaluate the
susceptibility of the occurrence of landslides in Zonouz Plain, located in North-West of Iran. For this purpose, a
landslide inventory map was constructed using field survey, air photo/satellite image interpretation, and literature
search for historical landslide records. Then, seven landslide-conditioning factors such as lithology, slope, aspect,
elevation, land cover, distance to stream, and distance to road were utilized for generation LSMs by various
models: frequency ratio (FR), logistic regression (LR), artificial neural network (ANN), and genetic programming
(GP) methods in geographic information system (GIS). Finally, total four LSMs were obtained by using these four
methods. For verification, the results of LSM analyses were confirmed using the landslide inventory map
containing 190 active landslide zones. The validation process showed that the prediction accuracy of LSMs,
produced by the FR, LR, ANN, and GP, was 87.57, 89.42, 92.37, and 93.27 %, respectively. The obtained results
indicated that the use of GP for generating LSMs provides more accurate prediction in comparison with FR, LR,
and ANN. Furthermore; GP model is superior to the ANN model because it can present an explicit formulation
instead of weights and biases matrices. © 2013 Springer Science+Business Media Dordrecht.
Author Keywords Artificial neural network; Genetic programming; GIS; Landslide; Remote sensing; Zonouz Plain
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Correspondence Address
Nourani V.; Department of Water Resources Engineering, University of Tabriz, 29 Bahman Ave., Tabriz, Iran;
email: [email protected]
ISSN: 0921030X
DOI: 10.1007/s11069-013-0932-3
Language of Original Document: English
Abbreviated Source Title: Nat. Hazards
Document Type: Article
Source: Scopus
Sajinkumar, K.S.a , Anbazhagan, S.b , Rani, V.R.c , Muraleedharan, C.d
A paradigm quantitative approach for a regional risk assessment and management in a few landslide prone hamlets
along the windward slope of Western Ghats, India
(2014) International Journal of Disaster Risk Reduction, 7, pp. 142-153.
a Department of Earth Sciences, Indian Institute of TechnologyMumbai, India b Centre for Geoinformatics and Planetary Sciences, Periyar UniversitySalem, India c Central Ground Water BoardThiruvananthapuram, India d Geological Survey of IndiaKolkata, India
Abstract Landslide occurrences in Western Ghats are not rare but rather a brooding omnipresent reality with all its fury. The
devastation caused by this cataclysmic phenomenon is unwittingly greater than one could imagine as the density of
population in the state of Kerala is ~800perkm2. This study aims at providing a quantitative estimation of elements
at risk to landslides in a stretch of landslide susceptible zones, demarcated using a heuristic approach and spreading
over a few hamlets in parts of Western Ghats. The vulnerability results reveal that: 1,321,056 nos. of human
population, 2656 cattle, livestock and poultry, and INR 2650 crore (~US$ 143 billion) worth of property are at risk.
Management practices, on a regional scale, along transport corridors and major settlement areas are proposed. As
this part of the world experiences a tropical climate, monsoon is the sole triggering mechanism of landslides.
Hence an early warning system with reference to rainfall and a series of surface drainage network will help in
minimizing the effects of the landslides.
Author Keywords Early warning system; Landslide management; Landslide susceptible
zone; Landslides; Risk; Vulnerability; Western Ghats
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Correspondence Address
Sajinkumar K.S.; Department of Geology, University of KeralaIndia
Publisher: Elsevier Ltd
ISSN: 22124209
DOI: 10.1016/j.ijdrr.2013.10.004
Language of Original Document: English
Abbreviated Source Title: Int. J. Disaster Risk Reduct.
Document Type: Article
Source: Scopus
Erzin, Y., Gul, T.O.
The use of neural networks for the prediction of the settlement of one-way footings on cohesionless soils based on
standard penetration test
(2014) Neural Computing and Applications, 24 (3-4), pp. 891-900.
Department of Civil Engineering, Celal Bayar University, 45140 Manisa, Turkey
Abstract In this study, artificial neural networks (ANNs) were used to predict the settlement of one-way footings, without a
need to perform any manual work such as using tables or charts. To achieve this, a computer programme was
developed in the Matlab programming environment for calculating the settlement of one-way footings from five
traditional settlement prediction methods. The footing geometry (length and width), the footing embedment depth,
the bulk unit weight of the cohesionless soil, the footing applied pressure, and corrected standard penetration test
varied during the settlement analyses, and the settlement value of each one-way footing was calculated for each
traditional method by using the written programme. Then, an ANN model was developed for each method to
predict the settlement by using the results of the analyses. The settlement values predicted from each ANN model
developed were compared with the settlement values calculated from the traditional method. The predicted values
were found to be quite close to the calculated values. Additionally, several performance indices such as
determination coefficient, variance account for, mean absolute error, root mean square error, and scaled percent
error were computed to check the prediction capacity of the ANN models developed. The constructed ANN models
have shown high prediction performance based on the performance indices calculated. The results demonstrated
that the ANN models developed can be used at the preliminary stage of designing one-way footing on cohesionless
soils without a need to perform any manual work such as using tables or charts. © 2012 Springer-Verlag London.
Author Keywords Artificial neural networks; Cohesionless soils; One-way footing; Settlement; Standard penetration test
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Correspondence Address
Erzin Y.; Department of Civil Engineering, Celal Bayar University, 45140 Manisa, Turkey; email:
ISSN: 09410643
DOI: 10.1007/s00521-012-1302-x
Language of Original Document: English
Abbreviated Source Title: Neural Comput. Appl.
Document Type: Article
Source: Scopus
Eker, R., Aydin, A.
Assessment of forest road conditions in terms of landslide susceptibility: A case study in Yi{dotless}ǧi{dotless}lca
Forest Directorate (Turkey)
(2014) Turkish Journal of Agriculture and Forestry, 38 (2), pp. 281-290.
Düzce University, Düzce, Turkey
Abstract Forest roads are one of the biggest investments in forest management. Their possible adverse effect on the
environment is becoming an important issue for administrators due to a recent increase in public awareness.
Especially in the Black Sea Region of Turkey, road-related landslides are common in forested areas because the
roads are located in hilly regions with steep slopes. In addition to their impact on forests, landslides can cause
damage to roadbeds which requires immediate maintenance. Landslide-susceptibility maps are widely used for
different purposes such as reducing the effects of landslides, decision making, and planning. These maps can easily
be generated by utilizing the advanced features of Geographical Information Systems (GIS) and computer
technologies. Logistic regression (LR) is a widely used technique for mapping landslide susceptibility; landslide
conditioning parameters such as topography, lithology, land use, distance to streams and roads, and curvature can
be mapped by GIS tools. In this study a fieldworkgenerated inventory of 288 landslides was used to produce a
landslide-susceptibility map for the Yi{dotless}ǧi{dotless}lca Forest Directorate (Turkey). This map was generated
by applying a GIS-based LR method. Land use, lithology, elevation, slope, aspect, distance to streams, distance to
roads, and plan curvature were considered as the landslide conditioning parameters. After the landslide-
susceptibility map was divided into 5 classes of susceptibility (very low, low, moderate, high, and very high), it
was overlapped with a road network map in order to evaluate forest road conditions in terms of landslide
susceptibility. For a quantitative analysis of forest road-landslide interaction, 2 new parameters were determined: a
landslide frequency index (divided into general and real) and a road-landslide index (divided into general and real).
Real landslide frequency and general landslide frequency on the roads were found to be 0.42 and 0.18,
respectively. The results showed that the real road-landslide index and the general road-landslide index in the area
were 0.10 and 0.04, respectively. © TÜBİTAK.
Author Keywords Forest road networks; Landslide frequency; Landslide susceptibility; Logistic regression; Road-landslide
index; Yi{dotless}ǧi{dotless}lca
Index Keywords Forest road networks, Landslide frequency, Landslide susceptibility, Logistic regressions, Road-landslide index;
Economics, Forestry, Geographic information systems, Highway planning, Land use, Lithology, Motor
transportation, Regression analysis, Roads and streets; Landslides; forest management, frequency
analysis, GIS, hazard assessment, inventory, landslide, logistics, mapping, regression analysis, roadside
environment, slope dynamics, slope stability; Economics, Forestry, GIS, Land Use, Regression Analysis; Turkey
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Correspondence Address
Eker R.; Düzce University, Düzce, Turkey; email: [email protected]
ISSN: 1300011X
DOI: 10.3906/tar-1303-12
Language of Original Document: English
Abbreviated Source Title: Turk. J. Agric. For.
Document Type: Article
Source: Scopus
Drusa, M., Chebeň, V., Bulko, R.
New technologies implemented in geotechnical monitoring on transport constructions
(2014) International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology
Management, SGEM, 2, pp. 651-656.
University of Žilina, Department of Geotechnics, Slovakia
Abstract A new route of D1 motorway in the north of Slovakia must across territory with high susceptibility to landslide
movements. Several slope deformations with different activity were identified in the studied area of Šútovo and
Kraľovany landslide [2],[8]. Due to narrow valley relief, existing railroad line and water dam, it is not an easy task
to design the route of the future motorway. Geotechnical monitoring of landslide movements by vertical
inclinometer, TDR inclinometers, terrestrial geodetic monitoring and observation of ground water regime were
designed and implemented according to the provided detailed engineering geological survey. Both the standard
methods for monitoring and new progressive technologies were used, and they are further described in this article.
Author Keywords Geohazards; Geotechnical monitoring; Landslide; TDR inclinometer
Index Keywords Design, Geology, Groundwater; Geo-hazards, Geodetic monitoring, Geotechnical monitoring, Landslide
movements, Railroad lines, Slope deformation, Slovakia, TDR inclinometer; Landslides
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ISSN 1314-2704
Drusa, M., Chebeň, V., Prohovníková, P.
Functionality Of Tdr Piezometers And Inclinometers for Monitoring of Slope Deformations In: Sgem 2013
(2013) 13th international multidisciplinary scientific geoconference: conference proceedings, 2, pp. 157-164.
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Correspondence Address
Drusa M.; University of Žilina, Department of GeotechnicsSlovakia
Sponsors:
Publisher: International Multidisciplinary Scientific Geoconference
Conference name: 14th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2014
Conference date: 17 June 2014 through 26 June 2014
Conference code: 109709
ISSN: 13142704
ISBN: 9786197105087
Language of Original Document: English
Abbreviated Source Title: Int. Multidisciplinary Sci. Geoconf. Surveying Geology Mining Ecology Manage.,
SGEM
Document Type: Conference Paper
Source: Scopus
Chebeň, V.
Performance of geocell foundation on compressible soil
(2014) International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology
Management, SGEM, 2, pp. 707-714.
University of Žilina, Slovakia
Abstract Contemporary geotechnical engineering is challenged with building in difficult geological environment while
design has to be structurally and economically effective. Such proposals require use of new materials and methods
that fulfill all the requirements of the project. Compressible high plasticity clay is generally unwanted foundation
soil for many professionals. Costly solutions such as soil replacement, lime stabilization and other can be an option
when high ground water level does not occur. Proposed paper compares gravel mattress and geocell reinforced
embankment for subbase of heavily loaded floor/pavement. A full-scale field tests were carried out to research
deformation characteristics and its performance on soft subgrade. Concept of hardening effect of geocell reinforced
structure has been verified as measurements were performed with the time span of almost 2 years.
Author Keywords Geocell; Gravel mattress; Plate load test; Soft soil
Index Keywords Geology, Geotechnical engineering, Gravel, Groundwater, Reinforcement, Soils, Water levels; Deformation
Characteristics, Full-scale field tests, Geocells, Geological environment, Plate load tests, Reinforced
embankments, Reinforced structures, Soft soils; Stabilization
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Decký, M.-D., Pepucha, M., Ľ Zgútová, K.
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Drusa, M.
(2012) Improvement In Evaluation of Neogenous Soils By Cpt Testing in 12th International Multidisciplinary
Scientific GeoConference Proceedings, 2, pp. 151-158.
ISSN 1314-2704, June 17-23
Drusa, M., Lamich, D., Vlcek, J., Heviankova, S., Kyncl, M., Kais, L., Marschalko, M., Bednarik, M.
Design Limits of Reinforced Soil Structures In Difficult Geological Conditions.
(2013) 13th SGEM GeoConference Proceedings, 2, pp. 71-78.
ISBN 978-954-91818-8-3/ISSN 1314-2704, June 16-22
Kubecka, K., Kubeckova, D., Penaz, T., Marschalko, M., Yilmaz, I., Bouchal, T., Drusa, M., Duraj, M.
The Role Of Engineering-Geological Zones In Foundation Engineering
(2012) 12th International Multidisciplinary Scientific GeoConference Proceedings, 2, pp. 339-346.
ISSN 1314-2704, June 17-23
Marschalko, M., Yilmaz, I., Kubečka, K., Bouchal, T., Bednárik, M., Drusa, M., Bendová, M.
Utilization of ground subsidence caused by underground mining to produce a map of possible land-use areas for
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(2013) Conference, 2, pp. 249-256.
solution of the slope stability, SGEM, Proceedings, ISBN 978-954-91818-8-3/ISSN 1314-2704, June 16-22,
2013
Pokharel, S.K., Han, J., Leshchinsky, D., Parsons, R.L.
Halahmi I.:Investigation of factors influencing behavior of single geocell-reinforced bases under static loading,
(2010) Geotextiles and Geomembranes, 28 (6).
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Geosyntetika. Ťahová skúška pevnosti širokej vzorky,
STN EN ISO 10319
Geosyntetika. Ťahová skúška pevnosti spojov/švov metódou Strip na širokých vzorkách,
STN EN ISO 10321
Zhang, L., Zhao, M., Zou, X., Zhao, H.
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July
Zhang, L., Zhao, M., Shi, C., Zhao, H.
Bearing capacity of geocell reinforcement in embankment engineering,
(2010) Geotextiles and Geomembranes, 28 (5).
October
Correspondence Address
Cheben V.; University of ŽilinaSlovakia
Sponsors:
Publisher: International Multidisciplinary Scientific Geoconference
Conference name: 14th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2014
Conference date: 17 June 2014 through 26 June 2014
Conference code: 109709
ISSN: 13142704
ISBN: 9786197105087
Language of Original Document: English
Abbreviated Source Title: Int. Multidisciplinary Sci. Geoconf. Surveying Geology Mining Ecology Manage.,
SGEM
Document Type: Conference Paper
Source: Scopus
Drusa, M., Vlček, J., Kais, L.
Analysis of piled embankment on soft soil
(2014) International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology
Management, SGEM, 2, pp. 57-62.
University of Žilina, Department of Geotechnics, Slovakia
Abstract There are various types of solutions for the design of embankment foundation on soft subsoil. Good results are
obtained using combined soil structures reinforced by geosynthetics. Advantages of these structures lie in
simplicity of construction, costeffectiveness, the ability of better resistance against non-homogeneous foundation
conditions. Additionally, resistance to extreme situations (seismic load, floods, etc.), as well as resistance to
dynamic load effects from transport and uneven settlements is vastly improved. Currently, there are many design
recommendations by several authors, but only a few standard procedures. New recommended methods can still be
introduced for design of piled embankment demonstrated on real construction part of modernized high-speed
railway line.
Author Keywords High strength geogrids; Load transfer platform; Piled embankment; Soft subsoil
Index Keywords Design, Dynamic loads, Geosynthetic materials, Railroad transportation, Soils; Design
recommendations, Embankment foundation, Geogrids, High - speed railways, Load transfer platforms, Piled
embankments, Soft subsoil, Standard procedures; Embankments
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Malík, F.
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ISBN 978-80-8070- 920-4 (in Slovak)
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Evaluation of subsidence due to underground coal mining: An example from the Czech Republic
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Evaporites, 26 (2), pp. 193-209.
Zgútová, K., Decký, M., Ďureková, D.
Implementation of static theory of impulse into correlation relations of relevant deformation characteristics of
earth construction
(2012) conference proceedings, pp. 107-115.
SGEM 2012, 17-23, June , Albena, Bulgaria: , Sofia: STEF92 Technology, 2012. ISSN 1314-2704
Correspondence Address
Drusa M.; University of Žilina, Department of GeotechnicsSlovakia
Sponsors:
Publisher: International Multidisciplinary Scientific Geoconference
Conference name: 14th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2014
Conference date: 17 June 2014 through 26 June 2014
Conference code: 109709
ISSN: 13142704
ISBN: 9786197105087
Language of Original Document: English
Abbreviated Source Title: Int. Multidisciplinary Sci. Geoconf. Surveying Geology Mining Ecology Manage.,
SGEM
Document Type: Conference Paper
Source: Scopus
Buccheri, G.a , Andráš, P.a b c , Dadová, J.b , Kupka, J.b
Heavy metal contamination and its impact on plants at Caporciano Cu-mine (Montecatini Val di Cecina, Italy)
(2014) Carpathian Journal of Earth and Environmental Sciences, 9 (4), pp. 73-81.
a Faculty of Science, Matej Bel University, Tajovského 40Banská Bystrica, Slovakia
b Faculty of Mining and Geology, VSB-Technical University of Ostrava, 17. listopadu, 15Ostrava-Poruba, Czech
Republic c State Nature Conservancy of the Slovak Republic, Tajovského ul. 28BBanská Bystrica, Slovakia
Abstract This article reports an environmental study concerning the abandoned Caporciano copper mine in Montecatini Val
di Cecina. The environmental matrices (water, soil, dump sediments, plants) of the studied mining sites were
investigated in order to evaluate its environmental status. The heavy metals mobilization can cause contamination
of country components. Our attention was focused on heavy metal content in the studied environmental matrices.
Concentration values which we found out by laboratory analyses were also compared with concentration limits
provided by Italian law (L.D. 152/06) as far as soil and water are concerned. Acidification potential of dump
sediments and soils from the dump was also studied. The acidification risk seems to be negligible. The
bioconcentration factor (BIF <1) and translocation factor (TF in average 4.063 for Pinus sp. and 3.340 for Quercus
sp.) of the heavy metals in the studied plants indicate that the plants are excluders. Also the enrichment factor (EF)
is not very high. The highest EF value was calculated for Cd in Pinus sp. (in average 42.59), while for Mn, Pb and
Cu in Quercus sp. (EF = 8.10, 8,00, 8.23 in average). The lowest EF shows Cd in Quercus sp. (1.19 in average).
Author Keywords Biocaccumulation factor; Contamination; Dump-field; Enrichment factor; Heavy
metals; Plants; Soil; Translocation factor
Index Keywords acidification, bioaccumulation, concentration (composition), copper, enrichment, growth response, heavy
metal, mine waste, plant, soil pollution; Caporciano, Italy; Cecina, Quercus
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Document Type: Article
Source: Scopus
Jaafari, A.a , Najafi, A.a , Pourghasemi, H.R.b , Rezaeian, J.c , Sattarian, A.d
GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian
forest, northern Iran
(2014) International Journal of Environmental Science and Technology, 11 (4), pp. 909-926.
a Department of Forestry, Tarbiat Modares University (TMU), P.O. Box: 64414-356, Noor, Mazandaran, Iran b Department of Watershed Management Engineering, Tarbiat Modares University (TMU), Noor, Iran c Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran d Department of Forestry, Gonbad Kavous University, Gonbad Kavous, Iran
Abstract This study presents a landslide susceptibility assessment for the Caspian forest using frequency ratio and index of
entropy models within geographical information system. First, the landslide locations were identified in the study
area from interpretation of aerial photographs and multiple field surveys. 72 cases (70 %) out of 103 detected
landslides were randomly selected for modeling, and the remaining 31 (30 %) cases were used for the model
validation. The landslide-conditioning factors, including slope degree, slope aspect, altitude, lithology, rainfall,
distance to faults, distance to streams, plan curvature, topographic wetness index, stream power index, sediment
transport index, normalized difference vegetation index (NDVI), forest plant community, crown density, and
timber volume, were extracted from the spatial database. Using these factors, landslide susceptibility and weights
of each factor were analyzed by frequency ratio and index of entropy models. Results showed that the high and
very high susceptibility classes cover nearly 50 % of the study area. For verification, the receiver operating
characteristic (ROC) curves were drawn and the areas under the curve (AUC) calculated. The verification results
revealed that the index of entropy model (AUC = 75.59 %) is slightly better in prediction than frequency ratio
model (AUC = 72.68 %). The interpretation of the susceptibility map indicated that NDVI, altitude, and rainfall
play major roles in landslide occurrence and distribution in the study area. The landslide susceptibility maps
produced from this study could assist planners and engineers for reorganizing and planning of future road
construction and timber harvesting operations. © 2013 Islamic Azad University (IAU).
Author Keywords Forest road construction; Mountainous terrain; Slope stability; Susceptibility modeling
Index Keywords Entropy, Geographic information systems, Landslides, Lithology, Logging (forestry), Rain, Road
construction, Sediment transport, Slope stability; Landslide susceptibility, Landslide susceptibility
assessments, Mountainous terrain, Normalized difference vegetation index, Occurrence and distribution, Receiver
operating characteristic curves, Timber harvesting operations, Topographic wetness index; Slope protection;
entropy, GIS, landslide, mountain region, NDVI, plant community, risk assessment, road construction, sediment
transport, slope stability, terrain; Earth Movement, Entropy, GIS, Logging, Rain; Iran
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Correspondence Address
Najafi A.; Department of Forestry, Tarbiat Modares University (TMU), P.O. Box: 64414-356, Noor, Mazandaran,
Iran; email: [email protected]
Publisher: Center for Environmental and Energy Research and Studies
ISSN: 17351472
DOI: 10.1007/s13762-013-0464-0
Language of Original Document: English
Abbreviated Source Title: Int. J. Environ. Sci. Technol.
Document Type: Article
Source: Scopus
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Abstract The paper deals with use of the meshless method for soil subsurface settlement analysis. There are many
formulations of the meshless methods. The article presents the Meshless Local Petrov-Galerkin method (MLPG) -
local weak formulation of the equilibrium equations. The main difference between meshless methods and the
conventional finite element method (FEM) is that meshless shape functions are constructed using randomly
scattered set of points without any relation between points. The Heaviside step function is test function used in the
meshless implementation presented in the article. Heaviside test function makes weak formulation integral very
simple, because only body integral in governing equation is due a body force. © (2014) Trans Tech Publications,
Switzerland.
Author Keywords Heaviside step function; Meshless local Petrov-Galerkin method; Meshless methods; Moving least
squares; Numerical methods
Index Keywords Galerkin methods, Numerical methods, Partial differential equations; Equilibrium equation, Governing
equations, Heaviside step function, Mesh-less methods, Meshless Local Petrov-Galerkin Methods, Meshless shape
functions, Moving least squares, The meshless local petrov-galerkin methods (MLPG); Soil testing
References
Kovarik, K.
A meshless solution of two dimensional density-driven groundwater flow
(2011) Boundary Elements and Other Mesh Reduction Methods XXXIII, pp. 253-264.
Southampton, WIT Press
Gu, Y.T., Liu, G.R.
A meshless Local Petrov-Galerkin (MLPG) formulation for static and free vibration analyses of thin plates
(2001) Computer Modeling In Engineering & Sciences, pp. 463-476.
Kovarik, K.
Numerical simulation of groundwater flow and pollution transport using the dual reciprocity and RBF method
(2010) Komunikacie - Communications, 123 a, pp. 5-10.
Kovarik, K., Sitanyiova, D., Masarovicova, S.
(2008) Water-engineering Construction [Vodohospodarske Stavby], p. 217.
University of Zilina
Izvoltova, J., Villim, A.
Identification of observations errors by Gauss-Jacobi algorithm [Aplikacia Gauss-Jacobiho algoritmu pri
identifikacii chyb merania]
(2012) In: Civil and Environmental Engineering, 81, pp. 13-17.
Drusa, M., Lamich, D., Vlcek, J., Heviankova, S., Kyncl, M., Marschalko, M., Yilmaz, I., Bednarik, M.
Verification of the results of the geotechnical monitoring using finite element method
(2013) SGEM 2013, GeoConference On Science and Technologies In Geology, Exploration and Mining, 13th
International Multidisciplinary Scientific Geoconference, pp. 533-540.
Nguyen, G.
An influence of different values of soils shear strength parameters on the size of spread foundation with an
inclined eccentric load
(2012) Theoretical Foundation of Civil Engineering, pp. 451-456.
Warszawa, Politechnika Warszawska XXI Russian-Slovak-Polish 2012
Drusa, M., Lamich, D., Vlcek, J., Heviankova, S., Kyncl, M., Kais, L., Marschalko, M., Bednarik, M.
Design limits of reinforced soil structures in difficult geological conditions
(2013) SGEM 2013, GeoConference On Science and Technologies In Geology, Exploration and Mining, 13th
International Multidisciplinary Scientific Geoconference, pp. 71-78.
Correspondence Address
Muzik J.; University of Zilina, Univerzitná 8215/1, 010 26 Zilina, Slovakia; email: [email protected]
Sponsors:
Publisher: Trans Tech Publications Ltd
Conference name: 6th International Scientific Conference on Dynamic of Civil Engineering and Transport
Structures and Wind Engineering, DYN-WIND 2014
Conference date: 25 May 2014 through 29 May 2014
Conference location: Donovaly
Conference code: 107463
ISSN: 16609336
ISBN: 9783038351979
DOI: 10.4028/www.scientific.net/AMM.617.209
Language of Original Document: English
Abbreviated Source Title: Appl. Mech. Mater.
Document Type: Conference Paper
Source: Scopus
Holzer, R., Bednarik, M., Laho, M.
Are there rocks of the Brezovské Karpaty Mts. suitable for construction and decoration purpose? [Sú horniny z
Brezovských Karpát vhodné na stavebné a dekoračné účely?]
(2014) Acta Geologica Slovaca, 6 (1), pp. 13-27.
Katedra Inžinierskej Geológie, Prírodovedecká Fakulta, Univerzita Komenského v Bratislave, Mlynská dolina G,
842 15 Bratislava, Slovakia
Abstract This research has focused on assessing the most important physical and mechanical properties of rocks quarried in
the Brezovské Karpaty Mts. Carbonate sandstones and conglomerates of Upper Cretaceous and carbonate
sandstone of Neogene sedimentary strata were considered. The sites Chtelnica - Trianova and Chtelnica - Malé
Skalky were chosen as appropriate material for monuments and for restoration work. Samples for the assessment of
rock properties were taken from abandoned and operated quarries. The tested specimens for laboratory tests in a
form of cubes and cylinders were prepared from monoliths and drilled cores were taken from the depth up to 1 m
within the rock mass. To broaden the scope of the investigations previous research results from quarries at St.
Margarethen (Burgenland, Austria) in similar lithological type were also included. Thin sections were made from
one of the drill cores from each quarry. The rock quality and durability were assessed through laboratory testing of
physical and mechanical properties, including measurements of real and apparent density, porosity, water
absorption capacity, uniaxial compressive strength (UCS) for both dry and water-saturated rock samples and for
samples following repeated freeze-thaw cycles, the coefficient of softening and the coefficient of freezing. All
investigated rock samples had different porosities and absorption capacities. They also differed in their UCS
values, which varied greatly but mostly belonged to the weak rock category (UCS below 50 MPa). Based on
physical and mechanical properties of rocks assessed on a number of tested samples from two investigated sites in
Slovakia and one comparable site in Austria, quality assurance of the rock utilization as a decoration/restoration
material is presented.
Author Keywords Chtelnica - Malé Skalky quarry; Chtelnica - Trianova quarry; Decoration; Physical and mechanical rock
properties; Restoration and building stone; Weak rocks
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Fatul, R.
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Holzer, R., Laho, M., Bednarik, M., Greif, V.
Characteristics and sources of the dimension stone used on significant historic buildings and monuments in
slovakia
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Holzer, R., Laho, M., Wagner, P., Bednarik, M.
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Hornáčková, A.
(2008) Dobrovodský Kameň, pp. 47-48.
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Laho, M.
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Laho, M., Bednarik, M., Holzer, R., Rohatsch, A., Greif, V., Humer, F.
Is there any relation between dimension stones of bratislava's monuments and petronell und carnuntum roman
settlements?
(2008) Geophysical Research Abstracts, p. 10.
Göttingen
Laho, M., Bednarik, M., Holzer, R., Wagner, P.
Výber stavebného kameňa pre rekonštrukciu historických objektov
(2009) Acta Geologica Slovaca, 1 (1), pp. 9-14.
Marschalko, M., Juriš, P.
Task of engineering geology in land-use planning on the example of four selected geofactors
(2009) Acta Montanistica Slovaca, 14 (4), pp. 275-283.
Marschalko, M., Lahuta, H., Juriš, P.
Analysis of workability of rocks and type of prequarternary bedrock in the selected part of the ostrava
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(2008) Acta Montanistica Slovaca, 13 (2), pp. 195-203.
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Evaluation of engineeringgeological conditions for conurbation of ostrava (czech republic) within gis
environment
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Miocene strike-slip faulting and block rotation in brezovské karpaty mts. (western carpathians)
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Dekoračné a stavebné kamene kostolov centra Trnavy
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KPÚ, Trnava
Pivko, D.
Významné horniny používané ako opracované kamene v historických pamiatkach Slovenska
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Petrografické vyhodnotenie vzoriek z archeologického výskumu Baziliky sv. Mikuláša a karnera v Trnave
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Polakovič, J.
(1998) História Chtelnice, pp. 5-12.
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(1980) Západné Karpaty, Séria Geológia, 6, pp. 81-111.
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31.3.1999, 20p.
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Štefanovičová, T., Frolík, J., Zeman, A., Beňuš, R., Holzer, R., Laho, M., Durmeková, T., Greif, V.
Dóm sv. Martina v Bratislave
(2004) Archeologický Výskum, pp. 62-70.
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Otvorenej Pórovitosti, 12p.
STN EN 1936, SÚTN, Bratislava
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Publisher: Comenius University
ISSN: 13380044
Language of Original Document: English; Slovak
Abbreviated Source Title: Acta Geol. Slovaca
Document Type: Article
Source: Scopus
Cajka, R., Krejsa, M.
Measured data processing in civil structure using the DOProC method
(2014) Advanced Materials Research, 859, pp. 114-121. Cited 8 times.
Department of Structures, VSB - Technical University Ostrava, Ludvika Podeste 1875/17, 708 33 Ostrava -
Poruba, Czech Republic
Abstract This paper describes the use of measured values in the probabilistic tasks by means of the new method which is
under development now - Direct Optimized Probabilistic Calculation (DOProC). This method has been used to
solve a number of probabilistic tasks. DOProC has been applied in ProbCalc - a part of this software is a module
for entering and assessing the measured data. The software can read values saved in a text file and can create
histograms with non-parametric (empirical) distribution of the probabilities. In case of the parametric distribution,
it is possible to make selection from among 24 defined types and specify the best choice, using the coefficient of
determination. This approach has been used, for instance, for modelling and experimental validation of reliability
of an additionally prestressed masonry construction. © (2014) Trans Tech Publications, Switzerland.
Author Keywords Bounded histogram; Direct optimized probabilistic calculation; DOProC method; HistAn; Probability
distribution; ProbCalc
Index Keywords Civil engineering, Data processing, Graphic methods, Statistical methods; Bounded histogram, Coefficient of
determination, DOProC method, Experimental validations, HistAn, Measured values, Parametric
distributions, ProbCalc; Probability distributions
References
Cajka, R., Stara, M., Mateckova, P., Janulikova, M.
Experimental Test of Brick Corner: Paper #21
(2011) Transactions of the VSB - Technical University of Ostrava: Construction Series, 11 (2), pp. 1-6.
Versita, ISSN 1804-4824. DOI: 10.2478/v10160-011-0021-z
Cajka, R., Mateckova, P., Stara, M., Mynarzova, L.
Probability Assessment of Compressive Strength as a Basis for Post Tensioned Masonry Testing
(2012) Recent Researchers In Environmental & Geological Sciences, pp. 447-450.
WSEAS Press, (4 p), ISSN 2227-4359, ISBN 978-1-61804-110-4
Cajka, R., Fojtik, R.
Development of Temperature and Stress during Foundation Slab Concreting of National Supercomputer Centre
IT4
(2013) Procedia Engineering, 65, pp. 230-235.
ISSN 1877-7058, DOI: 10.1016/j.proeng.2013.09.035
Janas, P., Krejsa, M., Krejsa, V.
Assessment Using Direct Determined Probabilistic Calculation
(2009) Proceedings of the Twelfth International Conference On Civil, Structural and Environmental
Engineering Computing,
Civil-Comp Press, Abstract (1 p), full paper (20 p). ISBN 978-1-905088-31-7. Elsevier B.V., 2012. ISBN 978-
190508830-0
Janas, P., Krejsa, M., Krejsa, V.
Using the Direct Determined Fully Probabilistic Method (DDFPM) for determination of failure
(2010) Proceedings of European Safety and Reliability Conference (ESREL 2009): Reliability, Risk and Safety:
Theory and Applications, 1-3, pp. 1467-1474.
Taylor & Francis Group, ISBN 978-0-415-55509-8, WOS: 000281188500203
Janas, P., Krejsa, M., Krejsa, V.
Software Package ProbCalc from the Poin of View of a User
(2010) Transactions of the VSB - Technical University of Ostrava: Construction Series, 10 (1), pp. 1-11.
Versita, ISSN 1804-4824. DOI: 10.2478/v10160-010-0010-7
Janas, P., Krejsa, M., Krejsa, V.
Statistical Dependence of Input Variables in DOProC Method
(2012) Transactions of the VSB - Technical University of Ostrava: Construction Series, 12 (2), pp. 48-58.
Versita, ISSN 1804-4824. DOI: 10.2478/v10160-012-0017-3
Kala, Z., Sandovic, G.
Fuzzy stochastic analysis of serviceability and ultimate limit states of two-span pedestrian steel bridge
(2012) Proceedings of AIP International Conference of Numerical Analysis and Applied Mathematics (ICNAAM
2012), 1479 (1), pp. 2070-2073.
ISSN 0094243X, ISBN 978-073541091-6. DOI: 10.1063/1.4756597
Kralik, J., Kralik Jr., J.
Probability assessment of analysis of high-rise buildings seismic resistance
(2013) Advanced Materials Research, 712-715, pp. 929-936.
ISSN 1022-6680, DOI: 10.4028/www.scientific.net/AMR.712-715.929
Krejsa, M.
Stochastic Modelling of Fatigue Crack Progression using the DOProC Method
(2012) Proceedings of the Eleventh International Conference On Computational Structures Technology, pp. 1-
18.
Civil-Comp Press, ISBN 978-1-905088-54-6, ISSN 1759-3433, doi: 10.4203/ccp.99.113
Krejsa, M., Janas, P., Krejsa, V.
Direct Optimized Probabilistic Calculation
(2012) Recent Advances In Systems Science & Mathematical Modelling: Proceedings of the
3<sup>rd</sup> International Conference On Mathematical Models For Engineering Science (MMES
'12), pp. 216-221.
WSEAS Press, ISBN 978-1-61804-141-8
Krejsa, M.
The Probabilistic Calculating of Fatigue Crack Propagation Using FCProbCalc Program
(2012) Proceedings of 18<sup>th</sup> International Conference Engineering Mechanics 2012, pp. 745-754.
ITAM AS CR, Prague, ISBN 978-80-86246-39-0
Krejsa, M.
Inspection Based Probabilistic Modeling of Fatigue Crack Progression
(2012) Recent Advances In Mechanical Engineering & Automatic Control: Proceedings of the
3<sup>rd</sup> European Conference of Mechanical Engineering (ECME' 12), pp. 104-109.
WSEAS Press, ISBN 978-1-61804-142-5
Krejsa, M., Janas, P., Cajka, R.
Using DOProC method in structural reliability assessme
(2013) Applied Mechanics and Materials: Mechatronics and Applied Mechanics II, 300-301, pp. 860-869.
Trans Tech Publications, ISSN 1660-9336, ISBN 978-303785651-2, DOI:
10.4028/www.scientific.net/AMM.300-301.860
Krejsa, M., Janas, P., Yilmaz, I., Marschalko, M., Bouchal, T.
The Use of the Direct Optimized Probabilistic Calculation Method in Design of Bolt Reinforcement for
Underground and Mining Workings
(2013) The Scientific World Journal, 2013.
Article ID 267593, 13 p. doi:10.1155/2013/267593
Krejsa, M.
Probabilistic Failure Analysis of Steel Structures Exposed to Fatigue
(2013) Key Engineering Materials, 577-578, pp. 101-104.
ISSN 1662-9795, DOI: 10.4028/www.scientific.net/KEM.577-578.101
Krejsa, M.
Probabilistic reliability assessment of steel structures exposed to fatigue
(2014) Proceedings of Conference ESREL 2013: Safety, Reliability and Risk Analysis: Beyond the Horizon,
Amsterdam, Nederland, pp. 2671-2679.
2013, Taylor & Francis Group, ISBN 978-1-138-00123-7
Krejsa, M., Janas, P., Krejsa, V.
Probabilistic calculation using DOProC method with statistically dependent input variables
(2013) Proceedings of the 11<sup>th</sup> International Probabilistic Workshop, pp. 203-218.
Brno, ISBN 978-80-214-4800-1
Krejsa, M., Cajka, R.
The foundation slab monitoring of the National Supercomputing Center - IT4 Innovations during construction
(2013) Proceedings of the 11<sup>th</sup> International Probabilistic Workshop, pp. 219-234.
Brno, ISBN 978-80-214-4800-1
Krivy, V., Fabian, L.
Calculation of corrosion losses on weathering steel structures
(2012) Applied Mechanics and Materials, 188, pp. 177-182.
ISSN: 16609336, ISBN: 978-303785452-5, DOI: 10.4028/www.scientific.net/AMM.188.177
Lokaj, A., Vavrusova, K., Rykalova, E.
Application of laboratory tests results of dowel joints in cement-splinter boards VELOX into the fully
probabilistic methods (SBRA method)
(2012) Applied Mechanics and Materials, 137, pp. 95-99.
ISSN: 16609336, ISBN: 978-303785291-0, DOI: 10.4028/www.scientific.net/AMM.137.95
Marschalko, M., Fuka, M., Treslin, L.
Measurements By the Method of Precise Inclinometry On Locality Affected By Mining
(2008) Archives of Mining Sciences, 53 (3), pp. 397-414.
ISSN 0860-7001, WOS: 000259381400006
Mikolasek, D., Sucharda, O., Brozovsky, J.
Analysis of composite timber-concrete ceiling structure by finite element method
(2013) Applied Mechanics and Materials, 351-352, pp. 254-259.
ISSN: 16609336, DOI: 10.4028/www.scientific.net/AMM.351-352.254
Novak, D., Vorechovsky, M., Teply, B.
FReET: Software for the statistical and reliability analysis of engineering problems and FReET-D: Degradation
module
(2013) Advances In Engineering Software,
ISSN: 09659978, DOI: 10.1016/j.advengsoft.2013.06.011
Stara, M., Janulikova, M.
Laboratory Measurements and Numerical Modeling of Prestressed Masonry
(2013) Procedia Engineering, 65, pp. 411-416.
ISSN 1877-7058, DOI: 10.1016/j.proeng.2013.09.064
Sykora, M., Holicky, M., Markova, J.
Verification of existing reinforced concrete bridges using the semi-probabilistic approach
(2013) Engineering Structures, 56, pp. 1419-1426.
ISSN: 01410296, DOI: 10.1016/j.engstruct.2013.07.015
Vavrusova, K.
New alternative methods for design of joints and elements of timber structures
(2013) Applied Mechanics and Materials, 351-352, pp. 1710-1713.
ISSN: 16609336, ISBN: 978-303785774-8, DOI: 10.4028/www.scientific.net/AMM.351-352.1710
Vorechovska, D., Teply, B., Chroma, M.
Probabilistic assessment of concrete structure durability under reinforcement corrosion attack
(2010) Journal of Performance of Constructed Facilities, 24 (6), pp. 571-579.
ISSN: 08873828, DOI: 10.1061/(ASCE)CF.1943-5509.0000130
Sponsors: Beijing Gireida Education Research Center; International Science and Education Researcher
Association, China; VIP-Information Conference Center,China
Publisher: Trans Tech Publications
Conference name: 2013 2nd International Conference on Civil Engineering and Material Engineering, CEME 2013
Conference date: 21 December 2013 through 22 December 2013
Conference location: Wuhan
Conference code: 101907
ISSN: 10226680
ISBN: 9783037859797
DOI: 10.4028/www.scientific.net/AMR.859.114
Language of Original Document: English
Abbreviated Source Title: Adv. Mater. Res.
Document Type: Conference Paper
Source: Scopus
Pradhan, A.M.S., Kim, Y.-T.
Relative effect method of landslide susceptibility zonation in weathered granite soil: A case study in Deokjeok-ri
Creek, South Korea
(2014) Natural Hazards, 72 (2), pp. 1189-1217.
Geosystems Engineering Laboratory, Department of Ocean Engineering, Pukyong National University, 559-1,
Daeyeon3-dong, Nam-gu, Pusan, 608-737, South Korea
Abstract The objective of this study was to produce and evaluate a landslide susceptibility map for weathered granite soils in
Deokjeok-ri Creek, South Korea. The relative effect (RE) method was used to determine the relationship between
landslide causative factors (CFs) and landslide occurrence. To determine the effect of CFs on landslides, data
layers of aspect, elevation, slope, internal relief, curvature, distance to drainage, drainage density, stream power
index, sediment transport index, topographic wetness index, soil drainage character, soil type, soil depth, forest
type, timber age, and geology were analyzed in a geographical information system (GIS) environment. A GIS-
based landslide inventory map of 748 landslide locations was prepared using data from previous reports, aerial
photographic interpretation, and extensive field work. A RE model was generated from a training set consisting of
673 randomly selected landslides in the inventory map, with the remaining 75 landslides used for validation of the
susceptibility map. The results of the analysis were verified using the landslide location data. According to the
analysis, the RE model had a success rate of 86.3 % and a predictive accuracy of 88.6 %. The validation results
showed satisfactory agreement between the susceptibility map and the existing data on landslide locations. The
results of this study can therefore be used to mitigate landslide-induced hazards and to plan land use. © 2014
Springer Science+Business Media Dordrecht.
Author Keywords Deokjeok-ri Creek; GIS; Landslide susceptibility; Relative effect; Weathered granite soil
Index Keywords GIS, land use change, land use planning, map, sediment transport, slope dynamics, soil depth, soil erosion;
Deokjeok-ri Creek, Kangwon, South Korea
Funding Details
National Research Foundation
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Correspondence Address
Kim Y.-T.; Geosystems Engineering Laboratory, Department of Ocean Engineering, Pukyong National University,
559-1, Daeyeon3-dong, Nam-gu, Pusan, 608-737, South Korea; email: [email protected]
Publisher: Kluwer Academic Publishers
ISSN: 0921030X
DOI: 10.1007/s11069-014-1065-z
Language of Original Document: English
Abbreviated Source Title: Nat. Hazards
Document Type: Article
Source: Scopus
Mužík, J.
Application of the meshless local Petrov-Galerkin method for subsoil bearing capacity analysis
(2014) International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology
Management, SGEM, 2, pp. 85-92.
University of Zilina, Slovakia
Abstract The paper deals with use of the meshless method for subsoil bearing capacity analysis. There are many
formulations of the meshless methods. The article presents the Meshless Local Petrov-Galerkin method (MLPG)–
local weak formulation of the equilibrium equations. The main difference between meshless methods and the
conventional finite element method (FEM) is that meshless shape functions are constructed using randomly
scattered set of points without any relation between points. The shape function construction is the crucial part of
the meshless numerical analysis in the construction of shape functions. The article presents the solution of the
Prandtl ultimate load of the fully saturated soil strip.
Author Keywords Bearing capacity; Meshless analysis; Meshless Petrov-Galerkin method
Index Keywords Bearing capacity, Galerkin methods, Soils; Capacity analysis, Equilibrium equation, Mesh-less
methods, Meshless, Meshless Local Petrov-Galerkin Methods, Meshless shape functions, Petrov-Galerkin
methods, The meshless local petrov-galerkin methods (MLPG); Finite element method
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A meshless solution of two dimensional density-driven groundwater flow
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Southampton, WIT Press
Gu, Y.T., Liu, G.R.
A meshless Local Petrov-Galerkin (MLPG) formulation for static and free vibration analyses of thin plates
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Kovarik, K., Sitanyiova, D., Masarovicova, S.
(2008), p. 217.
Vodohospodarske stavby. University of Zilina
Kovarik, K.
Numerical simulation of groundwater flow and pollution transport using the dual reciprocity and RBF method
(2010) Komunikacie–Communications, pp. 5-10.
Izvoltova, J., Villim, A.
Aplikacia Gauss-Jacobiho algoritmu pri identifikacii chyb merania
(2012) Civil and environmental engineering, 8, pp. 13-17.
Masarovicova, S.
Testing of rockfill material for soil structures design
(2012) Theoretical foundation of civil engineering: XXI Russian, pp. 441-446.
Slovak-Polish Seminar: Moscow-Arkhangelsk, 2012.-Warszawa: Politechnika Warszawska, ISBN 978-83-
7814-021-4
Decký, M., Drusa, M., Pepucha, Ľ., Zgútová, K.
EarthStructures of Transport Constructions
Pearson Education Limited 2013, p. 180.
Edinburg Gate, Harlow, Essex CM20 2JE, ISBN978-1-78399-925-5
Izvoltova, J.
Studentized residuals in the process of outliers detection
(2012) RU-PL-SK seminar: Theoretical Foundation of Civil Engineering,
Archangelsk, ISBN 978-7814-021-4
Drusa, M., Lamich, D., Vlcek, J., Heviankova, S., Kyncl, M., Kais, L., Marschalko, M., Bednarik, M.
Design limits of reinforced soil structures in difficult geological conditions
(2013) SGEM 2013, GeoConference on science and technologies in geology, exploration and mining, 13th
international multidisciplinary scientific geoconference, pp. 71-78.
Nguyen, G.
An influence of different values of soils shear strength parameters on the size of spread foundation with an
inclined eccentric load
(2012) Theoretical foundation of civil engineering: XXI Russian, pp. 451-456.
Slovak–Polish 2012, Warszawa: Politechnika Warszawska, ISBN 978-83-7814-021-4
Correspondence Address
Muzik J.; University of ZilinaSlovakia
Sponsors:
Publisher: International Multidisciplinary Scientific Geoconference
Conference name: 14th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2014
Conference date: 17 June 2014 through 26 June 2014
Conference code: 109709
ISSN: 13142704
ISBN: 9786197105087
Language of Original Document: English
Abbreviated Source Title: Int. Multidisciplinary Sci. Geoconf. Surveying Geology Mining Ecology Manage.,
SGEM
Document Type: Conference Paper
Source: Scopus
Mužík, J.
Analysis of geotechnical structures using meshless local petrov-galerkin radial point interpolation method
(2014) International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology
Management, SGEM, 2, pp. 41-48.
University of Zilina, Slovakia
Abstract The paper deals with use of the meshless method for soil stress-deformation analysis. There are many formulations
of the meshless methods. The article presents the Meshless Local Petrov-Galerkin method (MLPG) – local weak
formulation of the equilibrium equations. The main difference between meshless methods and the conventional
finite element method (FEM) is that meshless shape functions are constructed using randomly scattered set of
points without any relation between points. The shape function construction is the crucial part of the meshless
numerical analysis in the construction of shape functions. The article presents the radial point interpolation method
(RPIM) for the shape functions construction.
Author Keywords Meshless analysis; Meshless petrov-galerkin method; Soil settlement
Index Keywords Computational mechanics, Galerkin methods, Interpolation; Geotechnical structure, Meshless, Meshless local
Petrov-Galerkin, Meshless shape functions, Petrov-Galerkin methods, Radial point interpolation method, Soil
settlements, The meshless local petrov-galerkin methods (MLPG); Finite element method
References
Gu, Y.T., Liu, G.R.
A Meshless Local Petrov-Galerkin (MLPG) Method for Free and Forced Vibration Analyses for Solids
(2001) Computational Mechanics, 27, pp. 188-198.
Kovarik, K.
A meshless solution of two dimensional density-driven groundwater flow
(2011) Boundary elements and other mesh reduction methods XXXIII, pp. 253-264.
Southampton, WIT Press
Gu, Y.T., Liu, G.R.
A meshless Local Petrov-Galerkin (MLPG) formulation for static and free vibration analyses of thin plates
(2001) Computer Modeling in Engineering & Sciences, pp. 463-476.
Kovarik, K., Sitanyiova, D., Masarovicova, S.
(2008) Vodohospodarske stavby, p. 217.
University of Zilina
Kovarik, K.
Numerical simulation of groundwater flow and pollution transport using the dual reciprocity and RBF method
(2010) Komunikacie – Communications, 3a, pp. 5-10.
Izvoltova, J., Villim, A.
Aplikacia Gauss-Jacobiho algoritmu pri identifikacii chyb merania
(2012) Civil and environmental engineering, 8 (1), pp. 13-17.
Masarovicova, S.
(2012) Testing of rockfill material for soil structures design, In: Theoretical foundation of civil
engineering, pp. 441-446.
XXI Russian -Slovak -Polish Seminar: Moscow -Arkhangelsk, Warszawa: Politechnika Warszawska, 2012,
ISBN 978-83-7814-021-4
Shu, C., Ding, H., Yeo, K.S.
Local Radial Basis Function-based Differential Quadrature Method and its Application to Solve Two-
dimensional Incompressible Navier-Stokes Equations
(2003) Comput. Meth. Appl. Mech. Eng, 192, pp. 941-954.
Izvoltova, J.
Studentized residuals in the process of outliers detection
(2012) RU-PL-SK seminar: Theoretical Foundation of Civil Engineering,
Archangelsk, ISBN 978-7814-021-4
Drusa, M., Lamich, D., Vlcek, J., Heviankova, S., Kyncl, M., Kais, L., Marschalko, M., Bednarik, M.
Design limits of reinforced soil structures in difficult geological conditions. SGEM 2013
(2013) GeoConference on science and technologies in geology, exploration and mining, 13th international
multidisciplinary scientific geoconference, pp. 71-78.
Nguyen, G.
An influence of different values of soils shear strength parameters on the size of spread foundation with an
inclined eccentric load
(2012) Theoretical foundation of civil engineering, pp. 451-456.
XXI Russian -Slovak ň– Polish, Warszawa: Politechnika Warszawska, 2012. -ISBN 978-83-7814-021-4
Correspondence Address
Muzik J.; University of ZilinaSlovakia
Sponsors:
Publisher: International Multidisciplinary Scientific Geoconference
Conference name: 14th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2014
Conference date: 17 June 2014 through 26 June 2014
Conference code: 109709
ISSN: 13142704
ISBN: 9786197105087
Language of Original Document: English
Abbreviated Source Title: Int. Multidisciplinary Sci. Geoconf. Surveying Geology Mining Ecology Manage.,
SGEM
Document Type: Conference Paper
Source: Scopus
Xiaojun, Z., Guangli, G., Jianfeng, Z., Qingbiao, G.
Dynamic surface subsidence characteristics due to shallow coal seam mining on small time scales
(2014) Electronic Journal of Geotechnical Engineering, 19 (Z1), pp. 9543-9561.
Key Laboratory for Land Environment and Disaster Monitoring of SBSM, China University of Mining and
Technology Xuzhou, China
Abstract Surface subsidence is the most common disaster in mining areas and has resulted in a series of geological
problems, especially subsidence disasters due to shallow coal seam mining is serious. Based on a physical
modeling test of shallow coal seam mining, the dynamic subsidence characteristics on the small time scale in
different affected areas are studied. Simulated results indicate that the dynamic subsidence of surface points above
the mining panel is time-scale dependent. The subsidence-time curve of a surface point is ladder-shaped and the
subsidence velocity-time curve shows periodic fluctuations on the small time scale, which is different from how it
shows on the large time scale. According to the relationship between subsidence velocity and time scale, the
subsidence process of a surface point in active subsidence phase above the working face can be divided into two
subsidence states: ladder-shaped rapid subsidence state and intermittent slow subsidence state. In the first state,
subsidence velocity presents negative exponential decay with an increase in time scale; strata breakage during the
mining process is the main reason for ladder-shaped subsidence. Additionally, it is easier to detect uplift
phenomenon at subsidence basin edges using monitoring data on small time scales. This study on the dynamic
surface subsidence characteristics on small time scales further improves the system of mining subsidence theory
and provides a theoretical reference for predicting surface subsidence disaster.
Author Keywords Shallow coal seam mining; Small time scales; Surface dynamic subsidence
Index Keywords Dynamic surface, Shallow coal seam, Surface dynamic subsidence, Time-scales; coal mining, coal seam, disaster
management, dynamic response, monitoring, prediction, subsidence, timescale
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Guo, G.L., Feng, W.K., Zha, J.F., Liu, Y.X., Wang, Q.
Subsidence control and farmland conservation by solid backfilling mining technology
(2011) Transactions of Nonferrous Metals Society of China, 213, pp. S665-S669.
Huang, Q.X.
Ground pressure behavior and definition of shallow seams
(2002) Chinese Journal of Rock Mechanics and Engineering, 21 (8), pp. 1174-1177.
Huang, L.T., Wnag, J.Z.
Research on laws and computational methods of dynamic surface subsidence deformation
(2008) Journal of China University of Mining and Technology, 37 (2), pp. 211-215.
Huang, Y.L., Zhang, J.X., An, B.F., Zhang, Q.
Overlying strata movement law in fully mechanized coal mining and backfilling longwall face by similar
physical simulation
(2011) Journal of Mining Science, 47 (5), pp. 618-627.
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Subsidence development with time - experiences from longwall operations in the Appalachian coalfield
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Current situation and structural analysis of coal resources
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China Coal
Marschalko, M., Yilmaz, I., Kristkova, V., Fuka, M., Kubecka, K., Bouchal, T., Bednarik, M.
Optimization of building site category determination in an undermined area prior to and after exhausting coal
seams
(2012) International Journal of Rock Mechanics and Mining Sciences, 54, pp. 9-18.
Mitchell, R.J., Olsen, R.S., Smith, J.D.
Model studies on cemented tailings used in mine backfill: Can geotech J, V19, N1, Feb 1982, P14-28
(1983) International Journal of Rock Mechanics and Mining Sciences & Geomechanics
Abstracts, 20 (1), pp. 14-28.
Qian, M.G., Miao, X.X., Xu, J.L., Mao, X.B.
Theory of key strata in strata control
(2003), China University of Mining and Technology Press, Xuzhou
Wang, J.Z., Meng, Z.W., Ma, W.M., Xing, A.S.
The study of the maximum subsidence velocity measurements with a reasonable time interval
(1983), (3), pp. 31-34.
Mine Surveying
Yu, G.M., Yang, L., Wang, Y.Y., Shen, L.S., Su, Z.J.
Application of nonlinear science in the mining subsidence
(1997) Journal of Fuxin Mining institute, 16 (4), pp. 385-388.
Yang, H.C., Ddeng, K.Z., Guo, G.L.
Monitoring technique for deformation measurement of similar material model with digital close-range
photogrammetry
(2006) Journal of China Coal Society, 31 (3), pp. 292-295.
Zhang, J.X., Li, J., An, T.L., Huang, Y.L.
Deformation characteristic of key stratum overburden by raw waste backfilling with fully-mechanized coal
mining technology
(2010) Journal of China Coal Society, 35 (3), pp. 357-362.
Zhu, W.B., Xu, J.L., Shi, X.S., Wang, X.Z., Liu, W.T.
Research on influence of overburden primary key stratum movement on surface subsidence with in-situ drilling
test
(2009) Chinese Journal of Rock Mechanics and Engineering, 28 (2), pp. 403-409.
Zhu, G.Y., Shen, H.X., Wang, L.G.
Study of dynamic prediction function of surface movement and deformation
(2011) Chinese Journal of Rock Mechanics and Engineering, 30 (9), pp. 1889-1895.
Publisher: E-Journal of Geotechnical Engineering
ISSN: 10893032
Language of Original Document: English
Abbreviated Source Title: Electron. J. Geotech. Eng.
Document Type: Article
Source: Scopus
Cajka, R.a , Krejsa, M.b
Validating a computational model of a rooflight steel structure by means of a load test
(2014) Applied Mechanics and Materials, 501-504, pp. 592-598. Cited 5 times.
a Department of Structures, VSB - Technical University Ostrava, LudvikaPodeste 1875/17, 708 33 Ostrava-Poruba,
Czech Republic b Department of Structural Mechanics, VSB - Technical University Ostrava, LudvikaPodeste 1875/17, 708 33
Ostrava-Poruba, Czech Republic
Abstract During erection of a rooflight steel structure excessive deformation started appearing in the steel structure designed
for a rooflight. After repairing the load-carrying system it was necessary to check whether the structure was free of
permanent deformations. The situation was consulted with the investor and it was proposed to carry out a load test
which should prove that the real structure was in accordance with the computational model. © (2014) Trans Tech
Publications, Switzerland.
Author Keywords Computational model; Load test; Permanent deformation; Steel structure
Index Keywords Civil engineering, Computational methods, Load testing, Repair, Steel structures; Computational model, Load
carrying, Permanent deformations, Real structure, Roof-light; Deformation
References
Cajka, R.
Soil - structure interaction in case of exceptional mining and flood actions
(2005) Proceedings OfFinal Conference of COST Action C12: Improvement of Buildings' Structural Quality By
New Technologies,
University of Innsbruck, Austria, ISBN 04-1536-609-7
Cajka, R., Manasek, P.
Building Structures in Danger of Flooding
(2005) In Proceedings of IABSE Conference: Role of Structural Engineers Towards Reduction of Poverty, pp.
551-558+8.
New Delhi, India, ISBN 978-3-85748-111-6, WOS: 000245746100072
Cajka, R., Mateckova, P.
Different types of pre-stressed hollow core panels and their fire resistance according to eurocodes
(2010) Journal of Structural Fire Engineering, 1 (4), pp. 243-248+6.
ISSN 20402317, DOI: 10.1260/2040-2317.1.4.243
Cajka, R., Martinec, P.
Structural Failures of Buildings Caused by Volume Changes of Steel Slag
(2011) Transactions of the VSB - Technical University of Ostrava, Civil Engineering Series, 11 (2), pp. 1-9.
DOI: 10.2478/v10160-011-0037-4
Cajka, R., Mateckova, P., Stara, M., Janulikova, M.
Testing of pre-stressed masonry corner for tri-axial stress-strain analysis
(2012) In 3<sup>rd</sup> International Symposium On Life-Cycle Civil Engineering, pp. 1955-1958+4.
IALCCE 2012. Vienna; Austria, ISBN: 978-041562126-7
Janas, P., Krejsa, M., Krejsa, V.
Structural reliability assessment using a direct determined probabilistic calculation
(2009) Proceedings of the 12th International Conference on Civil, Structural and Environmental Engineering
Computing,
DOI: 10.4203/ccp.91.72
Janas, P., Krejsa, M., Krejsa, V.
Using the Direct Determined Fully Probabilistic Method (DDFPM) for determination of failure
(2010) Proceedings of European Safety and Reliability Conference (ESREL 2009): Reliability, Risk and Safety:
Theory and Applications, 1-3, pp. 1467-1474+8.
London: Taylor & Francis Group, ISBN 978-0-415-55509-8. WOS: 000281188500203
Kala, Z.
Geometrically Non-linear Finite Element Reliability Analysis of Steel Plane Frames with Initial Imperfections
(2012) Journal of Civil Engineering and Management, 18 (1), pp. 81-90+10.
ISSN 1392-3730, DOI: 10.3846/13923730.2012.655306
Kala, J., Salajka, V., Hradil, P.
Investigation of eigenvalue problem of water tower construction interacting with fluid
(2012) Journal of Vibroengineering, 14 (3), pp. 1151-1159+9.
ISSN 1392-8716
Kralik, J.
Deterministic and probabilistic analysis of steel frame bracing system efficiency
(2013) Applied Mechanics and Materials, 390, pp. 172-177+6.
ISSN 1660-9336, ISBN 978-303785833-2, 10.4028/www.scientific.net/AMM.390.172
Krejsa, M., Janas, P., Cajka, R.
Using DOProC method in structural reliability assessment
(2013) Applied Mechanics and Materials: Mechatronics and Applied Mechanics II, 300-301, pp. 860-869+10.
Editors: ChingKuo Wang and Jing Guo. Zurich, Switzerland: Trans Tech Publications, ISSN 1660-9336, ISBN
978-303785651-2, 10.4028/www.scientific.net/AMM.300-301.860
Krejsa, M., Janas, P., Yilmaz, I., Marschalko, M., Bouchal, T.
The Use of the Direct Optimized Probabilistic Calculation Method in Design of Bolt Reinforcement for
Underground and Mining Workings
(2013) The Scientific World Journal, 2013, p. 13.
Article ID 267593, 10.1155/2013/267593
Krejsa, M.
Probabilistic reliability assessment of steel structures exposed to fatigue
(2014) Proceedings of Conference ESREL 2013: Safety, Reliability and Risk Analysis: Beyond the Horizon, pp.
2671-2679+9.
Amsterdam, Nederland, 2013, London: Taylor & Francis Group, ISBN 978-1-138-00123-7
Krivy, V., Cajka, R.
Design and Reliability Assessment of Roof Structural Elements Using the New Digital Ground Snow Load Map
of the Czech Republic
(2011) Proceedings of 17th International Conference On Engineering Mechanics 2011, pp. 95-98+4.
ISBN 978-80-87012-33-8, WOS: 000313492700077
Krivy, V., Fabian, L.
Calculation of corrosion losses on weathering steel structures
(2012) Applied Mechanics and Materials, 188, pp. 177-182+6.
ISSN: 16609336, ISBN: 978-303785452-5, 10.4028/www.scientific.net/AMM.188.177
Lokaj, A., Vavrusova, K., Rykalova, E.
Application of laboratory tests results of dowel joints in cement-splinter boards VELOX into the fully
probabilistic methods (SBRA method)
(2012) Applied Mechanics and Materials, 137, pp. 95-99+5.
ISSN: 16609336, ISBN: 978-303785291-0, 10.4028/www.scientific.net/AMM.137.95
Mikolasek, D., Sucharda, O., Brozovsky, J.
Analysis of composite timber-concrete ceiling structure by finite element method
(2013) Applied Mechanics and Materials, 351-352, pp. 254-259+6.
ISSN: 16609336, 10.4028/www.scientific.net/AMM.351-352.254
Naprstek, J., Pospisil, S.
Response types and general stability conditions of linear aero-elastic system with two degrees-of-freedom
(2012) Journal of Wind Engineering and Industrial Aerodynamics, 111, pp. 1-13.
ISSN 0167-6105, DOI: 10.1016/j.jweia.2012.08.002
Pustka, D., Cajka, R., Marek, P., Kalocova, L.
Multi-Components Load Effect Analysis on a Slender Reinforced Concrete Column Using Probabilistic SBRA
Method
(2008) Proceedings of Eleventh East Asia-Pacific Conference On Structural Engineering & Construction -
Building a SustainableEnvironment, pp. 334-335+2.
Taipei, Taiwan, ISBN 978-986-80222-4-9
Sykora, M., Holicky, M., Markova, J.
Verification of existing reinforced concrete bridges using the semi-probabilistic approach
(2013) Engineering Structures, 56, pp. 1419-1426+8.
ISSN 0141-0296, DOI: 10.1016/j.engstruct.2013.07.015
Tesar, A., Melcer, J.
Structural monitoring in advanced bridge engineering
(2008) International Journal For Numerical Methods In Engineering, 74 (11), pp. 1670-1678+9.
ISSN 0029-5981, DOI: 10.1002/nme.2224
Vavrusova, K.
New alternative methods for design of joints and elements of timber structures
(2013) Applied Mechanics and Materials, 351-352, pp. 1710-1713+4.
ISSN: 16609336, ISBN: 978-303785774-8, 10.4028/www.scientific.net/AMM.351-352.1710
Vican, J., Sykora, M.
Numerical analysis of the bridge orthotropic deck time dependent resistance
(2013) Komunikacie, 15 (3), pp. 112-117+6.
ISSN 1335-4205
Sponsors:
Publisher: Trans Tech Publications Ltd
Conference name: 3rd International Conference on Civil Engineering and Transportation, ICCET 2013
Conference date: 14 December 2013 through 15 December 2013
Conference location: Kunming
Conference code: 102766
ISSN: 16609336
ISBN: 9783038350057
DOI: 10.4028/www.scientific.net/AMM.501-504.592
Language of Original Document: English
Abbreviated Source Title: Appl. Mech. Mater.
Document Type: Conference Paper
Source: Scopus
Krejsa, M., Janas, P., Krejsa, V.
ProbCalc - An efficient tool for probabilistic calculations
(2014) Advanced Materials Research, 969, pp. 302-307.
VSB - Technical University Ostrava, Department of Structural Mechanics, Ludvika Podeste 1875/17, 708 33
Ostrava-Poruba, Czech Republic
Abstract The probabilistic methods are used in engineering tasks where a computational model contains random variables.
The new method - the Direct Optimised Probabilistic Calculation ("DOProC") - which is being developed now
seems to be highly efficient in terms of calculation time and accuracy of solution. The computation is purely
numerical and does not use any simulation techniques. The algorithm has been implemented in several software
applications which have been used in probabilistic tasks and probabilistic reliability assessments. © (2014) Trans
Tech Publications, Switzerland.
Author Keywords Anchor; Direct Optimised Probabilistic
Calculation; DOProC; FCProbCalc; HistAn; HistAn2D; HistAn3D; HistOp; Probabilistic
methods; Probability of failure; ProbCalc; Random variable; Reliability assessment
Index Keywords Anchors, Civil engineering, Random variables, Reliability analysis;
DOProC, FCProbCalc, HistAn, HistAn2D, HistAn3D, HistOp, Probabilistic methods, Probability of
failure, ProbCalc, Reliability assessments; Application programs
References
Cajka, R., Krejsa, M.
Measured data processing in civil structure using the DOProC method
(2014) Advanced Materials Research, 859, pp. 114-121.
ISSN: 1022-6680, DOI: 10.4028/www.scientific.net/AMR.859.114
Janas, P., Krejsa, M., Krejsa, V.
Structural Reliability Assessment Using Direct Determined Probabilistic Calculation
(2009) Proceedings of the Twelfth International Conference On Civil, Structural and Environmental
Engineering Computing, p. 20.
CC 2009, Civil-Comp Press, ISBN 978-1-905088-31-7. Elsevier B.V., 2012, ISBN 978-190508830-0, DOI:
10.4203/ccp.91.72
Janas, P., Krejsa, M., Krejsa, V.
Using the Direct Determined Fully Probabilistic Method (DDFPM) for determination of failure
(2010) Proceedings of European Safety and Reliability Conference (ESREL 2009), pp. 1467-1474.
Reliability, Risk and Safety: Theory and Applications, Taylor & Francis Group, ISBN 978-0-415-55509-8,
WOS: 000281188500203
Janas, P., Krejsa, M., Krejsa, V.
Software Package ProbCalc from the Poin of View of a User
(2010) Transactions of the VŠB, 10 (1), pp. 1-11.
Technical University of Ostrava, Civil Engineering Series, ISSN (Online) 1804-4824, ISSN (Print) 1213-1962,
DOI: 10.2478/v10160-010-0010-7
Janas, P., Krejsa, M., Krejsa, V.
Statistical Dependence of Input Variables in DOProC Method
(2012) Transactions of the VŠB, 12 (2), pp. 48-58.
Technical University of Ostrava, Civil Engineering Series, ISSN (Online) 1804-4824, ISSN (Print) 1213-1962,
DOI: 10.2478/v10160-012-0017-3
Kralik, J., Kralik, J.
Probability assessment of analysis of high-rise buildings seismic resistance
(2013) Advanced Materials Research, 712-715, pp. 929-936.
ISSN 1022-6680, DOI: 10.4028/www.scientific.net/AMR.712-715.929
Krejsa, M.
Stochastic Modelling of Fatigue Crack Progression using the DOProC Method
(2012) Proceedings of the 11th International Conference On Computational Structures Technology, p. 18.
Civil-Comp Press, ISBN 978-1-905088-54-6, ISSN 1759-3433, DOI: 10.4203/ccp.99.113
Krejsa, M., Janas, P., Cajka, R.
Using DOProC method in structural reliability assessment
(2013) Applied Mechanics and Materials: Mechatronics and Applied Mechanics II, 300-301, pp. 860-869.
Trans Tech Publications, (10p), ISSN 1660-9336, ISBN 978-303785651-2, DOI:
10.4028/www.scientific.net/AMM.300-301.860
Krejsa, M., Janas, P., Krejsa, V.
Direct Optimized Probabilistic Calculation
(2012) Recent Advances In Systems Science & Mathematical Modelling: Proceedings of the 3rd International
Conference On Mathematical Models For Engineering Science (MMES '12), pp. 216-221.
WSEAS Press, (6p). ISBN 978-1-61804-141-8
Krejsa, M.
The Probabilistic Calculating of Fatigue Crack Propagation Using FCProbCalc Program
(2012) Proceedings of 18th International Conference Engineering Mechanics 2012, pp. 745-754.
Prague, (10 p). ISBN 978-80-86246-39-0
Krejsa, M.
Inspection Based Probabilistic Modeling of Fatigue Crack Progression
(2012) Recent Advances In Mechanical Engineering & Automatic Control: Proceedings of the 3rd European
Conference of Mechanical Engineering (ECME' 12), pp. 104-109.
WSEAS Press, (6 p). ISBN 978-1-61804-142-5
Krejsa, M., Janas, P., Yilmaz, I., Marschalko, M., Bouchal, T.
The Use of the Direct Optimized Probabilistic Calculation Method in Design of Bolt Reinforcement for
Underground and Mining Workings
(2013) The Scientific World Journal, 2013, p. 13.
Article ID 267593, DOI:10.1155/2013/267593
Krejsa, M.
Probabilistic Failure Analysis of Steel Structures Exposed to Fatigue
(2013) Key Engineering Materials, 577-578, pp. 101-104.
(4 p), ISSN 1662-9795, DOI: 10.4028/www.scientific.net/KEM.577-578.101
Krejsa, M.
Probabilistic reliability assessment of steel structures exposed to fatigue
(2013) Proceedings of Conference ESREL 2013, pp. 2671-2679.
Nederland, London: Taylor & Francis Group, (9p), ISBN 978-1-138-00123-7
Krejsa, M., Janas, P., Krejsa, V.
Probabilistic calculation using DOProC method with statistically dependent input variables
(2013) Proceedings of the 11th International Probabilistic Workshop, pp. 203-218.
Brno, (16 p), ISBN 978-80-214-4800-1
Lokaj, A., Vavrusova, K., Rykalova, E.
Application of laboratory tests results of dowel joints in cement-splinter boards VELOX into the fully
probabilistic methods (SBRA method)
(2012) Applied Mechanics and Materials, 137, pp. 95-99.
(5 p). ISSN: 16609336, ISBN: 978-303785291-0, DOI: 10.4028/www.scientific.net/AMM.137.95
Correspondence Address
Krejsa M.; VSB - Technical University Ostrava, Department of Structural Mechanics, Ludvika Podeste 1875/17,
708 33 Ostrava-Poruba, Czech Republic; email: [email protected]
Sponsors:
Publisher: Trans Tech Publications Ltd
Conference name: 2nd International Conference on Structural and Physical Aspects of Civil Engineering, SPACE
2013
Conference date: 27 November 2013 through 29 November 2013
Conference location: High Tatras
Conference code: 106245
ISSN: 10226680
ISBN: 9783038351474
DOI: 10.4028/www.scientific.net/AMR.969.302
Language of Original Document: English
Abbreviated Source Title: Adv. Mater. Res.
Document Type: Conference Paper
Source: Scopus
Yuan, D.
The effects of different prediction parameters on the mining subsidence forecast result
(2014) Disaster Advances, 7 (4), pp. 41-47.
College of Geoscience and Surveying Engineering, CUMTB, Beijing, 100083, China
Abstract Mining subsidence prediction is one of the main contents in mining subsidence science. With the prediction results,
the quantitatively research can be done on the distribution law of strata and ground movement in time and space
effected by the mining which is important to guide the mining practice under the buildings, railways and waters.
This paper analyses and gets the reasons for deviation of the surface movement and deformation result by the
mining subsidence theory and probability integral method. The effects on the prediction result of different
parameters under same and different mining conditions are also analyzed using subsidence prediction and data
processing integration system to draw the corresponding isolines. The preliminary assessment of the parameters
effect is made. It is expected to have some guidance and reference for mining subsidence prediction.
Author Keywords Contour line; Mining subsidence prediction; Predicting parameters
Index Keywords deformation, forecasting method, ground movement, mining, prediction, subsidence
References
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Surface subsidence law caused by underground mining in metal mine and its stoping plan optimization
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Marschalko, M.
Determination of actual limit angles to the surface and their comparison with the empirical values in the upper
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Model test study on the surface subsidence principles by coal seam mining with different dip angles
(2011) Metal mine, 3, pp. 11-15.
Correspondence Address
Yuan D.; College of Geoscience and Surveying Engineering, CUMTB, Beijing, 100083, China; email:
Publisher: Disaster Advances
ISSN: 0974262X
Language of Original Document: English
Abbreviated Source Title: Disaster Adv.
Document Type: Article
Source: Scopus
Krejsa, M., Janas, P., Krejsa, V.
Software application of the DOProC method
(2014) International Journal of Mathematics and Computers in Simulation, 8 (1), pp. 121-126.
VSB - Technical University Ostrava, Department of Structural Mechanics, Ludvika Podeste 1875/17, 708 33
Ostrava - Poruba, Czech Republic
Abstract Various calculation methods based on the theory of probability and statistics are used for designing and assessing
elements and systems in load-carrying structures. Those methods have been becoming very popular recently. Using
the probabilistic method, it is possible to analyze a reliability margin defined in a computational model where at
least some input characters are random. New methods which are being developed now include the Direct
Optimized Probabilistic Method ("DOProC"). This is a purely numerical method which uses no simulation
techniques. Results of the probabilistic tasks are more accurate and, often, more fast to reach. The described
algorithm has already been implemented in several applications which were successfully used at solution of
probabilistic tasks and probabilistic reliability evaluations.
Author Keywords Anchor; Direct optimized probabilistic calculation; DOProC; FCProbCalc; HistAn; HistOp; Probabilistic
methods; Probability of failure; ProbCalc; Random variable; Reliability assessment
References
Cajka, R., Mateckova, P., Stara, M., Mynarzova, L.
Probability Assessment of Compressive Strength as a Basis for Post Tensioned Masonry Testing
(2012) Recent Researchers in Environmental & Geological Sciences, pp. 447-450.
Kos Island, Greece, WSEAS Press, (4 p), ISSN 2227-4359, ISBN 978-1-61804-110-4
Cajka, R.
Accuracy of stress analysis using numerical integration of elastic half-space
(2013) Applied Mechanics and Materials, pp. 1127-1135.
Vol. 300-301, (9 p). ISSN: 16609336, ISBN: 978-303785651-2, DOI: 10. 4028/www. scientific. net/AMM. 300-
301. 1127
Cajka, R., Krejsa, M.
Measured Data Processing in Civil Structure Using the DOProC Method
(2014) Advanced Materials Research, 859, pp. 114-121.
Zurich, Switzerland: Trans Tech Publications, (8 p), ISSN 1662-8985, DOI: 10. 4028/www. scientific.
net/AMR. 859. 114
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Laboratory tests of a typical fatigue prone riveted steel railway bridge structural detail
(2010) Procedia Engineering, 2 (1), pp. 1761-1766.
2010, (6 p). ISSN: 18777058, DOI: 10. 1016/j. proeng. 03. 189
Hradil, P., Kala, J., Salajka, V., Vymlatil, P.
The application of concrete nonlinear model exposed to impact load
(2011) Proceedings of the 13<sup>th</sup> WSEAS International Conference on Automatic Control,
Modelling and Simulation (ACMOS'11), pp. 283-286.
In:, Lanzarote, Canary Islands, (4 p), WSEAS Press, ISBN 978-161804004-6
Janas, P., Krejsa, M., Krejsa, V.
Structural Reliability Assessment Using Direct Determined Probabilistic Calculation
(2012) Proceedings of the Twelfth International Conference on Civil, Structural and Environmental
Engineering Computing: CC 2009, p. 20.
2009, In:, Civil-Comp Press, ISBN 978-1-905088-31-7. Elsevier B.V., ISBN 978-190508830-0, DOI: 10.
4203/ccp. 91. 72
Janas, P., Krejsa, M., Krejsa, V.
Using the Direct Determined Fully Probabilistic Method (DDFPM) for determination of failure
(2010) Proceedings of European Safety and Reliability Conference (ESREL 2009): Reliability, Risk and Safety:
Theory and Applications, 1-3, pp. 1467-1474.
In, London: Taylor & Francis Group, (8 p), ISBN 978-0-415-55509-8, WOS 000281188500203
Janas, P., Krejsa, M., Krejsa, V.
Software Package ProbCalc from the Poin of View of a User
(2010) Transactions of the VŠB-Technical University of Ostrava, Civil Engineering Series, 10 (1), pp. 1-11.
Versita, ISSN 1804-4824, DOI: 10. 2478/v10160-010-0010-7
Janas, P., Snupárek, R., Krejsa, M., Krejsa, V.
Designing of Anchoring Reinforcement in Underground Workings Using DOProC Method
(2010) Transactions of the VŠB-Technical University of Ostrava, Civil Engineering Series, 10 (2), pp. 1-13.
In:, Versita, ISSN 1804-4824, DOI: 10. 2478/v10160-010-0020-5
Janas, P., Krejsa, M., Krejsa, V.
Statistical Dependence of Input Variables in DOProC Method
(2012) Transactions of the VŠB-Technical University of Ostrava, Civil Engineering Series, 12 (2), pp. 48-58.
In:, Versita, (11 p). ISSN 1804-4824. DOI: 10. 2478/v10160-012-0017-3
Kala, Z., Kala, J.
Variance-Based Sensitivity Analysis of Stability Problems of Steel Structures using Shell Finite Elements and
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Publisher: North Atlantic University Union NAUN
ISSN: 19980159
Language of Original Document: English
Abbreviated Source Title: Int. J. Math. Comput. Simul.
Document Type: Article
Source: Scopus
Cajka, R.a , Burkovic, K.b , Buchta, V.a
Foundation slab in interaction with subsoil
(2014) Advanced Materials Research, 838-841, pp. 375-380. Cited 4 times.
a VSB - TU Ostrava, L. Podéště 1875/17, 708 33 Ostrava - Poruba, Czech Republic b ARMING Ltd., Ocelarska 6/338, 703 00 Ostrava - Vítkovice, Czech Republic
Abstract In the paper the experiment results of deformation in foundation slab segment in interaction with subsoil are
presented. Pilot measurement is carried out on original subsoil with characteristics which were tested in
cooperation with geotechnics specialists. Concrete precast slab with square dimensions 500 mm and with thickness
48 mm made of plain concrete is exposed to vertical load. The tests results are compared with bending moments
and deformations analysed according to subsoil models given in Eurocodes using FEM analysis. © (2014) Trans
Tech Publications, Switzerland.
Author Keywords Deformation; FEM analysis; Foundation slab; Soil-structure interaction; Stress
Index Keywords Concretes, Environmental engineering, Finite element method, Soils, Stresses; Concrete
precast, Eurocodes, Exposed to, FEM analysis, Foundation slab, Geotechnics, Plain concrete, Vertical load;
Deformation
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Probability assessment of analysis of high-rise buildings seismic resistance
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Sponsors:
Publisher: Trans Tech Publications
Conference name: 2013 2nd Global Conference on Civil, Structural and Environmental Engineering, GCCSEE
2013
Conference date: 28 September 2013 through 29 September 2013
Conference location: Shenzhen
Conference code: 101775
ISSN: 10226680
ISBN: 9783037859261
DOI: 10.4028/www.scientific.net/AMR.838-841.375
Language of Original Document: English
Abbreviated Source Title: Adv. Mater. Res.
Document Type: Conference Paper
Source: Scopus
Bednarik, M.a , Pauditš, P.b , Ondrášik, R.a
Various techniques for evaluating landslide hazard maps reliability: Bivariate vs. multivariate statistical model
[Rôzne spôsoby hodnotenia úspešnosti máp zosuvného hazardu: bivariačný verzus multivariač ný štatistický
model]
(2014) Acta Geologica Slovaca, 6 (1), pp. 71-84.
a Univerzita Komenského v Bratislave, Prírodovedecká Fakulta, Katedra Inžinierskej Geológie, Mlynská dolina G,
842 15 Bratislava, Slovakia b Štátny Geologický Ústav Dionýza Štúra, Oddelenie Inžinierskej Geológie, Mlynská dolina 1, 817 04 Bratislava,
Slovakia
Abstract Systematic studies of geological hazard and risks were generated by interest from insurance companies during the
20th century. The first studies were linked to individual building structures and later also to landuse and
environmental impact assessment. Data collected were transformed to maps of seismic zonation and landslide
hazard maps. The paper is devoted to landslide hazard map quantification and verification. The landslide hazard
assessment is based on the assumption that landslides will occur in the future under the same conditions as
occurred in the past. In the model area of the Myjava Upland (Western Slovakia) statistical methods - bivariate
statistical analysis and conditional multivariate analysis were applied to assess the landslide hazard. The necessity
to evaluate the informative value of final maps has arisen recently; practically it means to verify them. In the 80-
ties, when the first landslide susceptibility maps were created, they were verified by visual comparison of the
prognostic maps with a map of registered slope deformations. Here in, methods of statistical accuracy and ROC
(Receiver Operating Characteristic) curves are used for evaluation of both statistical models. 285,004 pixels
selected from raster of registered landslides were evaluated and an equal number of pixels randomly selected from
raster of landslide hazard map prepared using bivariate statistical analysis; in the case of conditional multivariate
analysis, there were 285,030 pixels. The results illustrate that, according to most of the methods of statistical
success used to set model performance, both prognostic maps correspond to quality configured statistical models.
This comparison shows that the difference between the accuracy of these two approaches has a value of about 5%
in favour of multivariate statistical analysis. The difference between the statistical methods represents less than two
percent using ROC curves for model verification.
Author Keywords Accuracy statistics methods; Hazard; Landslide hazard maps; Risk; ROC curves
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Stabilitné zhodnotenie zosuvného územia Bojničky na základe elektrickej odporovej tomografie (ERT) a
geodetických GNSS meraní
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Potfaj, M.
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Regionálnych Máp Geologických Faktorov Životného Prostredia Regiónu Myjavská Pahorkatina A Biele
Karpaty,
ŠGÚDŠ Bratislava
Putiška, R., Dostál, I., Mojzeš, A., Gajdoš, V., Rozimant, K., Vojtko, R.
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Publisher: Comenius University
ISSN: 13380044
Language of Original Document: English; Slovak
Abbreviated Source Title: Acta Geol. Slovaca
Document Type: Article
Source: Scopus
Krejsa, M.
Probabilistic reliability assessment of steel structures exposed to fatigue
(2014) Safety, Reliability and Risk Analysis: Beyond the Horizon - Proceedings of the European Safety and
Reliability Conference, ESREL 2013, pp. 2671-2679. Cited 4 times.
VSB, Technical University Ostrava, Czech Republic
Abstract The paper describes methods used for probabilistic assessment of reliability of steel structures and bridges that are
exposed to cyclic loads. Propagation of fatigue cracks from surface and edges is taken into account, the maximum
permitted dimension being of particular attention. The model is based on a linear fracture mechanics. Conditional
probability is the basis when designing a regular system of inspections for the structure. A new method, which is
still under development, has been used for probabilistic modeling of fatigue damage. Direct Optimized
Probabilistic Calculation-DOProC-appears to be a very efficient for the computation of probabilities. DOProC
provides the solution with only a numerical error and an error resulting from input and output quantities
discretizing. © 2014 Taylor & Francis Group, London.
Index Keywords Steel structures; Conditional probabilities, Fatigue cracks, Input and outputs, Linear fracture mechanics, Numerical
errors, Probabilistic assessments, Probabilistic modeling, Probabilistic reliability assessment; Reliability
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Correspondence Address
Krejsa M.; VSB, Technical University OstravaCzech Republic
Sponsors:
Publisher: Taylor and Francis - Balkema
Conference name: European Safety and Reliability Conference, ESREL 2013
Conference date: 29 September 2013 through 2 October 2013
Conference location: Amsterdam
Conference code: 105005
ISBN: 9781138001237
Language of Original Document: English
Abbreviated Source Title: Saf., Reliab. Risk Anal.: Beyond Horiz. - Proc. Eur. Saf. Reliab. Conf., ESREL
Document Type: Article
Source: Scopus
Lamb, R.L.a , Vallett, D.B.b , Akmal, T.a , Baldwin, K.a
A computational modeling of student cognitive processes in science education
(2014) Computers and Education, 79, pp. 116-125.
a Washington State University, United States b University of Nevada Las Vegas, United States
Abstract The purpose of this paper is to explain and document the creation of a computational model in the form of an
Artificial Neural Network (ANN) capable of simulating student cognition. Specifically, the model simulates
students' cognition as they complete activities within a science classroom. This study also seeks to examine the
effects, as evidenced in the ANN, of an intervention designed to develop increased levels of critical thinking
related to science skills. This model is based on the identification of cognitive attributes and integration of two
advanced measurement frameworks: cognitive diagnostics and Item Response Theory. Both frameworks examine
student response patterns, providing initial inputs for the ANN portion of the model. Once initial task response
patterns are identified, they are parameterized and presented to the ANN. The ANN within this study is the
foundational component of a computational model based upon the interaction of multiple, connected, adaptive
processing elements know as cognitive attributes. These cognitive attributes process student responses to cognitive
tasks within science tasks. Using the Student Task and Cognition Model (STAC-M), the study authors simulated a
cognitive training intervention using a randomized control trial design of 100,000 students. Results of the
simulation suggest that it is possible to increase levels of student success using a targeted cognitive attribute
approach and that computational modeling provides a means to test educational theory for future education
research. The paper also discusses limitations of the use of this computational model within education and the
possible future directions for educators and researchers. © 2014 Elsevier Ltd. All rights reserved.
Author Keywords Cognitive processing; Computational modeling; Critical reasoning; Science education; Serious educational
games
Index Keywords Computational methods, Computer simulation, Education computing, Learning systems, Neural networks;
Cognitive processing, Computational model, Critical reasoning, Educational game, Science education; Students
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Correspondence Address
Lamb R.L.; Washington State UniversityUnited States; email: [email protected]
Publisher: Elsevier Ltd
ISSN: 03601315
CODEN: COMED
DOI: 10.1016/j.compedu.2014.07.014
Language of Original Document: English
Abbreviated Source Title: Comput Educ
Document Type: Article
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Anbazhagan, S., Ramesh, V.
Landslide hazard zonation mapping in ghat road section of Kolli hills, India
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Centre for Geoinformatics and Planetary Studies, Department of Geology, Periyar UniversitySalem, Tamil Nadu,
India
Abstract Landslides are the most common natural disaster in hilly terrain which causes changes in landscape and damage to
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map of the study area. The terrain evaluation maps include lithology, structure, slope morphometry, relative relief,
land use and land cover and hydrogeological condition. The LHEF rating scheme and the Total Estimated Hazard
(TEHD) were calculated as per the Bureau of Indian Standard (BIS) guidelines (IS: 14496 (Part-2) 1998) for the
purpose of preparation of Landslide Hazard Zonation (LHZ) map in mountainous terrains. The correction due to
triggering factors such as seismicity, rainfall and anthropogenic activities were also incorporated with Total
Estimated Hazard to get final corrected TEHD. The landslide hazard zonation map was classified as the high,
moderate and low hazard zones along the ghat road section based on corrected TEHD.
Author Keywords Bureau of Indian Standard (BIS); Kolli Hills; Landslide hazard zonation (LHZ); LHEF rating
scheme; Mountainous terrain; TEHD
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Correspondence Address
Anbazhagan S.; Centre for Geoinformatics and Planetary Studies, Department of Geology, Periyar UniversityIndia
Publisher: Science Press
ISSN: 16726316
DOI: 10.1007/s11629-012-2618-9
Language of Original Document: English
Abbreviated Source Title: J. Mt. Sci.
Document Type: Article
Source: Scopus
Pradhan, B., Abokharima, M.H., Jebur, M.N., Tehrany, M.S.
Land subsidence susceptibility mapping at Kinta Valley (Malaysia) using the evidential belief function model in
GIS
(2014) Natural Hazards, 73 (2), pp. 1019-1042. Cited 1 time.
Department of Civil Engineering, Geospatial Information Science Research Center (GISRC), University Putra
Malaysia, 43400 UPM, Serdang, Selangor, Malaysia
Abstract Land subsidence is one of the frequent geological hazards worldwide. Urban areas and agricultural industries are
the entities most affected by the consequences of land subsidence. The main objective of this study was to estimate
the land subsidence (sinkhole) hazards at the Kinta Valley of Perak, Malaysia, using geographic information
system and remote sensing techniques. To start, land subsidence locations were observed by surveying
measurements using GPS and using the tabular data, which were produced as coordinates of each sinkhole
incident. Various land subsidence conditioning factors were used such as altitude, slope, aspect, lithology, distance
from the fault, distance from the river, normalized difference vegetation index, soil type, stream power index,
topographic wetness index, and land use/cover. In this article, a data-driven technique of an evidential belief
function (EBF), which is in the category of multivariate statistical analysis, was used to map the land subsidence-
prone areas. The frequency ratio (FR) was performed as an efficient bivariate statistical analysis method in order
compare it with the acquired results from the EBF analysis. The probability maps were acquired and the results of
the analysis validated by the area under the (ROC) curve using the testing land subsidence locations. The results
indicated that the FR model could produce a 71.16 % prediction rate, while the EBF showed better prediction
accuracy with a rate of 73.63 %. Furthermore, the success rate was measured and accuracies of 75.30 and 79.45 %
achieved for FR and EBF, respectively. These results can produce an understanding of the nature of land
subsidence as well as promulgate public awareness of such geo-hazards to decrease human and economic losses. ©
2014 Springer Science+Business Media Dordrecht.
Author Keywords Evidential belief function; Frequency ratio model; GIS; Kinta Valley, Malaysia; Land subsidence; Remote
sensing
Index Keywords accuracy assessment, efficiency measurement, frequency analysis, GIS, GPS, hazard assessment, mapping
method, remote sensing, sinkhole, subsidence; Kinta, Malaysia, Perak, West Malaysia
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Correspondence Address
Pradhan B.; Department of Civil Engineering, Geospatial Information Science Research Center (GISRC),
University Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia; email: [email protected]
Publisher: Kluwer Academic Publishers
ISSN: 0921030X
DOI: 10.1007/s11069-014-1128-1
Language of Original Document: English
Abbreviated Source Title: Nat. Hazards
Document Type: Article
Source: Scopus
Pourghasemi, H.R.a , Moradi, H.R.a , Fatemi Aghda, S.M.b , Gokceoglu, C.c , Pradhan, B.d
GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation
models (North of Tehran, Iran)
(2014) Arabian Journal of Geosciences, 7 (5), pp. 1857-1878. Cited 3 times.
a Department of Watershed Management Engineering, College of Natural Resources and Marine Sciences, Tarbiat
Modares University (TMU), Noor, Mazandaran, Iran b Department of Engineering Geology, Tarbiat Moallem University, Tehran, Iran c Applied Geology Division, Department of Geological Engineering, Hacettepe University, Ankara, Turkey d Department of Civil Engineering, University Putra Malaysia, UPM 43400 Serdang, Selangor, Malaysia
Abstract The aim of this study is to produce landslide susceptibility mapping by probabilistic likelihood ratio (PLR) and
spatial multi-criteria evaluation (SMCE) models based on geographic information system (GIS) in the north of
Tehran metropolitan, Iran. The landslide locations in the study area were identified by interpretation of aerial
photographs, satellite images, and field surveys. In order to generate the necessary factors for the SMCE approach,
remote sensing and GIS integrated techniques were applied in the study area. Conditioning factors such as slope
degree, slope aspect, altitude, plan curvature, profile curvature, surface area ratio, topographic position index,
topographic wetness index, stream power index, slope length, lithology, land use, normalized difference vegetation
index, distance from faults, distance from rivers, distance from roads, and drainage density are used for landslide
susceptibility mapping. Of 528 landslide locations, 70 % were used in landslide susceptibility mapping, and the
remaining 30 % were used for validation of the maps. Using the above conditioning factors, landslide susceptibility
was calculated using SMCE and PLR models, and the results were plotted in ILWIS-GIS. Finally, the two
landslide susceptibility maps were validated using receiver operating characteristic curves and seed cell area index
methods. The validation results showed that area under the curve for SMCE and PLR models is 76.16 and 80.98 %,
respectively. The results obtained in this study also showed that the probabilistic likelihood ratio model performed
slightly better than the spatial multi-criteria evaluation. These landslide susceptibility maps can be used for
preliminary land use planning and hazard mitigation purpose. © 2013 Saudi Society for Geosciences.
Author Keywords Frequency ratio; GIS; Landslide susceptibility; Spatial multi-criteria evaluation; Tehran metropolitan
Index Keywords aerial photography, GIS, landslide, lithology, mapping method, metropolitan area, numerical model, satellite
imagery, slope dynamics; Iran, Tehran [Iran]
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Correspondence Address
Moradi H. R.; Department of Watershed Management Engineering, College of Natural Resources and Marine
Sciences, Tarbiat Modares University (TMU), Noor, Mazandaran, Iran; email: [email protected]
Publisher: Springer Verlag
ISSN: 18667511
DOI: 10.1007/s12517-012-0825-x
Language of Original Document: English
Abbreviated Source Title: Arab. J. Geosci.
Document Type: Article
Source: Scopus
Drusa, M., Cheben, V., Proovnikova, P.
Functionality of TDR piezometers and inclinometers for monitoring of slope deformations
(2013) International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology
Management, SGEM, 2, pp. 157-164.
University of Zilina, Slovakia
Abstract Slope deformations endangered many roads and railway lines, and houses. Since last 20 years frequency of heavy
rainfall, floods and caused slope deformation rose significantly. Therefore, our team implemented TDR (Time
Domain Reflectometry) technology not only for inclinometric measurement but also as efficient automatic
piezometers. TDR technology thanks to its material, mechanical and electrical properties were chosen for
application in water level measurement as the most acting negative factor of slope stability. Today new results and
experiences, Drusa, Chebeň, (2012) also implemented in certain European conditions of landslides - Corsini et al.
(2008), Singer et al., (2010) must be calibrated through the time. © SGEM2013 All Rights Reserved by the
International Multidisciplinary Scientific GeoConference SGEM.
Index Keywords Heavy rainfall, Mechanical and electrical properties, New results, Railway line, Slope deformation, Tdr (time
domain reflectometry); Electric properties, Exhibitions, Slope protection, Water levels; Deformation
References
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Geotechnical monitoring of road embankment in landslide area by Time Domain Reflectometry Technology
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Implementation of TDR Technology for Monitoring of Negative Factors of Slope Deformations
(2012) Proceedings of SGEM 2012, 2, pp. 143-150.
ISSN 1314-2704, DOI: 10.5593/sgem2012
Kempa, T., Marschalko, M., Yilmaz, I., Lacková, E., Kubečka, K., Stalmachová, B., Bouchal, T., Bendová, M.
In-situ remediation of the contaminated soils in Ostrava city (Czech Republic) by steam curing/vapor
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28 February, ISSN 0013-7952
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THE ROLE OF ENGINEERING-GEOLOGICAL ZONES IN FOUNDATION ENGINEERING
(2012) Proceedings of SGEM 2012, 2, pp. 339-346.
ISSN 1314-2704, DOI: 10.5593/sgem
Marschalko, M.M., Bednarik, M., Yilmaz, I., Bouchal, T., Kubecka, K.
(2011) Bulletin of Engineering Geology and The Environments,
Evaluation of subsidence due to underground coal mining: an example from the Czech Republic., DOI:
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PhD Thesis, Technische Universität München, Munich, Germany
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railway route in Sivas (Turkey)
(2012) Bulletin of Engineering Geology and The Environment,
DOI: 10.1007/s10064-011-0384-5
Correspondence Address
University of ZilinaSlovakia
Conference name: 13th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2013
Conference date: 16 June 2013 through 22 June 2013
Conference location: Albena
Conference code: 101477
ISSN: 13142704
ISBN: 9789549181876
DOI: 10.5593/SGEM2013/BA1.V2/S02.021
Language of Original Document: English
Abbreviated Source Title: Int. Multidisciplinary Sci. Geoconf. Surveying Geology Mining Ecology Manage.,
SGEM
Document Type: Conference Paper
Source: Scopus
Lahuta, H., Korinek, R., Hrubesova, E., Duris, L.
Stability analysis of the large scale dump in the Czech Republic
(2013) International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology
Management, SGEM, 2, pp. 371-378. Cited 1 time.
Technical University of Mining and Metallurgy, Technical University of Ostrava, Czech Republic
Abstract This paper deals with current issues of behavior of the internal large scale dump Bílina in the North Bohemia in the
Czech Republic. This dump belongs to the largest and highest mine dumps in the world (the planned final height is
about 220 m). There are not much experience with the behavior of this size dump body in Europe and in the world
also - among this large dump includes for example the dump Hambach in Germany and several dumps in Poland
and China. The topicality of the issue is given by the necessity to ensure the stability and security of the status quo,
as well as forecasting the development of behavior in the future and setting data for risk analysis. Complexity of
dump bodies behavior resulted from the specificity of different materials dumps, overall inhomogeneity in the
horizontal and vertical direction, complex hydrogeology, manifestations of so-called dual porosity and usually a
large mass of dump. Reliable verification of the material behavior respecting their distinctive rheological
dependence determines the reliability and explanatory power of numerical models. Paper presents the
characteristics of internal dump Bílina, characteristics of the materials forming the body dumps, the results of
numerical modeling of internal stability of the dump Bílina and analysis of the results. © SGEM2013 All Rights
Reserved by the International Multidisciplinary Scientific GeoConference SGEM.
Author Keywords High dump; Numerical modeling; Stability analysis
Index Keywords Czech Republic, Explanatory power, High dumps, Inhomogeneities, Internal stability, Material behavior, Stability
analysis, Vertical direction; Exhibitions, Groundwater, Hydrogeology; Numerical models
References
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Stability analysis of the new proposal the slopes LibousII-north by finite element method
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Sofia, Jun, ISSN 1314-2704. DOI: 10.5593/sgem2012
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Sofia, Jun, ISBN 978-954-91818-1-4
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Experience with mathematical modeling in program plaxis: Design and assessment of retaining walls
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International Scientific Conference - SGEM, 17-23, pp. 87-94.
Sofia, Jun, ISSN 1314-2704. DOI: 10.5593/sgem2012
Libus, J., Horák, L.
(2005) Souhrn Geotechnických Informací O Problematice Stability Svahů Lomu a Výsypek Pro Zpracování
POPD,
GEOTEC - GS Praha
Correspondence Address
Technical University of Mining and Metallurgy, Technical University of OstravaCzech Republic
Conference name: 13th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2013
Conference date: 16 June 2013 through 22 June 2013
Conference location: Albena
Conference code: 101477
ISSN: 13142704
ISBN: 9789549181876
DOI: 10.5593/SGEM2013/BA1.V2/S02.049
Language of Original Document: English
Abbreviated Source Title: Int. Multidisciplinary Sci. Geoconf. Surveying Geology Mining Ecology Manage.,
SGEM
Document Type: Conference Paper
Source: Scopus
Bouchal, T.a , Dlabaja, M.b , Zavada, J.a , Nadkanska, H.a , Bouchalova, M.a
The use of waste materials for reclamation produciton and soil backfill
(2013) International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology
Management, SGEM, 1, pp. 1079-1084.
a VSB-Technical University of Ostrava, Czech Republic b Ecocoal, s.r.o. Ostrava, Czech Republic
Abstract The industrial production produces large amounts of secondary raw materials which are unusable for primary
production and it is necessary to find ways to use them. This article focuses on the design and secondary raw
materials usage from wastewater which occurs while arising from pulp using by-products and excavation of soils.
Here is also described semi-mobile unit provides by ourselves which enables the production of certified
reclamation mixtures. © SGEM2013 All Rights Reserved by the International Multidisciplinary Scientific
GeoConference SGEM.
Author Keywords Backfilling; Pulp; Reclamation; Secondary raw materials
Index Keywords Backfilling, Industrial production, Large amounts, Primary production, Secondary Raw Materials, Soil backfill;
Exhibitions, Land reclamation, Pulp; Reclamation; Exhibitions, Pulps, Raw Materials, Reclamation
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Evaluation of subsidence due to underground coal mining: An example from the Czech Republic
(2012) Bulletin of Engineering Geology and The Environment, 71 (1), pp. 105-111.
Marschalko, M., Yilmaz, I., Kubecka, K.
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Region (Czech republic)
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Kubeckova, D., Kubecka, K., Penaz, T.
The Relation of the Surface Geological Strukture and Floodplains as Important Criterion for Foundation
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The Role of Engineering - Geological Zones in Foundation Engineering
(2012) 12th International Multidisciplinary Scientific GeoConference SGEM 2012, 2, pp. 339-346.
Correspondence Address
VSB-Technical University of OstravaCzech Republic
Conference name: 13th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2013
Conference date: 16 June 2013 through 22 June 2013
Conference location: Albena
Conference code: 102053
ISSN: 13142704
ISBN: 9786197105049
Language of Original Document: English
Abbreviated Source Title: Int. Multidisciplinary Sci. Geoconf. Surveying Geology Mining Ecology Manage.,
SGEM
Document Type: Conference Paper
Source: Scopus
Tornyai, R., Dunčko, M.
Using Bivariate and multivariate analysis to assess landslide hazard in Kysuce region (Western Carpathians)
[Použitie bivariačnej a multivariačnej analýzy na hodnotenie zosuvného hazardu Kysuckého regiónu (Západné
Karpaty)]
(2013) Acta Geologica Slovaca, 5 (2), pp. 179-193.
Katedra Inžinierskej Geológie, Prírodovedecká Fakulta, Univerzita Komenského V Bratislave, Mlynská Dolina G,
842 15 Bratislava, Slovakia
Abstract The study was realized in the Western Carpathians, in northern part of Slovakia, in Kysuce region. The main
objective is to assess landslide hazard in the region, using a quantitative evaluation. For assessment two most used
statistical analyzes had been applied: bivariate using the weights of input parameters and multivariate conditional
analysis. In paper nine input parameters are evaluated which are presented within statistical processing in the form
of parametric maps. Statistical evaluation was executed in environment of GRASS GIS. The output of this study
are two prognostic landslide hazard maps constructed using the methods mentioned above. The results showed that
the majority of the assessed area falls within the medium to very high degree of landslide hazard. © Univerzita
Komenského v Bratislave (2009-2014).
Author Keywords Bivariate analysis; Grass gis; Kysuce region; Landslide hazard assessment; Multivariate conditional
analysis; Západné karpaty
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Correspondence Address
Tornyai R.; Katedra Inžinierskej Geológie, Prírodovedecká Fakulta, Univerzita Komenského V Bratislave,
Mlynská Dolina G, 842 15 Bratislava, Slovakia; email: [email protected]
ISSN: 13380044
Language of Original Document: Slovak
Abbreviated Source Title: Acta Geol. Slovaca
Document Type: Article
Source: Scopus
Capitani, M., Ribolini, A., Bini, M.
The slope aspect: A predisposing factor for landsliding?
(2013) Comptes Rendus - Geoscience, 345 (11-12), pp. 427-438.
Department of Earth Sciences, University of Pisa, 53, Via S. Maria, 56126 Pisa, Italy
Abstract The influence of slope aspect on the distribution of landslides was studied in the Milia and Roglio basins in
Tuscany, Italy. For each basin, the new Tuscany region landslide inventory that was initiated in 2010 was used.
The landslides were split into separate datasets based on their prevailing movement typology. To assess the results
that were obtained from the different slope aspect values, maps of the lithology, slope angle, distances to streams,
and distances to tectonic lineaments were included in the bivariate statistical analysis as comparison terms. For
each basin, all of the geo-environmental factor maps were compared with the different landslide typologies with
GIS software. Pearson's Chi2 (χ2) coefficient was used to test the degree of spatial association between each
predictor variable and landslide type. In addition, Cramer's V test was used to quantify the strength of the degree of
association. Next, a conditional analysis was applied to all of the possible combinations that occurred between the
slope aspect and other landslide-predisposing factors. Overall, the slope aspect significantly affected the
distribution of superficial landslide types, but apparently not that of other landslide types. © 2013 Académie des
sciences.
Author Keywords Bivariate and multifactor statistical analysis; Central Italy; Landslide susceptibility; Slope aspect
Index Keywords environmental factor, GIS, landslide, multivariate analysis, slope angle, software, typology; Italy, Tuscany
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Correspondence Address
Capitani M.; Department of Earth Sciences, University of Pisa, 53, Via S. Maria, 56126 Pisa, Italy; email:
ISSN: 16310713
CODEN: CRGOA
DOI: 10.1016/j.crte.2013.11.002
Language of Original Document: English
Abbreviated Source Title: C. R. Geosci.
Document Type: Article
Source: Scopus
Xu, C.a , Xu, X.a , Yao, Q.b , Wang, Y.c
GIS-based bivariate statistical modelling for earthquake-triggered landslides susceptibility mapping related to the
2008 Wenchuan earthquake, China
(2013) Quarterly Journal of Engineering Geology and Hydrogeology, 46 (2), pp. 221-236. Cited 14 times.
a Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration,
Qijiahuozi, Deshengmenwai, P.O. Box 9803, Beijing 100029, China b China Earthquake Networks Center, Beijing 100045, China c School of Urban and Environmental Sciences, Northeast Normal University, Changchun, Jilin 130024, China
Abstract The main purpose of this research is to evaluate the modelling capability and predictive power of a bivariate
statistical method for earthquake-triggered landslide susceptibility mapping. A weight index (Wi) model was
developed for the 2008 Wenchuan earthquake region in Sichuan Province, China, using a wide range of optical
remote sensing data, and carried out on the basis of a geographic information system (GIS) platform. The 2008
Wenchuan earthquake triggered 196007 landslides, with a total area of 1150.43 km2, in an approximately oblong
area around the Yingxiu-Beichuan coseismic surface fault-rupture (the Yingxiu-Beichuan fault). The landslides of
the study area were mapped using visual interpretation of high-resolution satellite images and aerial photographs,
both pre- and post-earth-quake, and checked in the field at various locations. As a consequence, a nearly complete
inventory of landslides triggered by the Wenchuan earthquake was constructed. Topographic and geological data
and earthquake-related information were collected, processed and constructed into a spatial database using GIS and
image processing technologies. A total of 10 controlling parameters associated with the earthquake-triggered
landslides were selected, including elevation, slope angle, slope aspect, slope curvature, slope position, lithology,
seismic intensity, peak ground acceleration (PGA), distance from the Yingxiu-Beichuan fault, and distance along
this fault. To assist with the development of the model, the complete dataset of 196007 landslides was randomly
partitioned into two subsets; a training data-set, which contains 70% of the data (137204 landslides, with a total
area of 809.96 km2), and a testing dataset accounting for 30% of the data (58803 landslides, with a total area of
340.47 km2). A landslide susceptibility index map was generated using the training dataset, the 10 impact factors,
and the Wi model. In addition, for a conditionally dependent factor analysis, seven other factor-combination cases
were also used to construct landslide susceptibility index maps. Finally, these eight landslide suscep-tibility maps
were compared with the training data and testing data to obtain model capability (success rate) and predictive
power (predictive rate) information. The validation results show that the success and predictive rates of the Wi
modelling exceeded 90% for the approaches that include the use of seismic factors. The final landslide
susceptibility map can be used to identify and delineate unstable suscepti-bility-prone areas, and help planners to
choose favourable locations for development schemes, such as infrastructure, construction and environmental
protection schemes. The generic component of this research would allow application in other regions affected by
high-intensity earthquakes and unstable terrain covering very large areas. © 2013 The Geological Society of
London.
Index Keywords 2008 wenchuan earthquakes, Earthquake-triggered landslides, High resolution satellite images, Image processing
technology, Landslide susceptibility, Optical remote sensing data, Peak ground acceleration, Susceptibility
mapping; Faulting, Geographic information systems, Image processing, Landslides, Lithology, Maps, Optical data
processing, Statistical tests; Earthquakes; aerial photography, GIS, hazard
assessment, landslide, mapping, numerical model, remote sensing, satellite imagery, Sichuan earthquake
2008, statistical analysis; China, Sichuan
Funding Details
41202235, NSF, National Science Foundation
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Correspondence Address
Xu C.; Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration,
Qijiahuozi, Deshengmenwai, P.O. Box 9803, Beijing 100029, China; email: [email protected]
ISSN: 14709236
CODEN: QJEGB
DOI: 10.1144/qjegh2012-006
Language of Original Document: English
Abbreviated Source Title: Q. J. Eng. Geol. Hydrogeol.
Document Type: Article
Source: Scopus
He, K.a , Jia, Y.a , Wang, B.b , Wang, R.c , Luo, H.a b
Comprehensive fuzzy evaluation model and evaluation of the karst collapse susceptibility in Zaozhuang Region,
China
(2013) Natural Hazards, 68 (2), pp. 613-629. Cited 2 times.
a Department of Civil Engineering, Qingdao Technological University, No. 11 Fushun Road, Qingdao, 266033
Shandong, China b Shijiazhuang University of Economics, No. 136 Huaian East Road, Shijiazhuang, 050031 Hubei, China c Shandong Building Materials Geological Exploration Center of SINOMA, Jinan, 250000, China
Abstract Karst collapses in Zaozhuang area are the typical karst collapses induced by groundwater over-pumping in north
China, which lead to severe economic loss and negative societal influence. Based on the comprehensive analysis of
all natural influencing factors and human influencing factors associated with karst collapse in the Zaozhuang Shili
Spring Area, China, this paper establishes karst collapse susceptibility evaluation model by means of fuzzy
mathematic method, in which the Quantitative theory method was firstly applied in determination of the factor
weights. The karst collapse susceptibility evaluation model with 14 evaluation indicators can be effectively used
for quantitative evaluation on the karst collapse susceptibility. So, an analysis and evaluation on the karst collapse
susceptibility of Zaozhuang Shili Spring Area is completed by means of karst collapse susceptibility evaluation
model. The karst collapse area of Zaozhuang region is divided into very high susceptibility area, high susceptibility
area, medium susceptibility area and low susceptibility area, which account for about 6.3, 5.2, 10.4 and 78.1 % of
the total karst area and the karst collapse susceptibility evaluation map of Zaozhuang Shili Spring Area is
completed. The results above will be helpful for the strategic planning and decision-making processes associated
with exploitation of karst water resources and with prevention and control of karst collapse hazards of this region.
© 2013 Springer Science+Business Media Dordrecht.
Author Keywords China; Evaluation model; Groundwater over-pumping; Karst collapse susceptibility
Index Keywords collapse structure, fuzzy mathematics, groundwater Abstraction, hazard assessment, hazard
management, karst, mathematical analysis, model test, numerical model, planning method, pumping, strategic
approach; China, Shandong, Zaozhuang
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Correspondence Address
He K.; Department of Civil Engineering, Qingdao Technological University, No. 11 Fushun Road, Qingdao,
266033 Shandong, China; email: [email protected]
ISSN: 0921030X
DOI: 10.1007/s11069-013-0653-7
Language of Original Document: English
Abbreviated Source Title: Nat. Hazards
Document Type: Article
Source: Scopus
Tavares, I.a , Borges, J.b , Mendes, M.J.G.C.c , Botto, M.A.a
Assessment of data-driven modeling strategies for water delivery canals
(2013) Neural Computing and Applications, 23 (3-4), pp. 625-633.
a IDMEC/Instituto Superior Técnico, Technical University of Lisbon, Av. Rovisco Pais, 1049-001 Lisboa, Portugal b Academia Militar, Portuguese Military Academy, Rua Gomes Freire, 1169-203 Lisboa, Portugal c Instituto Superior de Engenharia de Lisboa, Polytechnic Institute of Lisbon, Rua Conselheiro Emídio Navarro 1,
1959-007 Lisboa, Portugal
Abstract The aim of this paper is to develop models for experimental open-channel water delivery systems and assess the
use of three data-driven modeling tools toward that end. Water delivery canals are nonlinear dynamical systems
and thus should be modeled to meet given operational requirements while capturing all relevant dynamics,
including transport delays. Typically, the derivation of first principle models for open-channel systems is based on
the use of Saint-Venant equations for shallow water, which is a time-consuming task and demands for specific
expertise. The present paper proposes and assesses the use of three data-driven modeling tools: artificial neural
networks, composite local linear models and fuzzy systems. The canal from Hydraulics and Canal Control Nucleus
(Évora University, Portugal) will be used as a benchmark: The models are identified using data collected from the
experimental facility, and then their performances are assessed based on suitable validation criterion. The
performance of all models is compared among each other and against the experimental data to show the
effectiveness of such tools to capture all significant dynamics within the canal system and, therefore, provide
accurate nonlinear models that can be used for simulation or control. The models are available upon request to the
authors. © 2013 Springer-Verlag London.
Author Keywords Artificial neural networks; Composite local linear models; Fuzzy systems; Nonlinear modeling; Open-channel
water delivery systems
Index Keywords Experimental facilities, First principle models, Local linear models, Non-linear model, Operational
requirements, Saint Venant equation, Time-consuming tasks, Water delivery systems; Computer simulation, Fuzzy
systems, Hydraulic structures, Neural networks, Nonlinear dynamical systems, Tools, Water supply; Canals
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Correspondence Address
Borges J.; Academia Militar, Portuguese Military Academy, Rua Gomes Freire, 1169-203 Lisboa, Portugal; email:
ISSN: 09410643
DOI: 10.1007/s00521-013-1417-8
Language of Original Document: English
Abbreviated Source Title: Neural Comput. Appl.
Document Type: Article
Source: Scopus
Xu, C.a b , Xu, X.a , Dai, F.b , Wu, Z.c , He, H.a , Shi, F.a , Wu, X.a , Xu, S.d
Application of an incomplete landslide inventory, logistic regression model and its validation for landslide
susceptibility mapping related to the May 12, 2008 Wenchuan earthquake of China
(2013) Natural Hazards, 68 (2), pp. 883-900. Cited 7 times.
a Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration, P.O.
Box 9803, Beijing, 100029, China b Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China c Langfang Branch of PetroChina, Research Institute of Petroleum Exploration and Development, Langfang,
065007, China d China Institute of Geo-Environmental Monitoring, Beijing, 100081, China
Abstract The main purpose of this paper is to present the use of multi-resource remote sensing data, an incomplete landslide
inventory, GIS technique and logistic regression model for landslide susceptibility mapping related to the May 12,
2008 Wenchuan earthquake of China. Landslide location polygons were delineated from visual interpretation of
aerial photographs, satellite images in high resolutions, and verified by selecting field investigations. Eight factors,
including slope angle, slope aspect, elevation, distance from drainages, distance from roads, distance from main
faults, seismic intensity and lithology were selected as controlling factors for earthquake-triggered landslide
susceptibility mapping. Qualitative susceptibility analyses were carried out using the map overlaying techniques in
GIS platform. The validation result showed a success rate of 82.751 % between the susceptibility probability index
map and the location of the initial landslide inventory. The predictive rate of 86.930 % was obtained by comparing
the additional landslide polygons and the landslide susceptibility probability index map. Both the success rate and
the predictive rate show sufficient agreement between the landslide susceptibility map and the existing landslide
data, and good predictive power for spatial prediction of the earthquake-triggered landslides. © 2013 Springer
Science+Business Media Dordrecht.
Author Keywords Landslide susceptibility mapping; Landslides; Logistic regression; Predictive rate; Success rate; The 2008
Wenchuan earthquake
Index Keywords aerial photograph, earthquake intensity, fault zone, GIS, hazard
assessment, inventory, landslide, lithology, logistics, mapping, model test, model validation, regression
analysis, remote sensing, satellite imagery, Sichuan earthquake 2008, trigger mechanism; China
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Correspondence Address
Xu C.; Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration,
P.O. Box 9803, Beijing, 100029, China; email: [email protected]
ISSN: 0921030X
DOI: 10.1007/s11069-013-0661-7
Language of Original Document: English
Abbreviated Source Title: Nat. Hazards
Document Type: Article
Source: Scopus
Hudecek, V.a , Zapletal, P.a , Stoniš, M.b , Sojka, R.b
Results from dealing with rock and gas outburst prevention in the czech republic
(2013) Archives of Mining Sciences, 58 (3), pp. 779-787. Cited 1 time.
a VŠB - Technical University of Ostrava, 17. Listopadu 15, 708 33, Czech Republic b Green Gas Dpb, Rudé Armády 637, 739 21 Paskov, Czech Republic
Abstract In the Czech Republic, the prevention of rock and gas outbursts is carried out in the course of driving mine
workings in seams and in sandstone and conglomerate beds classified into a category with the highest degree of
rock and gas outburst hazard. It is a case of active methods that aim at prevention of rock and gas outbursts by
creating a protection zone in front of and in sides of mine workings being driven and passive methods that mitigate
the effects of outbursts (Hudecek et al., 2009, 2010). In this article, authors present recommendations and proposals
for changes in rock and gas outburst prevention. These proposed changes should reflect in increased efficiency in
coping with this anomalous geomechanical events.
Author Keywords Boreholes; Coal; Gas mixture; Gas pressure; Outburst prevention
References
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Hudeček, V., Stoniš, M.
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Correspondence Address
VŠB - Technical University of Ostrava, 17. Listopadu 15, 708 33, Czech Republic
ISSN: 08607001
DOI: 10.2478/amsc-2013-0054
Language of Original Document: English
Abbreviated Source Title: Arch. Min. Sci.
Document Type: Article
Source: Scopus
Nekouei, M., Ahangari, K.
Modified stability charts for rock slopes based on the hoek-brown failure criterion
(2013) Archives of Mining Sciences, 58 (3), pp. 747-766.
Department Of Mining Engineering, Science And Research Branch, Islamic Azad University, Tehran, Iran
Abstract Only an article rendered by Lia et al. in 2008 has represented charts based on Hoek-Brown criterion for rock
slopes, however, these charts are not precise and efficient. Because of this problem, a modification is suggested for
the mentioned charts in this study. The new charts are calculated according to four methods. Among the methods,
one relates to fin ite element method using Phase2 software. The other three methods are Janbu, Bishop and
Fellenius that belong to lim it equilibrium method by using Slide software. For each slope angle, the method
having high correlation coefficient is selected as the best one. Then, final charts are rendered according to the
selected method and its specific equations. Among forty equations, twenty-five ones or 62.5% relate to numerical
method and Phase2 software, six ones or 15% belong to Fellenius limit equilibrium, six ones or 15% relate to
Bishop limit equilibrium, and three ones or 7.5% belong to Janbu limit equilibrium. In order to validate new charts,
slope stability analysis is carried out for several sections of Chadormalu iron ore open pit mine, Iran. The error
percentage of new charts in limit equilibrium method using Slide software and in Bishop method for slopes of
Chadormalu iron ore mine are rendered and compared. The charts on a basis of Hoek-Brown failure criterion for
rock slopes show less than ±4% error. This indicates that these charts are appropriate tools and their safety factor is
optimal for rock slopes.
Author Keywords Hoek-Brown criterion; Rock slopes; Stability charts
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Correspondence Address
Ahangari K.; Department Of Mining Engineering, Science And Research Branch, Islamic Azad University,
Tehran, Iran; email: [email protected]
ISSN: 08607001
DOI: 10.2478/amsc-2013-0052
Language of Original Document: English
Abbreviated Source Title: Arch. Min. Sci.
Document Type: Article
Source: Scopus
Zare, M.a , Pourghasemi, H.R.b , Vafakhah, M.c , Pradhan, B.d e
Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: A comparison
between multilayer perceptron (MLP) and radial basic function (RBF) algorithms
(2013) Arabian Journal of Geosciences, 6 (8), pp. 2873-2888. Cited 8 times.
a Watershed Management Engineering, College of Natural Resources, Tehran University, Tehran, Iran b Watershed Management Engineering, College of Natural Resources and Marine Sciences, Tarbiat Modares
University (TMU), Mazandaran, Iran c Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University (TMU), Mazandaran, Iran d Institute of Advanced Technology, Spatial and Numerical Modeling Laboratory, University Putra Malaysia
(UPM), 43400 Serdang, Selangor Darul Ehsan, Malaysia
e Faculty of Engineering, Department of Civil Engineering, Spatial and Numerical Modeling Research Group,
University Putra Malaysia (UPM), 43400 Serdang, Selangor Darul Ehsan, Malaysia
Abstract Landslide susceptibility and hazard assessments are the most important steps in landslide risk mapping. The main
objective of this study was to investigate and compare the results of two artificial neural network (ANN)
algorithms, i.e., multilayer perceptron (MLP) and radial basic function (RBF) for spatial prediction of landslide
susceptibility in Vaz Watershed, Iran. At first, landslide locations were identified by aerial photographs and field
surveys, and a total of 136 landside locations were constructed from various sources. Then the landslide inventory
map was randomly split into a training dataset 70 % (95 landslide locations) for training the ANN model and the
remaining 30 % (41 landslides locations) was used for validation purpose. Nine landslide conditioning factors such
as slope, slope aspect, altitude, land use, lithology, distance from rivers, distance from roads, distance from faults,
and rainfall were constructed in geographical information system. In this study, both MLP and RBF algorithms
were used in artificial neural network model. The results showed that MLP with Broyden-Fletcher-Goldfarb-
Shanno learning algorithm is more efficient than RBF in landslide susceptibility mapping for the study area.
Finally the landslide susceptibility maps were validated using the validation data (i.e., 30 % landslide location data
that was not used during the model construction) using area under the curve (AUC) method. The success rate curve
showed that the area under the curve for RBF and MLP was 0.9085 (90.85 %) and 0.9193 (91.93 %) accuracy,
respectively. Similarly, the validation result showed that the area under the curve for MLP and RBF models were
0.881 (88.1 %) and 0.8724 (87.24 %), respectively. The results of this study showed that landslide susceptibility
mapping in the Vaz Watershed of Iran using the ANN approach is viable and can be used for land use planning. ©
2012 Saudi Society for Geosciences.
Author Keywords Artificial neural networks; Geographic Information Systems (GIS); Iran; Landslide; Susceptibility; Vaz
Watershed
Index Keywords algorithm, artificial neural network, data set, GIS, hazard assessment, land use planning, landslide, mapping
method, numerical model, photography, prediction, satellite data; Iran
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Correspondence Address
Pradhan B.; Faculty of Engineering, Department of Civil Engineering, Spatial and Numerical Modeling Research
Group, University Putra Malaysia (UPM), 43400 Serdang, Selangor Darul Ehsan, Malaysia; email:
ISSN: 18667511
DOI: 10.1007/s12517-012-0610-x
Language of Original Document: English
Abbreviated Source Title: Arab. J. Geosci.
Document Type: Article
Source: Scopus
Solaimani, K.a , Mousavi, S.Z.b , Kavian, A.b
Landslide susceptibility mapping based on frequency ratio and logistic regression models
(2013) Arabian Journal of Geosciences, 6 (7), pp. 2557-2569. Cited 1 time.
a GIS Centre, Sari University of Agricultural Sciences and Natural Resources, Sari, Iran b Sari University of Agricultural Sciences and Natural Resources, Sari, Iran
Abstract The aim of this study is to apply and compare a probability model, frequency ratio and statistical model, and a
logistic regression to Sajaroud area, Northern Iran using geographic information system. Landslide locations of the
study area were detected from interpretation of aerial photographs and field surveys. Landslide-related factors such
as elevation, slope gradient, slope aspect, slope curvature, rainfall, distance to fault, distance to drainage, distance
to road, land use, and geology were calculated from the topographic and geology map and LANDSAT ETM
satellite imagery. The spatial relationships between the landslide location and each landslide-related factor were
analyzed and then landslide susceptibility maps were produced using the frequency ratio and forward stepwise
logistic regression methods. Finally, the maps were tested and compared using known landslide locations, and
success rates were calculated. Predicted accuracy values for frequency ratio (79.48%) and logistic regression
models showed that the map obtained from frequency ratio model is more accurate than the logistic regression
(77.4%) model. The models used in this study have shown a great deal of importance for watershed management
and land use planning. © 2012 Saudi Society for Geosciences.
Author Keywords Frequency ratio; Logistic regression; Northern Iran; Susceptibility mapping
Index Keywords accuracy assessment, aerial photograph, elevation, field survey, GIS, land use, land use planning, Landsat thematic
mapper, landslide, prediction, probability, regression analysis, risk assessment, slope dynamics, statistical
analysis, topographic mapping; Iran
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Correspondence Address
Solaimani K.; GIS Centre, Sari University of Agricultural Sciences and Natural Resources, Sari, Iran; email:
ISSN: 18667511
DOI: 10.1007/s12517-012-0526-5
Language of Original Document: English
Abbreviated Source Title: Arab. J. Geosci.
Document Type: Article
Source: Scopus
Jiao, Y.-Y., Wang, Z.-H., Wang, X.-Z., Adoko, A.C., Yang, Z.-X.
Stability assessment of an ancient landslide crossed by two coal mine tunnels
(2013) Engineering Geology, 159, pp. 36-44. Cited 1 time.
State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics,
Chinese Academy of Sciences, Wuhan 430071, China
Abstract In 2005, when two main tunnels were excavated in Faer Coal Mine, Guizhou Province, China, an unknown ancient
landslide, subsequently named Dazhai landslide, was encountered. Roof caving, large convergence and severe
support damage in the tunnels, as well as several ground subsidence occurred. The two tunnels have been kept
stable after an inner supporting treatment in 2008. However, since a heavy rainfall in July 2010, some transverse
cracks were observed at the landslide toe, determining significant additional costs over the normal administration
of the mine. Invited by the owner, we performed a comprehensive investigation to evaluate the stability of Dazhai
landslide crossed by two main tunnels. Firstly, field surveys and mappings were completed to obtain a preliminary
delineation of the landslide surface, and a geological drilling along the central landslide axis was accomplished to
depict the sliding surface. After that, a monitoring system containing a GPS-RTK network and six observation
sections in one tunnel were established and a 12-month monitoring was conducted. Moreover, to obtain an overall
comprehension, numerical simulations were carried out by using GeoStudio and FLAC3D software. The results
from site drilling, monitoring and simulations indicate that the Dazhai landslide is stable as a whole, and only local
shallow landslides might occur. The local instability of Dazhai landslide has limited impact on the safety of the two
main tunnels. This conclusion has led to a budget savings of over RMB 40million. •Stability of an ancient landslide
crossed by two coal tunnels was studied.•Field surveys, drillings, monitoring and numerical simulations were
applied.•This landslide is stable as a whole, and only local shallow landslides might occur.•Local instability of the
landslide has little impact on the shaft safety.•This study has led to a budget savings of over RMB 40million for the
owner. © 2013 Elsevier B.V.
Author Keywords Ancient landslide; Coal mine tunnel; Geological exploration; GPS-RTK; Numerical simulations; Stability
assessment
Index Keywords Ancient landslide, Geological exploration, GPS-RTK, Mine tunnel, Stability assessment; Budget control, Coal
mines, Computer simulation, Surveys, System stability; Landslides; coal mine, GPS, landslide, mapping, mass
movement, numerical model, stability analysis, subsidence, tunnel; China, Guizhou
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Correspondence Address
Jiao Y.-Y.; State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil
Mechanics, Chinese Academy of Sciences, Wuhan 430071, China; email: [email protected]
ISSN: 00137952
CODEN: EGGOA
DOI: 10.1016/j.enggeo.2013.03.021
Language of Original Document: English
Abbreviated Source Title: Eng. Geol.
Document Type: Article
Source: Scopus
Wang, X.-F.a b c , Zhang, D.-S.a b c , Zhang, C.-G.d , Fan, G.-W.a b c
Mechanism of mining-induced slope movement for gullies overlaying shallow coal seams
(2013) Journal of Mountain Science, 10 (3), pp. 388-397.
a School of mines, China University of Mining and Technology, Xuzhou, 221116, China b State Key Laboratory of Coal Resource and Mine Safety, Xuzhou, 221116, China c Key Laboratory of Deep Coal Resource Mining, Ministry of Education of China, Xuzhou, 221116, China d The University of New South Wales, Sydney, 2052, Australia
Abstract This paper provides an improved understanding of the movement mechanisms of both bed-rock gully and sandy
soil gully when underground mining occurs underneath, followed by systematic analysis of the contributing factors
such as mining advance direction, gully slope angle, gully erosion coefficient and mining height. This paper
presents the results from monitoring, theoretical analyses and up to date modeling based on the geological features
in the gully affected area, and the implications of these results to the success of roof support trial. It was observed
that when mining occurred towards the gully, sliding of slope block along the fracture surface occurred, which
resulted in unstable roof condition; when mining progressed away from the gully, polygon blocks developed in the
gully slope and rotated in reversed direction forming hinged structure; within the bed-rock slope, the hinged
structure was unstable due to shear failure of the polygon block; however, within the sandy soil slope, the structure
was relatively stable due to the gradual rotating and subsiding of the polygon block. The increase of the value of
slope angle and mining height lead to a faster and more intensive fracture development within the gully slope,
which had a pronounced effect on gully slope stability and underground pressure. Various remediation approaches
are hence proposed in this paper including introducing more powerful support and reasonable mining height,
setting up working face along or away from gullies, using room and pillar, strip mining and backfill instead of
longwall mining. © 2013 Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-
Verlag Berlin Heidelberg.
Author Keywords Coal mine; Gully slope; Mining method; Movement mechanism; Roof control; Shallow coal seam
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Correspondence Address
Zhang D.-S.; School of mines, China University of Mining and Technology, Xuzhou, 221116, China; email:
ISSN: 16726316
DOI: 10.1007/s11629-013-2455-5
Language of Original Document: English
Abbreviated Source Title: J. Mt. Sci.
Document Type: Article
Source: Scopus
Pourghasemi, H.R.a , Moradi, H.R.a , Fatemi Aghda, S.M.b c
Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index
models and assessment of their performances
(2013) Natural Hazards, 69 (1), pp. 749-779. Cited 5 times.
a Department of Watershed Management Engineering, College of Natural Resources and Marine Sciences, Tarbiat
Modares University (TMU), Noor, Mazandaran, Iran b Department of Engineering Geology, Tarbiat Moallem University (Kharazmi University), Tehran, Iran c The Ministry of Road and Urban Development (Road, Housing and Urban Development Research Center),
Tehran, Iran
Abstract The current research presents a detailed landslide susceptibility mapping study by binary logistic regression,
analytical hierarchy process, and statistical index models and an assessment of their performances. The study area
covers the north of Tehran metropolitan, Iran. When conducting the study, in the first stage, a landslide inventory
map with a total of 528 landslide locations was compiled from various sources such as aerial photographs, satellite
images, and field surveys. Then, the landslide inventory was randomly split into a testing dataset 70 % (370
landslide locations) for training the models, and the remaining 30 % (158 landslides locations) was used for
validation purpose. Twelve landslide conditioning factors such as slope degree, slope aspect, altitude, plan
curvature, normalized difference vegetation index, land use, lithology, distance from rivers, distance from roads,
distance from faults, stream power index, and slope-length were considered during the present study. Subsequently,
landslide susceptibility maps were produced using binary logistic regression (BLR), analytical hierarchy process
(AHP), and statistical index (SI) models in ArcGIS. The validation dataset, which was not used in the modeling
process, was considered to validate the landslide susceptibility maps using the receiver operating characteristic
curves and frequency ratio plot. The validation results showed that the area under the curve (AUC) for three
mentioned models vary from 0.7570 to 0.8520 (AUCAHP = 75.70 %, AUCSI = 80.37 %, and AUCBLR = 85.20
%). Also, plot of the frequency ratio for the four landslide susceptibility classes of the three landslide susceptibility
models was validated our results. Hence, it is concluded that the binary logistic regression model employed in this
study showed reasonably good accuracy in predicting the landslide susceptibility of study area. Meanwhile, the
results obtained in this study also showed that the statistical index model can be used as a simple tool in the
assessment of landslide susceptibility when a sufficient number of data are obtained. © 2013 Springer
Science+Business Media Dordrecht.
Author Keywords AHP; Binary logistic regression; Iran; Landslide susceptibility mapping; North of Tehran; Statistical index
Index Keywords aerial photograph, field survey, GIS, hierarchical system, landslide, lithology, logistics, mapping
method, metropolitan area, model test, model validation, NDVI, performance assessment, regression
analysis, satellite imagery, software; Iran, Tehran [Iran], Tehran [Tehran (PRV)]
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(2010) Environ Earth Sci, 61, pp. 821-836.
Zare, M., Pourghasemi, H.R., Vafakhah, M., Pradhan, B.
Landslide susceptibility mapping at Vaz watershed (Iran) using an artificial neural network model: a comparison
between multi-layer perceptron (MLP) and radial basic function (RBF) algorithms
(2012) Arab J Geosci,
doi:10.1007/s12517-012-0610-x
Correspondence Address
Moradi H. R.; Department of Watershed Management Engineering, College of Natural Resources and Marine
Sciences, Tarbiat Modares University (TMU), Noor, Mazandaran, Iran; email: [email protected]
ISSN: 0921030X
DOI: 10.1007/s11069-013-0728-5
Language of Original Document: English
Abbreviated Source Title: Nat. Hazards
Document Type: Article
Source: Scopus
Bhandary, N.P.a , Dahal, R.K.a b , Timilsina, M.a , Yatabe, R.a
Rainfall event-based landslide susceptibility zonation mapping
(2013) Natural Hazards, 69 (1), pp. 365-388. Cited 1 time.
a Department of Civil and Environmental Engineering, Graduate School of Science and Engineering, Ehime
University, 3 Bunkyo, Matsuyama, 790-8577, Japan b Department of Geology, Tribhvuan University, Tri-Chandra Campus, Ghantaghar, Kathmandu, Nepal
Abstract Landslide susceptibility assessment is a major research topic in geo-disaster management. In recent days, various
landslide susceptibility and landslide hazard assessment methodologies have been introduced with diverse thoughts
of assessment and validation method. Fundamentally, in landslide susceptibility zonation mapping, the
susceptibility predictions are generally made in terms of likelihoods and probabilities. An overview of landslide
susceptibility zoning practices in the last few years reveals that susceptibility maps have been prepared to have
different accuracies and reliabilities. To address this issue, the work in this paper focuses on extreme event-based
landslide susceptibility zonation mapping and its evaluation. An ideal terrain of northern Shikoku, Japan, was
selected in this study for modeling and event-based landslide susceptibility mapping. Both bivariate and
multivariate approaches were considered for the zonation mapping. Two event-based landslide databases were used
for the susceptibility analysis, while a relatively new third event landslide database was used in validation.
Different event-based susceptibility zonation maps were merged and rectified to prepare a final susceptibility
zonation map, which was found to have an accuracy of more than 77 %. The multivariate approach was ascertained
to yield a better prediction rate. From this study, it is understood that rectification of susceptibility zonation map is
appropriate and reliable when multiple event-based landslide database is available for the same area. The analytical
results lead to a significant understanding of improvement in bivariate and multivariate approaches as well as the
success rate and prediction rate of the susceptibility maps. © 2013 Springer Science+Business Media Dordrecht.
Author Keywords Event-based landslide; Landslide susceptibility; Susceptibility zonation
Index Keywords database, hazard assessment, landslide, mapping, natural disaster, rainfall, slope stability, zonation; Japan, Shikoku
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Correspondence Address
Bhandary N. P.; Department of Civil and Environmental Engineering, Graduate School of Science and
Engineering, Ehime University, 3 Bunkyo, Matsuyama, 790-8577, Japan; email: [email protected]
ISSN: 0921030X
DOI: 10.1007/s11069-013-0715-x
Language of Original Document: English
Abbreviated Source Title: Nat. Hazards
Document Type: Article
Source: Scopus
Krejsa, M., Janas, P., Cajka, R.
Using DOProC method in structural reliability assessment
(2013) Applied Mechanics and Materials, 300-301, pp. 860-869. Cited 22 times.
Department of Structural Mechanics, Faculty of Civil Engineering, VSB - Technical University Ostrava, Ludvika
Podeste 1875/17, 708 33 Ostrava - Poruba, Czech Republic
Abstract Reliability of load-carrying structures has been assessed by various calculation procedures based on probability
theory and mathematic statistics, which have been becoming more and more popular. The calculation procedures
are well-suited for the design of elements in loadcarrying structures with the required level of reliability if at least
some input parameters are random and contribute to a qualitatively higher level of the reliability assessment and, in
turn, higher safety of those who use the buildings and facilities. This paper discusses application of the original and
new probabilistic methods - the Direct Optimized Probabilistic Calculation ("DOProC"), which uses a purely
numerical approach without any simulation techniques. This provides more accurate solutions to probabilistic
tasks, and, in some cases, to considerably faster completion of computations. © (2013) Trans Tech Publications,
Switzerland.
Author Keywords Direct optimized probabilistic calculation; DOProC method; Failure function; Load effect; Probability
distribution; Probability of failure; Reliability assessment; Structural resistance
Index Keywords DOProC method, Load effects, Probability of failure, Reliability assessments, Structural resistance; Numerical
methods, Optimization, Probability distributions, Reliability analysis, Reliability theory; Structural design
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Proban - Probabilistic analysis
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doi: 10.1016/j.probengmech.2009.01.004
Correspondence Address
Krejsa M.; Department of Structural Mechanics, Faculty of Civil Engineering, VSB - Technical University
Ostrava, Ludvika Podeste 1875/17, 708 33 Ostrava - Poruba, Czech Republic; email: [email protected]
Sponsors: Hwa Hsia Institute of Technology; Taiwan Society of Android Robotics; Trans Tech Publications lnc
Conference name: 2nd International Conference on Mechatronics and Applied Mechanics, ICMAM 2012
Conference date: 8 December 2012 through 9 December 2012
Conference code: 95891
ISSN: 16609336
ISBN: 9783037856512
DOI: 10.4028/www.scientific.net/AMM.300-301.860
Language of Original Document: English
Abbreviated Source Title: Appl. Mech. Mater.
Document Type: Conference Paper
Source: Scopus
Yesiloglu-Gultekin, N.a , Sezer, E.A.b , Gokceoglu, C.c , Bayhan, H.c
An application of adaptive neuro fuzzy inference system for estimating the uniaxial compressive strength of certain
granitic rocks from their mineral contents
(2013) Expert Systems with Applications, 40 (3), pp. 921-928. Cited 7 times.
a Department of Geological Engineering, Aksaray University, Aksaray, Turkey b Department of Computer Engineering, Hacettepe University, Beytepe, 06800 Ankara, Turkey c Department of Geological Engineering, Hacettepe University, Beytepe, 06800 Ankara, Turkey
Abstract The uniaxial compressive strength (UCS) of rocks is an important intact rock parameter, and it is commonly used
for various engineering applications. This parameter is mainly controlled by the mineralogical and textural
characteristics of rocks. In this study, a soft computing method, an adaptive neuro-fuzzy inference system
(ANFIS), was employed to estimate UCS from the mineral contents of certain granitic rocks selected from Turkey;
nonlinear multiple regression analysis was then employed to validate these estimations. Five nonlinear multiple
regressions and ANFIS models were constructed with three inputs: quartz, orthoclase and plagioclase. To
determine the optimal model, various performance indices (R, values account for and root mean square error) were
determined, and the model obtained from dataset #3 was selected as the optimal model. The coefficients of
correlation for the nonlinear multiple regression and ANFIS models were 0.87 and 0.91, respectively. Thus, both
models yielded acceptable results, and the ANFIS is a suitable method for estimating the UCS of rocks. © 2012
Elsevier Ltd. All rights reserved.
Author Keywords
Adaptive neuro fuzzy inference system; Granitic rock; Nonlinear multiple regression; Uniaxial compressive
strength
Index Keywords Adaptive neuro-fuzzy inference system, ANFIS model, Data sets, Engineering applications, Granitic rocks, Intact
rocks, Mineral content, Multiple regression analysis, Multiple regressions, Optimal model, Performance
indices, Root mean square errors, Soft computing methods, Textural characteristic, Uniaxial compressive strength;
Compressive strength, Granite, Mean square error, Quartz, Regression analysis, Rocks, Soft computing; Estimation
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Correspondence Address
Gokceoglu C.; Department of Geological Engineering, Hacettepe University, Beytepe, 06800 Ankara, Turkey;
email: [email protected]
ISSN: 09574174
CODEN: ESAPE
DOI: 10.1016/j.eswa.2012.05.048
Language of Original Document: English
Abbreviated Source Title: Expert Sys Appl
Document Type: Conference Paper
Source: Scopus
Ozdemir, A.a , Altural, T.b
A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide
susceptibility mapping: Sultan mountains, SW Turkey
(2013) Journal of Asian Earth Sciences, 64, pp. 180-197. Cited 7 times.
a Selcuk University, Department of Geological Engineering, Konya, Turkey b Selcuk University, Graduate School of Natural and Applied Sciences, Konya, Turkey
Abstract This study evaluated and compared landslide susceptibility maps produced with three different methods, frequency
ratio, weights of evidence, and logistic regression, by using validation datasets. The field surveys performed as part
of this investigation mapped the locations of 90 landslides that had been identified in the Sultan Mountains of
south-western Turkey. The landslide influence parameters used for this study are geology, relative permeability,
land use/land cover, precipitation, elevation, slope, aspect, total curvature, plan curvature, profile curvature,
wetness index, stream power index, sediment transportation capacity index, distance to drainage, distance to fault,
drainage density, fault density, and spring density maps. The relationships between landslide distributions and
these parameters were analysed using the three methods, and the results of these methods were then used to
calculate the landslide susceptibility of the entire study area. The accuracy of the final landslide susceptibility maps
was evaluated based on the landslides observed during the fieldwork, and the accuracy of the models was evaluated
by calculating each model's relative operating characteristic curve. The predictive capability of each model was
determined from the area under the relative operating characteristic curve and the areas under the curves obtained
using the frequency ratio, logistic regression, and weights of evidence methods are 0.976, 0.952, and 0.937,
respectively. These results indicate that the frequency ratio and weights of evidence models are relatively good
estimators of landslide susceptibility in the study area. Specifically, the results of the correlation analysis show a
high correlation between the frequency ratio and weights of evidence results, and the frequency ratio and logistic
regression methods exhibit correlation coefficients of 0.771 and 0.727, respectively. The frequency ratio model is
simple, and its input, calculation and output processes are easily understood. The interpretations of the
susceptibility map reveal that geology, slope steepness, slope aspect, and elevation played major roles in landslide
occurrence and distribution in the Sultan Mountains. The landslide susceptibility maps produced from this study
could therefore assist planners and engineers during development and land-use planning. © 2012 Elsevier Ltd.
Author Keywords Frequency ratio; Landslide susceptibility; Logistic regression; Weights of evidence
Index Keywords accuracy assessment, comparative study, frequency analysis, land cover, land use, landslide, mapping
method, numerical model, regression analysis, sediment transport, slope, comparative study, correlation, data
set, elevation, geological mapping, land use planning, landslide, regression analysis, slope; Sultan
Mountains, Turkey, Sultan Mountains, Turkey
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Correspondence Address
Ozdemir A.; Selcuk University, Department of Geological Engineering, Konya, Turkey; email:
ISSN: 13679120
DOI: 10.1016/j.jseaes.2012.12.014
Language of Original Document: English
Abbreviated Source Title: J. Asian Earth Sci.
Document Type: Article
Source: Scopus
Devkota, K.C.a b , Regmi, A.D.c , Pourghasemi, H.R.d , Yoshida, K.c , Pradhan, B.e , Ryu, I.C.a , Dhital, M.R.f ,
Althuwaynee, O.F.e
Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and
their comparison at Mugling-Narayanghat road section in Nepal Himalaya
(2013) Natural Hazards, 65 (1), pp. 135-165. Cited 21 times.
a Department of Geology, Kyungpook National University, 1370 Sankyuk-dong, Buk-gu, Taegu, 702-701, South
Korea b Ministry of Public Administration and Security, National Disaster Management Institute, 136 Mapo-daero, Mapo-
gu, Seoul, 121-719, South Korea c Department of Geology, Faculty of Science, Shinshu University, Asahi 3-1-1, Matsumoto, 3908621, Japan d College of Natural Resources and Marine Sciences, Tarbiat Modares University (TMU), Tehran, Iran e Faculty of Engineering, Geospatial Information Science Research Centre (GIS RC), University Putra Malaysia,
43400 Serdang, Selangor Darul Ehsan, Malaysia f Central Department of Geology, Tribhuvan Univeristy, Kritipur, Kathmandu, Nepal
Abstract Landslide susceptibility maps are vital for disaster management and for planning development activities in the
mountainous country like Nepal. In the present study, landslide susceptibility assessment of Mugling-Narayanghat
road and its surrounding area is made using bivariate (certainty factor and index of entropy) and multivariate
(logistic regression) models. At first, a landslide inventory map was prepared using earlier reports and aerial
photographs as well as by carrying out field survey. As a result, 321 landslides were mapped and out of which 241
(75 %) were randomly selected for building landslide susceptibility models, while the remaining 80 (25 %) were
used for validating the models. The effectiveness of landslide susceptibility assessment using GIS and statistics is
based on appropriate selection of the factors which play a dominant role in slope stability. In this case study, the
following landslide conditioning factors were evaluated: slope gradient; slope aspect; altitude; plan curvature;
lithology; land use; distance from faults, rivers and roads; topographic wetness index; stream power index; and
sediment transport index. These factors were prepared from topographic map, drainage map, road map, and the
geological map. Finally, the validation of landslide susceptibility map was carried out using receiver operating
characteristic (ROC) curves. The ROC plot estimation results showed that the susceptibility map using index of
entropy model with AUC value of 0. 9016 has highest prediction accuracy of 90. 16 %. Similarly, the susceptibility
maps produced using logistic regression model and certainty factor model showed 86. 29 and 83. 57 % of
prediction accuracy, respectively. Furthermore, the ROC plot showed that the success rate of all the three models
performed more than 80 % accuracy (i. e. 89. 15 % for IOE model, 89. 10 % for LR model and 87. 21 % for CF
model). Hence, it is concluded that all the models employed in this study showed reasonably good accuracy in
predicting the landslide susceptibility of Mugling-Narayanghat road section. These landslide susceptibility maps
can be used for preliminary land use planning and hazard mitigation purpose. © 2012 Springer Science+Business
Media B.V.
Author Keywords Certainty factor; Geographic information systems (GIS); Index of entropy; Landslides; Logistic
regression; Nepal; Remote sensing; Susceptibility
Index Keywords accuracy assessment, disaster management, field survey, geomorphological mapping, GIS, hazard
management, land use planning, landslide, numerical model, prediction, regression analysis, remote sensing;
Himalayas, Nepal
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Correspondence Address
Pradhan B.; Faculty of Engineering, Geospatial Information Science Research Centre (GIS RC), University Putra
Malaysia, 43400 Serdang, Selangor Darul Ehsan, Malaysia; email: [email protected]
ISSN: 0921030X
DOI: 10.1007/s11069-012-0347-6
Language of Original Document: English
Abbreviated Source Title: Nat. Hazards
Document Type: Article
Source: Scopus
Čajka, R.
Analytical derivation of friction parameters for FEM calculation of the state of stress in foundation structures on
undermined territories
(2013) Acta Montanistica Slovaca, 18 (4), pp. 254-261.
Department of Structures, VSB - Technical University Ostrava, Ludvíka Podéště 1875/17, 708 33 Ostrava-Poruba,
Czech Republic
Abstract When calculating the state of stress in a structure caused by relative strain of landscape which is a result of
undermining, the structure is often deformed in order to create the specific situation. Each part of the structure
resists the strain in a difference way. This depends on places where the structure is in contact with soil
environment. When calculating the 3D foundation structures by means of the Finite Element Method (FEM), it is
necessary to determine the soil environment resistance. For that purpose, most FEM software applications enable
now to enter the friction parameters C1x and C1y. Unlike C1z which resists the structure in the direction
perpendicular to the element's plane, these parameters are applied in the central line plane of a slab and rod
element.
Author Keywords FEM calculation; Foundation structures; Friction parameters
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Cajka R.; Department of Structures, VSB - Technical University Ostrava, Ludvíka Podéště 1875/17, 708 33
Ostrava-Poruba, Czech Republic; email: [email protected]
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Demir, G.a , Aytekin, M.b , Akgün, A.c , Ikizler, S.B.d , Tatar, O.e
A comparison of landslide susceptibility mapping of the eastern part of the North Anatolian Fault Zone (Turkey)
by likelihood-frequency ratio and analytic hierarchy process methods
(2013) Natural Hazards, 65 (3), pp. 1481-1506. Cited 4 times.
a Department of Civil Engineering, Cumhuriyet University, Sivas, Turkey b Department of Civil Engineering and Architecture, University of Bahrain, Isa Town, Bahrain c Department of Geological Engineering, KTU, Trabzon, Turkey d Department of Civil Engineering, KTU, Trabzon, Turkey e Department of Geological Engineering, Cumhuriyet University, Sivas, Turkey
Abstract The North Anatolian Fault is known as one of the most active and destructive fault zones which produced many
earthquakes with high magnitudes both in historical and instrumental periods. Along this fault zone, the
morphology and the lithological features are prone to landslides. Kuzulu landslide, which is located near the North
Anatolian Fault Zone, was triggered by snow melting without any precursor, occurred on March 17, 2005. The
landslide resulted in 15 deaths and the destruction of about 30 houses at Kuzulu village. There is still a great danger
of further landslides in the region. Therefore, it is vitally important to present its environmental impacts and
prepare a landslide susceptibility map of the region. In this study, we used likelihood-frequency ratio model and
analytical hierarchy process (AHP) to produce landslide susceptibility maps. For this purpose, a detailed landslide
inventory map was prepared and the factors chosen that influence landslide occurrence were: lithology, slope
gradient, slope aspect, topographical elevation, distance to stream, distance to roads, distance to faults, drainage
density and fault density. The ArcGIS package was used to evaluate and analyze all the collected data. At the end
of the susceptibility assessment, the area was divided into five susceptibility regions, such as very low, low,
moderate, high and very high. The results of the analyses were then verified using the landslide location data and
compared with the probability model. For this purpose, an area under curvature (AUC) and the seed cell area index
assessments were applied. An AUC value for the likelihood-frequency ratio-based model 0. 78 was obtained,
whereas the AUC value for the AHP-based model was 0. 64. The landslide susceptibility map will help decision
makers in site selection and the site-planning process. The map may also be accepted as a basis for landslide risk-
management studies to be applied in the study area. © 2012 Springer Science+Business Media Dordrecht.
Author Keywords Analytical hierarchy process; GIS; Landslide; Likelihood-frequency ratio; North Anatolian Fault Zone
Index Keywords analytical hierarchy process, decision making, environmental impact, fault zone, geomorphological
mapping, GIS, landslide, North Anatolian Fault, probability, risk assessment, slope, trigger mechanism; Turkey
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Correspondence Address
Demir G.; Department of Civil Engineering, Cumhuriyet University, Sivas, Turkey; email:
ISSN: 0921030X
DOI: 10.1007/s11069-012-0418-8
Language of Original Document: English
Abbreviated Source Title: Nat. Hazards
Document Type: Article
Source: Scopus
Pourghasemi, H.R.a , Pradhan, B.b , Gokceoglu, C.c
Remote sensing data derived parameters and its use in landslide susceptibility assessment using shannon's entropy
and GIS
(2012) Applied Mechanics and Materials, 225, pp. 486-491. Cited 3 times.
a Department of Watershed Management Engineering, College of Natural Resources and Marine Science, Tarbiat
Modares University (TMU), Iran b Institute of Advanced Technology, Faculty of Engineering, Spatial and Numerical Modeling Research Group,
University Putra Malaysia, 43400, Serdang, Selangor, Malaysia c Faculty of Engineering, Applied Geology Division, Department of Geological Engineering, Hacettepe University,
Turkey
Abstract In recent years, the growth of urban populations in hazardous areas has increased the impact of natural disasters in
both developed and developing countries. The purpose of the current study is to assess the landslide susceptibility
in Kalaleh township of Golestan province, Iran. In this study the Shannon's entropy approach was applied. A total
of 82 landslide locations were identified primarily from aerial photographs and field surveys. Then eighteen
landslides conditioning factors were prepared in GIS. These landslide conditioning factors are: slope degree, slope
aspect, altitude, plan curvature, profile curvature, tangential curvature, surface area ratio (SAR), lithology, land
use, soil texture, distance from faults, distance from rivers, distance from roads, fault density, road density,
topographic wetness index (TWI), stream power index (SPI), and sediment transport index (STI). Using these
conditioning factors, landslide susceptibility index was calculated using Shannon's entropy. For model validation,
the results of the analyses were then compared with the field-verified landslide locations. Additionally, the receiver
operating characteristics (ROC) curves for landslide susceptibility maps were drawn and the area under curve
values was calculated. Verification results showed 82.15% accuracy. According to the results of the AUC (area
under curve) evaluation, the map produced exhibits satisfactory properties. © (2012) Trans Tech Publications,
Switzerland.
Author Keywords Gis; Iran; Landslide; Remote sensing; Shannon's entropy; Susceptibility
Index Keywords Aerial Photographs, Fault density, Field surveys, Hazardous area, Iran, Landslide susceptibility, Model
validation, Natural disasters, Receiver operating characteristics, Remote sensing data, Road density, Shannon's
entropy, Slope aspect, Soil textures, Stream power index, Surface area, Topographic wetness index, Urban
population, Verification results; Developing countries, Geographic information systems, Information
theory, Lithology, Magnetic susceptibility, Population statistics, Remote sensing, Sediment transport, Urban
growth; Landslides
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Correspondence Address
Pourghasemi H. R.; Department of Watershed Management Engineering, College of Natural Resources and Marine
Science, Tarbiat Modares University (TMU)Iran; email: [email protected]
Sponsors: MALAYSIA Convention and Exhibition Bureau; Malaysia Truly Asia
Conference name: AEROTECH IV - 2012
Conference date: 21 November 2012 through 22 November 2012
Conference location: Kuala Lumpur
Conference code: 94395
ISSN: 16609336
ISBN: 9783037855065
DOI: 10.4028/www.scientific.net/AMM.225.486
Language of Original Document: English
Abbreviated Source Title: Appl. Mech. Mater.
Document Type: Conference Paper
Source: Scopus
Vlášek, R.a , Peňáz, T.b , Welser, P.c , Yilmaz, I.d , Bouchal, T.e , Drusa, M.f , Stalmachová, B.e , Duraj, M.a
Need for a specific description of solid rocks and soils in engineering geology
(2012) 12th International Multidisciplinary Scientific GeoConference and EXPO - Modern Management of Mine
Producing, Geology and Environmental Protection, SGEM 2012, 2, pp. 191-198.
a VŠB-Technical University of Ostrava, Institute of Geological Engineering, Czech Republic b VŠB-Technical University of Ostrava, Institute of Geographic Information Systems, Czech Republic c After mining s. r. o, Czech Republic d Cumhuriyet University, Department of Geological Engineering, Sivas, Turkey e VŠB-Technical University of Ostrava, Institute of Environmental Engineering, Czech Republic f University of Zilina, Department of Geotechnics, Slovakia
Abstract Description of rocks in engineering geology is a specific and different from other geological disciplines. This need
results from the necessity to apply of the rock properties in their names and descriptions. For foundation
engineering is not the most important petrographic rock name, but their properties, which are reflected in the
characteristics of foundation engineering (bearing capacity, settlement). © SGEM2012 All Rights Reserved by the
International Multidisciplinary Scientific GeoConference SGEM.
Author Keywords Czech republic; Engineering geology; Rocks
Index Keywords Czech Republic, Foundation engineering, Rock properties; Engineering geology, Exhibitions; Rocks
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Marschalko, M., Yilmaz, I., Kubecka, K., Bednarik, M., Stalmachova, B., Bouchal, T., Arencibia, O.
Case study of landslide in the Karviń region with using resistivity tomography measurements
(2011) Scientific Research and Essays, 6 (23), pp. 4936-4945.
Marschalko, M., Yilmaz, I., Kubečka, K., Bouchal, T., Bednárik, M., Lahuta, H., Duraj, M.
The Importance of the Engineering-Geological Conditions Identified in Land Use Plans in the Spa Darkov
Region (Czech Republic)
(2011) Conference Proceedings: 11th International Multidisciplinary Scientific GeoConference SGEM 2011,
Modern Management of Mine Producing, Geology and Environmental Protection, 1, pp. 637-644.
, Albena, Bulgaria, ISSN: 1314-2704, DOI: 10.5593/sgem2011/s02.141
Marschalko, M., Yilmaz, I., Kubečka, K., Bouchal, T., Bednárik, M., Lahuta, H., Duraj, M.
The Criterion of the Pre-Quaternary Bedrock As Important Information For the Future Foundation Engineering
Purposes Within the Planned Development
(2011) Conference Proceedings: 11th International Multidisciplinary Scientific GeoConference SGEM 2011,
Modern Management of Mine Producing, Geology and Environmental Protection, 1, pp. 615-622.
Albena, Bulgaria, ISSN: 1314-2704, DOI: 10.5593/sgem2011/s02.138
Petro, L., Klukanova, A., Kovacikova, M.
Geohazards of the Danube Region In Slovakia
(1997) International Symposium On Engineering Geology and The Environment, 1-3, pp. 1439-1444.
Athens, Greece, Jun 23-27, Engineering Geology And The Environment
Yilmaz, I., Marschalko, M., Bednarik, M.
Comments on Landslide susceptibility zonation study using remote sensing and GIS technology in the Ken-
Betwa River Link area, India
Bulletin of Engineering Geology and The Environment,
by R. Avtar, C. K. Singh, G. Singh, R.L. Verma, S. Mukherjee, H. Sawada, DOI 10.1007/s10064-011-0368-5).
Bulletin of Engineering Geology and the Environments. DOI: 10.1007/s10064-011-0406-3
Yilmaz, I., Marschalko, M., Yildirim, M., Dereli, E., Bednarik, M.
Preparation of the GIS based kinematic slope instability and slope mass rating (SMR) maps: An application to a
railway route in Sivas (Turkey)
Bulletin of Engineering Geology and The Environment,
DOI: 10.1007/s10064-011-0384-5
Yilmaz, I., Marschalko, M., Bednarik, M.
Gypsum collapse hazards and importance of hazard mapping
(2011) Carbonates and Evaporites, 26 (2), pp. 193-209.
Yilmaz, I., Marschalko, M., Bednarik, M., Kaynar, O., Fojtova, L.
Neural computing models for prediction of permeability coefficient of coarse grained soils
(2011) Neural Computing and Applications,
DOI: 10.1007/s00521-011-0535-4
Correspondence Address
VŠB-Technical University of Ostrava, Institute of Geological EngineeringCzech Republic
Conference name: 12th International Multidisciplinary Scientific GeoConference and EXPO, SGEM 2012
Conference date: 17 June 2012 through 23 June 2012
Conference location: Varna
Conference code: 101586
Language of Original Document: English
Abbreviated Source Title: 12th Int. Multidisciplinary Sci. GeoConf. EXPO - Mod. Manage. Mine Producing,
Geology Environ. Protection
Document Type: Conference Paper
Source: Scopus
Drusa, M., Chebeň, V.
Implementation of TDR technology for monitoring of negative factors of slope deformations
(2012) 12th International Multidisciplinary Scientific GeoConference and EXPO - Modern Management of Mine
Producing, Geology and Environmental Protection, SGEM 2012, 2, pp. 143-150. Cited 2 times.
University of Žilina, Slovakia
Abstract Time domain reflectometry (TDR) has been used for a first time in 1950's to examine electrical properties of cables
and transmission lines, and measuring the electrical properties of organic liquids. Universality and further
enhancement of the technology during the 1980's led to monitoring of slope and landslide movements. Thus, TDR
has been utilized in monitoring slope movement to locate shear planes in localized shear failures. The main
advantage of TDR monitoring is localization depth and type of rising deformations bellow surface. However,
advance in electrical technology last 20 years led to emerging air dielectric cables that became object of interest for
further development in geotechnical engineering. Thanks to its material, mechanical and electrical properties were
chosen for application in water level measurement as the most acting negative factor on slope stability. Today new
way of installation of coaxial or piezometric cable by dynamic penetration (DP) and static penetration (CPT)
machines is in progress of research Drusa et al. (2011) and also experiences comes from other research works,
where TDR was implemented in certain European conditions of landslides - Corsini et al. (2008), Singer et al.,
(2010). © SGEM2012 All Rights Reserved by the International Multidisciplinary Scientific GeoConference
SGEM.
Author Keywords Inclinometer; Landslide monitoring; Slope movement; TDR monitoring; TDR piezometer
Index Keywords Electrical technology, Inclinometer, Landslide monitoring, Landslide movements, Mechanical and electrical
properties, Slope movement, TDR piezometer, Time domain reflectometry;
Cables, Deformation, Exhibitions, Landslides, Monitoring, Slope protection, Water levels; Electric properties
References
Bednárik, M., Magulová, B., Matys, M., Marschalko, M.
Landslide susceptibility assessment of the Kralovany-Liptovsky Mikulas railway case study
(2010) Physics and Chemistry of the Earth, 35 (3-5), pp. 162-171.
Corsini
Early warning system for earth slides: Technical and decision making constrains for the application of integrated
Continuous GPS system
(2008) Mountainn Risk Workshop Barcelona,
5.Sept
Dowding, C.H., O'Connor, K.M.
(1999) Geomeasurements By Pulsing TDR Cables and Probes,
Boca Raton: CRC Press, ISBN 08-493-0586-1
Drusa, M., Chebeň, V., Masarovičová, S.
(2011) Experiences With the Implementation of TDR Technology For Slope Deformation Monitoring, XX
RusPolSk Seminar,
Warszawa & Wroclaw 2011, BTO Print, ISBN 978-80- 970248-6-4
Kuester, E.F., Popovic, Z.
(2005) Principles of RF and Microwave Measurement,
USA, Boulder: University of Colorado
Marschalko, M.M., Bednarik, M., Yilmaz, I., Bouchal, T., Kubecka, K.
Evaluation of subsidence due to underground coal mining: An example from the Czech Republic
(2011) Bulletin of Engineering Geology and The Environments,
DOI: 10.1007/s10064-011-0401-8
Marschalko, M., Yilmaz, I., Kristkova, V., Matej, F., Bednarik, M., Kubecka, K.
Determination of actual limit angles to the surface and their comparison with the empirical values in the Upper
Silesian Basin
(2011) Engineering Geology,
DOI: 10.1016/j.enggeo.2011.10.010
Sargand, S.M., Sargent, L., Farrington, S.P.
(2004) Inclinometer-Time Domain Reflectometry Comparative Study,
Final Report December 2004, USA, Athens: Ohio University
Singer, J.
(2010) Development of a Continuous Monitoring System For Instable Slopes Using Time Domain Reflectometry
(TDR), p. 189.
PhD Thesis, Technische Universität München, Munich, Germany
Yilmaz, I., Marschalko, M., Yildirim, M., Dereli, E., Bednarik, M.
Preparation of the GIS based kinematic slope instability and slope mass rating (SMR) maps: An application to a
railway route in Sivas (Turkey)
(2012) Bulletin of Engineering Geology and The Environment,
DOI: 10.1007/s10064-011-0384-5
Correspondence Address
University of ŽilinaSlovakia
Conference name: 12th International Multidisciplinary Scientific GeoConference and EXPO, SGEM 2012
Conference date: 17 June 2012 through 23 June 2012
Conference location: Varna
Conference code: 101586
Language of Original Document: English
Abbreviated Source Title: 12th Int. Multidisciplinary Sci. GeoConf. EXPO - Mod. Manage. Mine Producing,
Geology Environ. Protection
Document Type: Conference Paper
Source: Scopus
Drusa, M.
Improvement in evaluation of neogenous soils by CPT testing
(2012) 12th International Multidisciplinary Scientific GeoConference and EXPO - Modern Management of Mine
Producing, Geology and Environmental Protection, SGEM 2012, 2, pp. 151-158. Cited 2 times.
University of Žilina, Slovakia
Abstract The development of infrastructure in Slovakia is engaged by construction of new stages of motorways and high-
speed roads. By engineering geological survey of one part of new high speed road R1, there were used for
evaluation of properties of neogenous fine grained soils cone penetration testing (CPT) and pressuremeter testing
as in situ surveying methods. Due to large number of tests supplemented by laboratory investigations new
correlation for the determination of deformation modulus from cone penetration resistance was estimated for
neogenous clays from soft to hard consistency. © SGEM2012 All Rights Reserved by the International
Multidisciplinary Scientific GeoConference SGEM.
Author Keywords
Cone resistance; Consistency; CPT testing; Deformation modulus; Friction ratio; Liquefaction; Pressuremeter
test
Index Keywords Cone resistance, Consistency, Deformation modulus, Friction ratio, Pressuremeter tests;
Deformation, Exhibitions, Liquefaction, Soil liquefaction; Soil testing
References
Drusa, M., Mečá, M.
(2007) Cone Penetration Testing For Evaluations of Properties of Antropogenous and Loess Deposits, XVI
Russian-Polish-Slovak Seminar, pp. 281-285.
11th - 15th June, Žilina, Slovakia, ISBN 5-72640428-9
Drusa, M., Chebeň, V., Mečá, M., Fussgänger, E.
EVALUATION OF PROPERTIES OF NEOGENOUS FINE SOILS BY CPT TESTING
(2009) Proceedings of XVIII POLISH - RUSSIAN - SLOVAK SEMINAR Theoretical Foundation of Civil
Engineering,
Arkhangelsk, Russia 01 - 05 July
Fussgänger, E.
(2008) Engineering-geological Survey For High Speed Route R1 Selenec - Beladice,
Final Report 430-1/2007, Geofos LTd
Marschalko, M., Yilmaz, I., Kristkova, V., Matej, F., Bednarik, M., Kubecka, K.
Determination of actual limit angles to the surface and their comparison with the empirical values in the Upper
Silesian Basin
(2011) Engineering Geology,
Czech Republic DOI: 10.1016/j.enggeo.2011.10.010
Marschalko, M., Yilmaz, I., Bednarik, M., Kubecka, K.
Variations in the building site categories in the underground mining region of Doubrava (Czech Republic) for
land use planning
(2011) Engineering Geology, 122 (3-4), pp. 169-178.
Matys, M., Ťavoda, O., Cuninka, M.
(1990) Poľné skúšky zemín, p. 303.
Alfa, Bratislava
Mayne, P.W., Christopher, B.R., Delong, J.
(2001) Manual of Subsurface Investigations,
National Highway Institute, FHWA NHI-01-031, Washington DC
Nguyen, G.
Differences in determination of soil bearing capacity between Slovak Technical Standard STN 73 1001 and
Eurocode 7
(2009) 11th Conference On Science and Technology, pp. 1296-1303.
Vietnam National University - Ho Chi Minh City Publishing House, Socialistic Republic of Vietnam
Petro, L., Frankovská, J., Matys, M., Wagner, P.
(2008) kolektív: Inžinierskogeologický a geotechnický terminologický slovník, ŠGÚDŠ,
Bratislava, ISBN 978-80-88974-99-4
(2009) Evaluation of Penetrating Methods For Determining the Deformation Properties of Subsoil of Transport
Constructions and Their Verification In Geotechnical Practice,
Research project VEGA No. 1/4215/07
Robertson, P.K.
Soil Classification Using the Cone Penetration Test
(1990) Canadian Geotechnical Journal, 27 (1), pp. 151-158.
Yilmaz, I., Kaynar, O.
Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils
(2011) Expert Systems With Applications, 38 (5), pp. 5958-5966.
Correspondence Address
Drusa M.; University of ŽilinaSlovakia
Conference name: 12th International Multidisciplinary Scientific GeoConference and EXPO, SGEM 2012
Conference date: 17 June 2012 through 23 June 2012
Conference location: Varna
Conference code: 101586
Language of Original Document: English
Abbreviated Source Title: 12th Int. Multidisciplinary Sci. GeoConf. EXPO - Mod. Manage. Mine Producing,
Geology Environ. Protection
Document Type: Conference Paper
Source: Scopus
Monica, F.
Hydrodynamics of groundwater in loess.case study: The interfluvial at the west of Galati-Romania
(2012) 12th International Multidisciplinary Scientific GeoConference and EXPO - Modern Management of Mine
Producing, Geology and Environmental Protection, SGEM 2012, 3, pp. 707-712.
Doctoral School of Geography 'Simion Mehedinti', University of Bucharest, Romania
Abstract Hydrogeological and geotechnical studies conducted in the last 30 years in the west of Galati share indicates the
groundwater increase by about 20 m. Transverse profiles confirms the slow pace made the lifting of water today.
Surface observations and the processing of soil samples into laboratory have led to highlighting specific features of
the presence and action of the groundwater all of them influenced by hydrodynamic natural factors. Foundation
grounds that are the deposits of loess is particularly sensitive to water in the area investigated. That thing created
changes in the structure ground and facilitated the development of deformations over acceptable limits, causing
local instability. © SGEM2012 All Rights Reserved by the International Multidisciplinary Scientific
GeoConference SGEM Published by STEF92 Technology Ltd.
Author Keywords Groundwater; Hydrodynamics; Loess
Index Keywords Acceptable limit, Geotechnical studies, Hydrogeological, Local instability, Loess, Natural factors, Surface
observation, Transverse profile; Exhibitions, Hydrodynamics, Sediments; Groundwater
References
Grecu, F., Demeter, T.
(1997) Superficial Formations Geography,
University of Bucharest
Istrate, A., Frinculeasa, M.
Structure and evolution of collapsible deposits east of Bucharest of the Mostiştea plain
(2010) Romania, 10th International Multidisciplinary Scientific GeoConference - SGEM2010, 1, pp. 305-312.
Pascu, M., Stelea, V.
(1963) Practical Handbook of Technical Geology, 86, p. 27.
Technical Publishing House, Bucharest
Ielenicz, M., Pǎtru, I.
(2005) Romania Physical Geography, p. 241.
Volume I, Bucharest University Publishing House
Sficlea, V., Plateau, C.
(1980) Geomorphological Study In Romania VolGeography Rese Arch, pp. 223-285.
Scientific and Encyclopedic Publishing House, Bucharest
Sficlea, V.
(1972) The Platform Covurlui,
PhD Thesis, The Center of University multiplication Al. I. Cuza, Iaşi
Marschalko, M., Duraj, M.
Knowledge of engineering-geological conditions as decisive factor for good-quality and functional foundation
of potential structures
(2009) 9th International Multidisciplinary Scientific GeoConference - SGEM2009, 1, pp. 261-270.
Bǎlan, S.F., Apostol, B.F., Cioflan, C.O.
Modeling geodynamical parameters for the local seismic effects estimation
(2011) Example For Galati and Tecuci Seismic Areas, Publicatǎ În Romanian Reports In
Physics, 63 (1), pp. 240-249.
Correspondence Address
Monica F.; Doctoral School of Geography 'Simion Mehedinti', University of BucharestRomania
Conference name: 12th International Multidisciplinary Scientific GeoConference and EXPO, SGEM 2012
Conference date: 17 June 2012 through 23 June 2012
Conference location: Varna
Conference code: 101586
Language of Original Document: English
Abbreviated Source Title: 12th Int. Multidisciplinary Sci. GeoConf. EXPO - Mod. Manage. Mine Producing,
Geology Environ. Protection
Document Type: Conference Paper
Source: Scopus
Althuwaynee, O.F., Pradhan, B., Mahmud, A.R., Yusoff, Z.M.
Prediction of slope failures using bivariate statistical based index of entropy model
(2012) CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research, art.
no. 6504340, pp. 362-367. Cited 4 times.
Department of Civil Engineering, Geospatial Information Science Research Centre (GISRC), University Putra
Malaysia, Serdang, Selangor Darul Ehsan 43400, Malaysia
Abstract The main objective of this research is to evaluate the spatial prediction of potential slope failures in Kuala Lumpur
and surrounding areas using an index of entropy based statistical model. Based on potential information of entropy
method (IoE), subjective weights were calculated for fourteen landslide conditioning factors used in this study such
as, (slope, aspect, curvature, altitude, surface roughness, lithology, distance from faults, NDVI (normalized
difference vegetation index), land cover, distance from drainage, distance from road, SPI (stream power index),
soil type and precipitation). A landslide inventory map of the study area was produced using previous reports and
aerial photographs interpretation aided with extensive field survey and total of 220 main scarps were identified.
Out of this, 153 (70%) landslide locations were used to build the IoE model, while remaining 66 (30%) landslide
locations were used for validation purpose. For validation, the area under the curve (AUC) was used to quantify the
predictive performance of the employed IoE model. The validation results show that the prediction accuracy of the
model is 0.80 (80%) and the success rate equals to 0.81 (81%) that consider fine indicator of the reliability of
bivariate model based IoE model employed in this study. © 2012 IEEE.
Author Keywords Bivariate model; Geographic Information Systems (GIS); Index of Entropy; Kuala Lumpur; Landslides; Remote
Sensing
Index Keywords Area under the curves, Bivariate models, Kuala Lumpur, Landslide inventories, Normalized difference vegetation
index, Prediction accuracy, Predictive performance, Spatial prediction; Entropy, Forecasting, Geographic
information systems, Landslides, Lithology, Remote sensing, Surface roughness; Engineering research
References
Pradhan, B.
Landslide susceptibility mapping by neuro-fuzzy approach in a landslide-prone area (Cameron highlands,
Malaysia)
(2010) Geoscience and Remote Sensing, IEEE Transactions on, 48, pp. 4164-4177.
Oh, H.J., Pradhan, B.
Application of a neuro-fuzzy model to landslide susceptibility mapping for shallow landslides in a tropical hilly
area
(2011) Computers & Geosciences,
Pradhan, B., Lee, S.
Landslide risk analysis using artificial neural network model focusing on different training sites
(2009) International Journal of Physical Sciences, 4, pp. 1-15.
Pradhan, B., Pirasteh, S.
Comparison between prediction capabilities of neural network and fuzzy logic techniques for landslide
susceptibility mapping
(2010) Disaster Adv, 3, pp. 26-34.
Pradhan, B., Youssef, A.M.
Manifestation of remote sensing data and GIS on landslide hazard analysis using spatial-based statistical models
(2010) Arabian Journal of Geosciences, 3, pp. 319-326.
Pradhan, B., Lee, S.
Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression,
and artificial neural network models
(2010) Environmental Earth Sciences, 60, pp. 1037-1054.
Pradhan, B.
Application of an advanced fuzzy logic model for landslide susceptibility analysis
(2010) International Journal of Computational Intelligence Systems, 3, pp. 370-381.
2010/09/01
Vlcko J, W.P., Rychlikova, Z.
Evaluation of regional slope stability
(1980) Mineralia Slovaca, 12, pp. 275-283.
Pradhan, B., Lee, S.
Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland,
Malaysia
(2010) Landslides, 7, pp. 13-30.
Pradhan, B., Buchroithner, M.F.
Comparison and validation of landslide susceptibility maps using an artificial neural network model for three
test areas in Malaysia
(2010) Environmental & Engineering Geoscience, 16, pp. 107-126.
Pradhan, B., Lee, S.
Landslide susceptibility assessment and factor effect analysis: Backpropagation artificial neural networks and
their comparison with frequency ratio and bivariate logistic regression modelling
(2010) Environmental Modelling and Software, 25, pp. 747-759.
Pradhan, B.
Remote sensing and GIS-based landslide susceptibility analysis and its cross-validation in three test areas using
a frequency ratio model
(2010) Photogrammetrie, Fernerkundung, Geoinformation, 2010, pp. 17-32.
Pradhan, B.
A GIS-based back-propagation neural network model and its cross-application and validation for landslide
susceptibility analyses
(2010) Computers, Environment and Urban Systems, 34, pp. 216-235.
Althuwaynee, O.F.
Application of an evidential belief function model in landslide susceptibility mapping
(2012) Computers & Geosciences, 44, pp. 120-135.
Lee, S., Pradhan, B.
Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models
(2007) Landslides, 4, pp. 33-41.
Guzzetti, F.
Landslide inventory maps: New tools for an old problem
(2012) Earth-Science Reviews, 112, pp. 42-66.
Van Westen, C.J.
Landslide hazard and risk zonation-why is it still so difficult?
(2006) Bulletin of Engineering Geology and the Environment, 65, pp. 167-184.
Constantin, M.
Landslide susceptibility assessment using the bivariate statistical analysis and the index of entropy in the Sibiciu
Basin (Romania)
(2011) Environmental Earth Sciences, 63, pp. 397-406.
Bednarik, M.
Landslide susceptibility assessment of the Kralovany-Liptovsk Mikulás railway case study
(2010) Physics and Chemistry of the Earth, Parts A/B/C, 35, pp. 162-171.
Kojima, H.
Strategy on the landslide type analysis based on the expert knowledge and the quantitative prediction model
(2000) International Archives of Photogrammetry and Remote Sensing, 33, pp. 701-708.
Tien Bui, D.
Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): A comparative assessment of the
efficacy of evidential belief functions and fuzzy logic models
(2012) Catena, 96, pp. 28-40.
Oh, H.-J.
Predictive landslide susceptibility mapping using spatial information in the Pechabun area of Thailand
(2009) Environmental Geology, 57, pp. 641-651.
Alansi, A.
The effect of development and land use change on rainfall-runoff and runoff-sediment relationships under
humid tropical condition: Case study of bernam watershed Malaysia
(2009) European Journal of Scientific Research, 31, pp. 88-105.
Correspondence Address
Pradhan B.; Department of Civil Engineering, Geospatial Information Science Research Centre (GISRC),
University Putra Malaysia, Serdang, Selangor Darul Ehsan 43400, Malaysia; email: [email protected]
Sponsors: IEEE Malaysia; IEEE Malaysia Power Electron./Ind. Electron./Ind.; Appl. Jt. Chapter; IEEE Malaysia
Power and Energy Chapter
Conference name: 2012 IEEE Colloquium on Humanities, Science and Engineering Research, CHUSER 2012
Conference date: 3 December 2012 through 4 December 2012
Conference location: Kota Kinabalu, Sabah
Conference code: 96849
ISBN: 9781467346153
DOI: 10.1109/CHUSER.2012.6504340
Language of Original Document: English
Abbreviated Source Title: CHUSER - IEEE Colloq. Humanit., Sci. Eng. Res.
Document Type: Conference Paper
Source: Scopus
Mohammady, M.a , Pourghasemi, H.R.a , Pradhan, B.b c
Landslide susceptibility mapping at Golestan Province, Iran: A comparison between frequency ratio, Dempster-
Shafer, and weights-of-evidence models
(2012) Journal of Asian Earth Sciences, 61, pp. 221-236. Cited 18 times.
a Department of Watershed Management Engineering, College of Natural Resources and Marine Sciences, Tarbiat
Modares University (TMU), Iran b Geospatial Information Science Research Centre (GISRC), University Putra Malaysia, 43400 Serdang, Selangor,
Malaysia c Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia, 43400 Serdang, Selangor,
Malaysia
Abstract The purpose of the present study is to investigate the landslide susceptibility mapping using three statistical models
such as frequency ratio, Dempster-Shafer, and weights-of-evidence at southern part of Golestan province. At first,
landslide locations were identified from the interpretation of aerial photographs, and field surveys. A total of 392
landslides were mapped in GIS out of which 275 (70%) locations were chosen for the modeling purpose and the
remaining 118 (30%) cases were used for the model validation. Then layers of the landslide conditioning factors
were prepared. The relationship between the conditioning factors and the landslides were calculated using three
models. For verification, the results were compared with landslides which were not used during the training of the
models. Subsequently, the ROC (Receiver operating characteristic) curves and area under the curves (AUC) for
three landslide susceptibility maps were constructed and the areas under curves were assessed for validation
purpose. The validation results showed that the area under the curve for frequency ratio, Dempster-Shafer, and
weights-of-evidence models are 0.8013 (80.13%), 0.7832 (78.32%), and 0.7460 (74.60%) with prediction accuracy
0.7516 (75%), 0.7396 (73%), and 0.6998 (69%) respectively. The results revealed that frequency ratio model has
higher AUC than the other models. In general, all the three models produced reasonable accuracy. The resultant
maps would be useful for general land use planning. © 2012 Elsevier Ltd.
Author Keywords Dempster-Shafer; Frequency ratio; Geographic information systems (GIS); Iran; Landslides; Remote
sensing; Weights-of-evidence
Index Keywords accuracy assessment, aerial photograph, GIS, land use planning, landslide, mapping method, numerical
model, remote sensing, statistical analysis; Golestan, Iran
References
Akgun, A., Bulut, F.
GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region
(2007) Environmental Geology, 51, pp. 1377-1387.
Akgun, A., Needet, T.
Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multi criteria decision
analysis
(2010) Environmental Earth Sciences, 61, pp. 595-611.
Akgun, A., Turk, N.
Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multi-criteria decision
analysis
(2010) Environmental Earth Sciences, 61, pp. 595-611.
Akgun, A., Serhat, D., Fikri, B.
Landslide susceptibility mapping for a landslide-prone area (Findikli, NE of Turkey) by likelihood-frequency
ratio and weighted linear combination models
(2008) Environmental Geology, 54, pp. 1127-1143.
Akgun, A., Kincal, C., Pradhan, B.
Application of remote sensing data and GIS for landslide risk assessment as an environmental threat to Izmir
city (West Turkey)
(2011) Environmental Monitoring and Assessment,
Akgun, A., Sezer, E.A., Nefeslioglu, H.A., Gokceoglu, C., Pradhan, B.
An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani
fuzzy algorithm
(2012) Computers & Geosciences, 38 (1), pp. 23-34.
Althuwaynee, O.F., Pradhan, B., Lee, S.
Application of an evidential belief function model in landslide susceptibility mapping
(2012) Computers & Geosciences, 44, pp. 120-135.
Ayalew, L., Yamagishi, H.
The Application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko
Mountains, central Japan
(2005) Geomorphology, 65, pp. 15-31.
Bai, S., Lu, G., Wang, J., Zhou, P., Ding, L.
GIS-based rare events logistic regression for landslide-susceptibility mapping of Lianyungang, China
(2010) Environmental Earth Sciences, 62 (1), pp. 139-149.
Bednarik, M., Magulova, B., Matys, M., Marschalko, M.
Landslide susceptibility assessment of the Kraovany-Liptovski Mikulas railway case study
(2010) Physics and Chemistry of the Earth, Parts A/B/C, 35 (3-5), pp. 162-171.
Bednarik, M., Yilmaz, I., Marschalko, M.
Landslide hazard and risk assessment: a case study from the Hlohovec-Sered landslide area in south-west
Slovakia
(2012) Natural Hazards,
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Bonham-Carter, G.F., Agterberg, F.P., Wright, D.F.
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Bui, D., Lofman, O., Revhaug, I., Dick, O.
Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic
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Correspondence Address
Pradhan B.; Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia, 43400 Serdang,
Selangor, Malaysia; email: [email protected]
ISSN: 13679120
DOI: 10.1016/j.jseaes.2012.10.005
Language of Original Document: English
Abbreviated Source Title: J. Asian Earth Sci.
Document Type: Article
Source: Scopus
Süzen, M.L.a , Kaya, B.Ş.a b
Evaluation of environmental parameters in logistic regression models for landslide susceptibility mapping
(2012) International Journal of Digital Earth, 5 (4), pp. 338-355. Cited 5 times.
a Geological Engineering Department, Middle East Technical University, Ankara, Turkey b Division of Engineering, Colorado School of Mines, Golden, CO, United States
Abstract The aim of this study was to determine how well the landslide susceptibility parameters, obtained by data-
dependent statistical models, matched with the parameters used in the literature. In order to achieve this goal, 20
different environmental parameters were mapped in a well-studied landslide-prone area, the Asarsuyu catchment in
northwest Turkey. A total of 4400 seed cells were generated from 47 different landslides and merged with different
attributes of 20 different environmental causative variables into a database. In order to run a series of logistic
regression models, different random landslide-free sample sets were produced and combined with seed cells.
Different susceptibility maps were created with an average success rate of nearly 80%. The coherence among the
models showed spatial correlations greater than 90%. Models converged in the parameter selection peculiarly, in
that the same nine of 20 were chosen by different logistic regression models. Among these nine parameters,
lithology, geological structure (distance/density), landcover-landuse, and slope angle were common parameters
selected by both the regression models and literature. Accuracy assessment of the logistic models was assessed by
absolute methods. All models were field checked with the landslides resulting from the 12 November 1999,
Kaynaşli Earthquake (Ms=7.2). © 2012 Taylor & Francis.
Author Keywords Asarsuyu; Geographical information systems (GIS); Landslide susceptibility; Logistic regression; Turkey
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Correspondence Address
Suzen M. L.; Geological Engineering Department, Middle East Technical University, Ankara, Turkey; email:
ISSN: 17538947
DOI: 10.1080/17538947.2011.586443
Language of Original Document: English
Abbreviated Source Title: Int. J. Digit. Earth
Document Type: Article
Source: Scopus
Pourghasemi, H.R.a , Mohammady, M.a , Pradhan, B.b
Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood
Basin, Iran
(2012) Catena, 97, pp. 71-84. Cited 31 times.
a Department of Watershed Management Engineering, College of Natural Resources and Marine Sciences, Tarbiat
Modares University, Mazandaran, Iran b Faculty of Engineering, Department of Civil Engineering, Spatial and Numerical Modeling Research Group,
University Putra Malaysia, 43400, UPM, Serdang, Selangor Darul Ehsan, Malaysia
Abstract Landslide susceptibility mapping is essential for land use planning and decision-making especially in the
mountainous areas. The main objective of this study is to produce landslide susceptibility maps at Safarood basin,
Iran using two statistical models such as an index of entropy and conditional probability and to compare the
obtained results. At the first stage, landslide locations were identified in the study area by interpretation of aerial
photographs and from field investigations. Of the 153 landslides identified, 105 (≈. 70%) locations were used for
the landslide susceptibility maps, while the remaining 48 (≈. 30%) cases were used for the model validation. The
landslide conditioning factors such as slope degree, slope aspect, altitude, lithology, distance to faults, distance to
rivers, distance to roads, topographic wetness index (TWI), stream power index (SPI), slope-length (LS), land use,
and plan curvature were extracted from the spatial database. Using these factors, landslide susceptibility and
weights of each factor were analyzed by index of entropy and conditional probability models. Finally, the ROC
(receiver operating characteristic) curves for landslide susceptibility maps were drawn and the areas under the
curve (AUC) were calculated. The verification results showed that the index of entropy model (AUC. =. 86.08%)
performed slightly better than conditional probability (AUC. =. 82.75%) model. The produced susceptibility maps
can be useful for general land use planning in the Safarood basin, Iran. © 2012 Elsevier B.V.
Author Keywords Conditional probability; GIS; Index of entropy; Landslide; Remote sensing; Susceptibility
Index Keywords aerial photograph, altitude, decision making, drainage basin, field survey, geomorphological mapping, GIS, land
use planning, landslide, lithology, model validation, mountain region, probability, remote sensing, slope
angle, slope dynamics; Iran, Mazandaran, Safarood Basin
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(2009) 2009 International Conference on Environmental Science and Information Application
Technology, pp. 83-85.
Correspondence Address
Pradhan B.; Faculty of Engineering, Department of Civil Engineering, Spatial and Numerical Modeling Research
Group, University Putra Malaysia, 43400, UPM, Serdang, Selangor Darul Ehsan, Malaysia; email:
ISSN: 03418162
CODEN: CIJPD
DOI: 10.1016/j.catena.2012.05.005
Language of Original Document: English
Abbreviated Source Title: Catena
Document Type: Article
Source: Scopus
Xu, C.a b , Xu, X.a , Dai, F.b , Saraf, A.K.c
Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008
Wenchuan earthquake in China
(2012) Computers and Geosciences, 46, pp. 317-329. Cited 31 times.
a Key Laboratory of Active tectonics and Volcano, Institute of Geology, China Earthquake Administration, Beijing
100029, China b Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China c Department of Earth Sciences, Indian Institute of Technology Roorkee, Roorkee 247667, India
Abstract The main purpose of this study is to compare the following six GIS-based models for susceptibility mapping of
earthquake triggered landslides: bivariate statistics (BS), logistic regression (LR), artificial neural networks (ANN),
and three types of support vector machine (SVM) models that use the three different kernel functions linear,
polynomial, and radial basis. The models are applied in a tributary watershed of the Fu River, a tributary of the
Jialing River, which is part of the area of China affected by the May 12, 2008 Wenchuan earthquake. For this
purpose, eleven thematic data layers are used: landslide inventory, slope angle, aspect, elevation, curvature,
distance from drainages, topographic wetness index (TWI), distance from main roads, distance from surface
rupture, peak ground acceleration (PGA), and lithology. The data layers were specifically constructed for analysis
in this study. In the subsequent stage of the study, susceptibility maps were produced using the six models and the
same input for each one. The validations of the resulting susceptibility maps were performed and compared by
means of two values of area under curve (AUC) that represent the respective success rates and prediction rates. The
AUC values obtained from all six results showed that the LR model provides the highest success rate (AUC=80.34)
and the highest prediction rate (AUC=80.27). The SVM (radial basis function) model generates the second-highest
success rate (AUC=80.302) and the second-highest prediction rate (AUC=80.151), which are close to the value
from the LR model. The results using the SVM (linear) model show the lowest AUC values. The AUC values from
the SVM (linear) model are only 72.52 (success rates) and 72.533 (prediction rates). Furthermore, the results also
show that the radial basis function is the most appropriate kernel function of the three kernel functions applied
using the SVM model for susceptibility mapping of earthquake triggered landslides in the study area. The paper
also provides a counter-example for the widely held notion that validation performances of the results from
application of the models obtained from soft computing techniques (such as ANN and SVM) are higher than those
from applications of LR and BA models. © 2012 Elsevier Ltd.
Author Keywords Artificial neural networks; Bivariate statistics; Earthquake triggered landslides; Landslide susceptibility
mapping; Logistic regression; Support vector machine
Index Keywords BA model, Bivariate, Data layer, Kernel function, Landslide susceptibility mapping, Logistic regressions, Main
roads, Peak ground acceleration, Prediction rate, Radial basis, Radial basis functions, Slope angles, Softcomputing
techniques, Study areas, Surface ruptures, Susceptibility mapping, Susceptibility maps, SVM model, Thematic
data, Topographic wetness index, Tributary watersheds, Wenchuan Earthquake;
Earthquakes, Forecasting, Landslides, Lithology, Logistics, Mapping, Neural networks, Radial basis function
networks, Regression analysis, Soft computing; Support vector machines; artificial neural network, comparative
study, earthquake trigger, GIS, landslide, mapping method, modeling, regression analysis, Sichuan earthquake
2008, tributary, watershed; China, Fu River, Hubei
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Correspondence Address
Xu X.; Key Laboratory of Active tectonics and Volcano, Institute of Geology, China Earthquake Administration,
Beijing 100029, China; email: [email protected]
ISSN: 00983004
CODEN: CGEOD
DOI: 10.1016/j.cageo.2012.01.002
Language of Original Document: English
Abbreviated Source Title: Comput. Geosci.
Document Type: Article
Source: Scopus
Pourghasemi, H.R.a , Pradhan, B.b , Gokceoglu, C.c
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watershed, Iran
(2012) Natural Hazards, 63 (2), pp. 965-996. Cited 44 times.
a Department of Watershed Management Engineering, College of Natural Resources and Marine Sciences, Tarbiat
Modares University (TMU), Tehran, Iran b Faculty of Engineering, Institute of Advanced Technology (ITMA), Spatial and Numerical Modeling Research
Group, University Putra Malaysia (UPM), 43400 Serdang, Selangor Darul Ehsan, Malaysia c Engineering Faculty, Applied Geology Division, Department of Geological Engineering, Hacettepe University,
Ankara, Turkey
Abstract The main goal of this study is to produce landslide susceptibility maps of a landslide-prone area (Haraz) in Iran by
using both fuzzy logic and analytical hierarchy process (AHP) models. At first, landslide locations were identified
by aerial photographs and field surveys, and a total of 78 landslides were mapped from various sources. Then, the
landslide inventory was randomly split into a training dataset 70 % (55 landslides) for training the models and the
remaining 30 % (23 landslides) was used for validation purpose. Twelve data layers, as the landslide conditioning
factors, are exploited to detect the most susceptible areas. These factors are slope degree, aspect, plan curvature,
altitude, lithology, land use, distance from rivers, distance from roads, distance from faults, stream power index,
slope length, and topographic wetness index. Subsequently, landslide susceptibility maps were produced using
fuzzy logic and AHP models. For verification, receiver operating characteristics curve and area under the curve
approaches were used. The verification results showed that the fuzzy logic model (89. 7 %) performed better than
AHP (81. 1 %) model for the study area. The produced susceptibility maps can be used for general land use
planning and hazard mitigation purpose. © 2012 Springer Science+Business Media B.V.
Author Keywords AHP; Fuzzy logic; GIS; Haraz; Iran; Landslide; Remote sensing; Susceptibility mapping
Index Keywords aerial photography, analytical hierarchy process, fuzzy mathematics, GIS, hazard assessment, land use
planning, landslide, mapping, remote sensing; Iran
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Correspondence Address
Pradhan B.; Faculty of Engineering, Institute of Advanced Technology (ITMA), Spatial and Numerical Modeling
Research Group, University Putra Malaysia (UPM), 43400 Serdang, Selangor Darul Ehsan, Malaysia; email:
ISSN: 0921030X
DOI: 10.1007/s11069-012-0217-2
Language of Original Document: English
Abbreviated Source Title: Nat. Hazards
Document Type: Article
Source: Scopus
Saksa, M.a , Minár, J.b c
Assessing the natural hazard of gully erosion through a Geoecological Information System (GeIS): A case study
from the Western Carpathians
(2012) Geografie-Sbornik CGS, 117 (2), pp. 152-169. Cited 1 time.
a Soil Science and Conservation Research Institute, Gagarionova 10, 82 13 Bratislava 2, Slovakia b Department of Physical Geography and Geoecology, Comenius University in Bratislava, Faculty of Natural
Sciences, Mlynská dolina 1, 842 15 Bratislava 4, Slovakia c Department of Physical Geography and Geoecology, University of Ostrava, Faculty of Science, Chittussiho 10,
710 00 Ostrava - Slezská Ostrava, Czech Republic
Abstract The development of gullies represents a specific type of fluvial erosion that is triggered when surface runoff
becomes concentrated during extreme rainfall events. This study investigates a part of the Povazske' Valley and
Strážovské Mountains in Slovakia to assess the potential susceptibility and gully erosion hazard using a
Geoecological Information System (GelS). The landscape of the area was studied through primary field research
and the analysis of secondary materials. The GelS was then constructed in order to undertake specific
multidimensional statistical methods. These were used to assess the potential susceptibly and gully erosion hazard.
Those areas with the greatest potential susceptibility occur in Butkovska Furrow and the Podmaninska Hills whilst
those with the least potential susceptibility occur in Butkovska Klippes and the Tren6ianska Upland. The greatest
gully erosion hazard was identified on arable land in the Podmaninska Hills and on the river terraces in the Ilavska
Basin. It is clear that the majority of the permanent gullies within the study area are controlled by the course of
existing anthropogenic linear features such as unpaved field and forest roads and balks in arable land.
Author Keywords Abiocomplex; Geoecological information system; Gully erosion; Multidimensional statistical methods; Natural
hazard; Western carpathians
Index Keywords arable land, fieldwork, gully erosion, human activity, klippe, natural hazard, precipitation intensity, river
terrace, road, runoff; Carpathians, Slovakia, Strazovske Mountains, Trenciansky, Western Carpathians
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Correspondence Address
Saksa M.; Soil Science and Conservation Research Institute, Gagarionova 10, 82 13 Bratislava 2, Slovakia; email:
ISSN: 12120014
Language of Original Document: English
Abbreviated Source Title: Geogr. Sb. CGS
Document Type: Article
Source: Scopus
Althuwaynee, O.F.a , Pradhan, B.a , Lee, S.b
Application of an evidential belief function model in landslide susceptibility mapping
(2012) Computers and Geosciences, 44, pp. 120-135. Cited 41 times.
a Faculty of Engineering, Spatial and Numerical Modelling Laboratory, Dept. of Civil Engineering, University
Putra Malaysia, Serdang, Selangor Darul Ehsan 43400, Malaysia b Korea Institute of Geoscience and Mineral Resources (KIGAM), 92, Gwahang-no, Yuseong-Gu, Daejeon 305-
350, South Korea
Abstract The objective of this paper is to exploit the potential application of an evidential belief function model to landslide
susceptibility mapping at Kuala Lumpur city and surrounding areas using geographic information system (GIS). At
first, a landslide inventory map was prepared using aerial photographs, high resolution satellite images and field
survey. A total 220 landslides were mapped and an inventory map was prepared. Then the landslide inventory was
randomly split into a testing dataset 70% (153 landslides) and remaining 30% (67 landslides) data was used for
validation purpose. Fourteen landslide conditioning factors such as slope, aspect, curvature, altitude, surface
roughness, lithology, distance from faults, ndvi (normalized difference vegetation index), land cover, distance from
drainage, distance from road, spi (stream power index), soil type, precipitation, were used as thematic layers in the
analysis. The Dempster-Shafer theory of evidence model was applied to prepare the landslide susceptibility maps.
The validation of the resultant susceptibility maps were performed using receiver operating characteristics (ROC)
and area under the curve (AUC). The validation results show that the area under the curve for the evidential belief
function (the belief map) model is 0.82 (82%) with prediction accuracy 0.75 (75%). The results of this study
indicated that the EBF model can be effectively used in preparation of landslide susceptibility maps. © 2012
Elsevier Ltd.
Author Keywords EBF model; GIS; Kuala lumpur; Landslide susceptibility; Malaysia; Remote sensing
Index Keywords Aerial Photographs, Area under the curves, Belief function, Data sets, Dempster-shafer theory of evidence, Field
surveys, High resolution satellite images, Kuala lumpur, Land cover, Landslide susceptibility, Landslide
susceptibility mapping, Malaysia, Normalized difference vegetation index, Potential applications, Prediction
accuracy, Receiver operating characteristics, Soil types, Stream power index, Susceptibility maps, Thematic
layers, Validation results; Factor analysis, Geographic information systems, Lithology, Remote sensing, Statistical
tests, Surface roughness, Uncertainty analysis; Landslides; accuracy assessment, aerial photograph, altitude, field
survey, GIS, landslide, lithology, mapping, model test, model validation, numerical model, satellite imagery, slope
angle, surface roughness; Kuala Lumpur [Kuala Lumpur (ADS)], Kuala Lumpur [West Malaysia], Malaysia, West
Malaysia
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Correspondence Address
Pradhan B.; Faculty of Engineering, Spatial and Numerical Modelling Laboratory, Dept. of Civil Engineering,
University Putra Malaysia, Serdang, Selangor Darul Ehsan 43400, Malaysia; email: [email protected]
ISSN: 00983004
CODEN: CGEOD
DOI: 10.1016/j.cageo.2012.03.003
Language of Original Document: English
Abbreviated Source Title: Comput. Geosci.
Document Type: Article
Source: Scopus
Turk, T.a , Gümüşay, U.b , Tatar, O.c
Creating infrastructure for seismic microzonation by Geographical Information Systems (GIS): A case study in the
North Anatolian Fault Zone (NAFZ)
(2012) Computers and Geosciences, 43, pp. 167-176. Cited 5 times.
a Department of Geomatics, Faculty of Engineering, Cumhuriyet University, 58140 Sivas, Turkey b Department of Geomatics, Faculty of Civil Engineering, Yildiz Technical University, 34220 Davutpaşa, Istanbul,
Turkey c Department of Geology, Faculty of Engineering and Architecture, Çanakkale Onsekiz Mart University, 17020
Çanakkale, Turkey
Abstract Although there are many studies for seismic microzonation in the literature, these studies have not covered the
whole seismic microzonation processes. Moreover, they have not sufficiently focused on the important subjects,
such as significance and use of aerial photos in seismic microzonation studies, data types used for seismic
microzonation, and integrating these data by GIS. This study suggests a GIS-based model that can be used for all
settlements that are at risk of natural disaster, with a view to taking necessary measures against such natural
disasters (especially earthquakes). This model was applied so as to take the measures needed for the town of Erbaa
located on the western part of the eastern segments of the North Anatolian Fault Zone (NAFZ), a settlement with
earthquake risk on the NAFZ. During creation of the system, geological, geotechnical data and data produced from
aerial photos were integrated and assessed on a GIS environment. The infrastructure for seismic microzonation was
created using this model. The potential areas for soil liquefaction were detected in the study area. Thus, the results
were produced to assist in seismic microzonation. © 2011 Elsevier Ltd.
Author Keywords GIS; North Anatolian Fault Zone; Photogrammetry; Seismic microzonation; Spatiotemporal analysis
Index Keywords Aerial photos, Data type, Earthquake risk, Geographical information systems, Geotechnical data, Natural
disasters, North Anatolian Fault Zone, Seismic microzonation, Spatiotemporal analysis, Study areas; Aerial
photography, Disasters, Earthquakes, Faulting, Photogrammetry, Soil liquefaction; Geographic information
systems; data processing, earthquake, fault zone, GIS, liquefaction, natural disaster, numerical
model, photogrammetry, risk assessment, seismic zone, soil, spatiotemporal analysis; Erbaa, Tokat, Turkey
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Correspondence Address
Turk T.; Department of Geomatics, Faculty of Engineering, Cumhuriyet University, 58140 Sivas, Turkey; email:
ISSN: 00983004
CODEN: CGEOD
DOI: 10.1016/j.cageo.2011.10.006
Language of Original Document: English
Abbreviated Source Title: Comput. Geosci.
Document Type: Article
Source: Scopus
Akgun, A.a , Sezer, E.A.b , Nefeslioglu, H.A.c , Gokceoglu, C.d , Pradhan, B.e
An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani
fuzzy algorithm
(2012) Computers and Geosciences, 38 (1), pp. 23-34. Cited 41 times.
a Middle East Technical University, Mining Engineering Department, Ankara, Turkey b Hacettepe University, Computer Engineering Department, 06800 Beytepe, Ankara, Turkey c General Directorate of Mineral Research and Exploration, Department of Geological Research, 06520 Balgat,
Ankara, Turkey d Hacettepe University, Geological Engineering Department, 06800 Beytepe, Ankara, Turkey e Institute of Advanced Technology, Spatial and Numerical Modelling Laboratory, University Putra Malaysia,
43400 Serdang, Malaysia
Abstract In this study, landslide susceptibility mapping using a completely expert opinion-based approach was applied for
the Sinop (northern Turkey) region and its close vicinity. For this purpose, an easy-to-use program, "MamLand,"
was developed for the construction of a Mamdani fuzzy inference system and employed in MATLAB. Using this
newly developed program, it is possible to construct a landslide susceptibility map based on expert opinion. In this
study, seven conditioning parameters characterising topographical, geological, and environmental conditions were
included in the FIS. A landslide inventory dataset including 351 landslide locations was obtained for the study area.
After completing the data production stage of the study, the data were processed using a soft computing approach,
i.e., a Mamdani-type fuzzy inference system. In this system, only landslide conditioning data were assessed, and
landslide inventory data were not included in the assessment approach. Thus, a file depicting the landslide
susceptibility degrees for the study area was produced using the Mamdani FIS. These degrees were then exported
into a GIS environment, and a landslide susceptibility map was produced and assessed in point of statistical
interpretation. For this purpose, the obtained landslide susceptibility map and the landslide inventory data were
compared, and an area under curve (AUC) obtained from receiver operating characteristics (ROC) assessment was
carried out. From this assessment, the AUC value was found to be 0.855, indicating that this landslide
susceptibility map, which was produced in a data-independent manner, was successful. © 2011 Elsevier Ltd.
Author Keywords Geographical Information Systems (GIS); Landslide susceptibility; Mamdani fuzzy inference system; Sinop
(Turkey)
Index Keywords Assessment approaches, Data production, Data sets, Environmental conditions, Expert opinion, Fuzzy
algorithms, Fuzzy inference systems, Geographical information systems, Inventory data, Landslide
susceptibility, Landslide susceptibility mapping, Mamdani, MATLAB program, Receiver operating
characteristics, Sinop (Turkey), Statistical interpretation, Study areas; Algorithms, Fuzzy inference, Fuzzy
sets, Fuzzy systems, Geographic information systems, MATLAB, Rating, Soft computing; Landslides; assessment
method, data set, environmental conditions, fuzzy mathematics, geological mapping, GIS, landslide, topographic
mapping; Sinop [Turkey], Turkey
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Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their
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Correspondence Address
Gokceoglu C.; Hacettepe University, Geological Engineering Department, 06800 Beytepe, Ankara, Turkey; email:
ISSN: 00983004
CODEN: CGEOD
DOI: 10.1016/j.cageo.2011.04.012
Language of Original Document: English
Abbreviated Source Title: Comput. Geosci.
Document Type: Article
Source: Scopus
Krejsa, M.
Stochastic modelling of fatigue crack progression using the DOProC method
(2012) Civil-Comp Proceedings, 99, . Cited 6 times.
Department of Structural Mechanics, Faculty of Civil Engineering, VSB - Technical University Ostrava, Czech
Republic
Abstract The objective of this paper is to indicate the current scope which might be covered by the new method - direct
optimized probabilistic calculation ("DOProC") in assessments of reliability of load carrying structures. DOProC
uses a purely numerical approach without any simulation techniques. This provides more accurate solutions to
probabilistic tasks, and, in some cases, such approach results in considerably faster completion of computations.
DOProC can be used now to solve efficiently a number of probabilistic computations. One part of theoretical
science and practice according probabilistic concept of DOProC method is focused on the probabilistic calculation
of fatigue crack propagation of structures and bridges subject to fatigue stress. Solution leads to the probabilities of
three basic random events in dependence on years of structure's operation and fatigue crack propagation. On the
basis of that calculation for each individual year, determined by analysis of reliability function, the dependence of
the failure probability on time of the bridge's operation is specified. When the limit reliability is known, it is
possible to determine times of the structure's inspections using conditional probability. © Civil-Comp Press, 2012.
Author Keywords Direct optimized probabilistic calculation; DOProC; Fatigue crack propagation; Inspection of
structure; Probability of failure; Random variable
Index Keywords Fatigue crack propagation, Random variables, Reliability analysis; Conditional probabilities, DOProC, Load-
carrying structure, Numerical approaches, Probabilistic computation, Probability of failure, Reliability
functions, Simulation technique; Cracks
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Correspondence Address
Krejsa M.; Department of Structural Mechanics, Faculty of Civil Engineering, VSB - Technical University
OstravaCzech Republic
Sponsors:
Publisher: Civil-Comp Press
Conference name: 11th International Conference on Computational Structures Technology, CST 2012
Conference date: 4 September 2012 through 7 September 2012
Conference location: Dubrovnik
Conference code: 102644
ISBN: 9781905088546
DOI: 10.4203/ccp.99.113
Language of Original Document: English
Abbreviated Source Title: Civil-Comp Proc.
Document Type: Conference Paper
Source: Scopus
Ozdemir, A.
Landslide susceptibility mapping using Bayesian approach in the Sultan Mountains (Akşehir, Turkey)
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Department of Geological Engineering, Selcuk University, Konya, Turkey
Abstract Landslides cause heavy damage to property and infrastructure, in addition to being responsible for the loss of
human lives in many parts of the Turkey. The paper presents GIS-based spatial data analysis for landslide
susceptibility mapping in the regions of the Sultan Mountains, West of Akşehir, and central part of Turkey.
Landslides occur frequently in the area and seriously affect local living conditions. Therefore, spatial analysis of
landslide susceptibility in the Sultan Mountains is important. The relationships between landslide distributions with
the 19 landslide affecting parameters were analysed using a Bayesian model. In the study area, 90 landslides were
observed. The landslides were randomly subdivided into 80 training landslides and 10 test landslides. A landslide
susceptibility map was produced by using the training landslides. The test landslides were used in the accuracy
control of the produced landslide susceptibility map. Approximately 9% of the study area was classified as high
susceptibility zone. Medium, low and very low susceptibility zones covered 8, 23 and 60% of the study area,
respectively. Most of the locations of the observed landslides actually fall into moderate (17.78%) and high (77.78.
%) susceptibility zones of the produced landslide susceptibility map. This validates the applicability of proposed
methods, approaches and the classification scheme. The high susceptibility zone is along both sides of the Akşehir
Fault and at the north-eastern slope of the Sultan Mountains. It was determined that the surface area of the Harlak
and Deresenek formations, which have attained lithological characteristics of clayey limestone with a broken and
separated base, and where area landslides occur, possesses an elevation of 1,100-1,600 m, a slope gradient of 25°-
35° and a slope aspect of 22. 5°-157. 5° facing slopes. © 2011 Springer Science+Business Media B.V.
Author Keywords GIS; Landslide; Susceptibility; The Sultan Mountains; Turkey; Weights of evidence
Index Keywords accuracy assessment, Bayesian analysis, GIS, landslide, limestone, mapping, slope dynamics, slope failure, spatial
analysis, spatial data; Aksehir, Konya [Turkey], Turkey
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Correspondence Address
Ozdemir A.; Department of Geological Engineering, Selcuk University, Konya, Turkey; email:
ISSN: 0921030X
DOI: 10.1007/s11069-011-9853-1
Language of Original Document: English
Abbreviated Source Title: Nat. Hazards
Document Type: Article
Source: Scopus
Bui, D.T., Lofman, O., Revhaug, I., Dick, O.
Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression
(2011) Natural Hazards, 59 (3), pp. 1413-1444. Cited 23 times.
Department of Mathematical Sciences and Technology, Norwegian University of Life Sciences, P.O. Box
5003IMT, 1432 Ås, Norway
Abstract The purpose of this study is to evaluate and compare the results of applying the statistical index and the logistic
regression methods for estimating landslide susceptibility in the Hoa Binh province of Vietnam. In order to do this,
first, a landslide inventory map was constructed mainly based on investigated landslide locations from three
projects conducted over the last 10 years. In addition, some recent landslide locations were identified from SPOT
satellite images, fieldwork, and literature. Secondly, ten influencing factors for landslide occurrence were utilized.
The slope gradient map, the slope curvature map, and the slope aspect map were derived from a digital elevation
model (DEM) with resolution 20 × 20 m. The DEM was generated from topographic maps at a scale of 1:25,000.
The lithology map and the distance to faults map were extracted from Geological and Mineral Resources maps.
The soil type and the land use maps were extracted from National Pedology maps and National Land Use Status
maps, respectively. Distance to rivers and distance to roads were computed based on river and road networks from
topographic maps. In addition, a rainfall map was included in the models. Actual landslide locations were used to
verify and to compare the results of landslide susceptibility maps. The accuracy of the results was evaluated by
ROC analysis. The area under the curve (AUC) for the statistical index model was 0.946 and for the logistic
regression model, 0.950, indicating an almost equal predicting capacity. © 2011 Springer Science+Business Media
B.V.
Author Keywords Hoa Binh province; Landslide susceptibility; Logistic regression; Statistical index
Index Keywords accuracy assessment, digital elevation model, fieldwork, geostatistics, landslide, regression analysis, satellite
imagery, SPOT, topographic mapping; Hoa Binh, Viet Nam
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Correspondence Address
Bui D. T.; Department of Mathematical Sciences and Technology, Norwegian University of Life Sciences, P.O.
Box 5003IMT, 1432 Ås, Norway; email: [email protected]
ISSN: 0921030X
DOI: 10.1007/s11069-011-9844-2
Language of Original Document: English
Abbreviated Source Title: Nat. Hazards
Document Type: Article
Source: Scopus
Park, S.a , Jeon, S.b , Kim, S.c , Choi, C.a
Prediction and comparison of urban growth by land suitability index mapping using GIS and RS in South Korea
(2011) Landscape and Urban Planning, 99 (2), pp. 104-114. Cited 14 times.
a Department of Geoinformatic Engineering, Pukyung National University, 599-1 Daeyeon3-Dong, Nam-Gu,
Busan 608-737, South Korea b Korea Adaptation Center for Climate Change, Korea Environment Institute, 290 Jinheung-Ro, Eunpyong-Gu,
Seoul 122-706, South Korea
c Department of Environmental Data and Information Office, Ministry of Environment Republic of Korea, 88
Gwanmoon-Ro, Gwacheon-Si, Gyeonggi-Do 427-729, South Korea
Abstract This study compares land suitability index (LSI) maps created using a geographic information system (GIS) with
frequency ratio (FR), analytical hierarchy process (AHP), logistic regression (LR), and artificial neural network
(ANN) approaches to forecasting urban land-use changes. Various social, political, topographic, and geographic
factors were used as predictors of land-use change, including elevation, slope, aspect, distance from roads and
urban areas, road ratio, land use, environmental score, and legal restrictions. Then, LSI maps were created using
FR, AHP, LR, and ANN approaches, and significance and correlation were examined among the models using
relative operating characteristic (ROC), overall accuracy, and kappa analyses. The ROC analyses gave results of
0.940, 0.937, 0.922, and 0.891 for the LR, FR, AHP, and ANN LSI maps, respectively. The highest correlation was
found between the LR and AHP LSI maps (0.816911), and the lowest correlation was between the ANN and FR
LSI maps (0.759701). The ANN approach produced the highest overall accuracy at 92.3%, followed by 91.74% for
FR, 89.12% for AHP, and 88.93% for LR. In the kappa analysis, the highest K̂ statistic was 45.38% for FR,
followed by 40.84% for ANN, 30 representing the city area, the ANN method had a relatively high value of
71.71%, and the FR, LR, and AHP methods had similar accuracies of 57.68, 55.05, and 54.31%, respectively.
These results indicate that the FR, AHP, LR, and ANN approaches produced similar LSI maps for Korea. © 2010
Elsevier B.V.
Author Keywords Analytical hierarchy process; Artificial neural network; Frequency ratio; Geographic information system; Land
suitability index map; Logistic regression
Index Keywords Analytical Hierarchy Process, Artificial Neural Network, Frequency ratios, Geographic information, Land
suitability, Logistic regression; Aspect ratio, Environmental regulations, Forestry, Geographic information
systems, Hierarchical systems, Information systems, Land use, Maps, Regression analysis, Roads and streets;
Neural networks; artificial neural network, comparative study, frequency analysis, GIS, land use
change, logistics, prediction, remote sensing, topographic mapping, urban growth; South Korea
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Correspondence Address
Park S.; Department of Geoinformatic Engineering, Pukyung National University, 599-1 Daeyeon3-Dong, Nam-
Gu, Busan 608-737, South Korea; email: [email protected]
ISSN: 01692046
CODEN: LUPLE
DOI: 10.1016/j.landurbplan.2010.09.001
Language of Original Document: English
Abbreviated Source Title: Landsc. Urban Plann.
Document Type: Article
Source: Scopus
Erik, N.Y., Yilmaz, I.
On the use of conventional and soft computing models for prediction of gross calorific value (GCV) of coal
(2011) International Journal of Coal Preparation and Utilization, 31 (1), pp. 32-59. Cited 1 time.
Faculty of Engineering, Department of Geological Engineering, Cumhuriyet University, Sivas, Turkey
Abstract Gross calorific value (GCV) is an important characteristic of coal and organic shale; the determination of GCV,
however, is difficult, time-consuming, and expensive and is also a destructive analysis. In this article, the use of
some soft computing techniques such as ANNs (artificial neural networks) and ANFIS (adaptive neuro-fuzzy
inference system) for predicting GCV (gross calorific value) of coals is described and compared with the
traditional statistical model of MR (multiple regression). This article shows that the constructed ANFIS models
exhibit high performance for predicting GCV. The use of soft computing techniques will provide new approaches
and methodologies in prediction of some parameters in investigations about the fuel. Copyright © Taylor & Francis
Group, LLC.
Author Keywords ANFIS; ANN; Coal; Gross calorific value; Multiple regression; Soft computing
Index Keywords Adaptive neuro-fuzzy inference system, ANFIS, ANFIS model, ANN, Artificial Neural Network, Destructive
analysis, Gross calorific value, Multiple regressions, New approaches, Soft computing models, Softcomputing
techniques, Statistical models; Calorific value, Coal industry, Forecasting, Fuzzy inference, Fuzzy neural
networks, Fuzzy systems, Metal analysis, Regression analysis, Soft computing; Coal
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Correspondence Address
Yilmaz I.; Faculty of Engineering, Department of Geological Engineering, Cumhuriyet University, 58140 Sivas,
Turkey; email: [email protected]
ISSN: 19392699
DOI: 10.1080/19392699.2010.534683
Language of Original Document: English
Abbreviated Source Title: Int. J. Coal Preparation Utilization
Document Type: Article
Source: Scopus
Altun, A.O., Yilmaz, I., Yildirim, M.
A short review on the surficial impacts of underground mining
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Cumhuriyet University, Department of Geological Engineering, Faculty of Engineering, 58140, Sivas, Turkey
Abstract Subsidence in terrains is one of the most serious geological hazards because they can effect slopes and damage
engineering structures, settlement areas, natural lakes, and allow infiltration of contaminant into the groundwater.
Causes of underground mining activities such as subsidence, slope deformation, etc. are very important problems
in most countries and these types of impacts are very well known in coal, metal and other types of mining. The
main aim of this article is to provide technical documentation of environmental impacts related to underground
mining, to discuss significant impacts on the environment and land-use during and/or after underground mining
projects. Identification, measuring and mitigation of the effect of underground mining activities for practitioners is
also aimed in this short review article. This short review article will also be important in order to better understand
the nature and magnitude of displacements that can affect surface infrastructure. © 2010 Academic Journals.
Author Keywords Collapse; Slope deformation; Subsidence; Surface; Underground mining
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Correspondence Address
Yilmaz I.; Cumhuriyet University, Department of Geological Engineering, Faculty of Engineering, 58140, Turkey;
email: [email protected]
ISSN: 19922248
Language of Original Document: English
Abbreviated Source Title: Sci. Res. Essays
Document Type: Review
Source: Scopus
Yilmaz, I.a , Erik, N.Y.a , Kaynar, O.b
Different types of learning algorithms of artificial neural network (ANN) models for prediction of gross calorific
value (GCV) of coals
(2010) Scientific Research and Essays, 5 (16), pp. 2242-2249. Cited 10 times.
a Department of Geological Engineering, Faculty of Engineering, Cumhuriyet University, 58140 Sivas, Turkey b Department of Management Information System, Cumhuriyet University, 58140 Sivas, Turkey
Abstract Correlations are very significant from earliest days, in some cases, it is essential as it is difficult to measure the
amount directly, and in other cases, it is desirable to ascertain the results with other tests through correlations. Soft
computing techniques are now being used as alternative statistical tools, and new techniques such as; artificial
neural networks, fuzzy inference systems, genetic algorithms, etc. and their hybrid forms have been employed for
developing of the predictive models to estimate the needed parameters, in the recent years. Determination of gross
calorific value (GCV) of coals is very important to characterize coal and organic shales; it is difficult, expensive,
time consuming and is a destructive analysis. In this paper, use of different learning algorithms of artificial neural
networks such as MLP, RBF (exact), RBF (k-means) and RBF (SOM) for prediction of GCV was described. As a
result of this paper, all models exhibited high performance for predicting GCV. Although the four different
algorithms of ANN have almost the same prediction capability, accuracy of MLP has relatively higher than other
models. The use of soft computing techniques will provide new approaches and methodologies in prediction of
some parameters in the investigations about the fuels. © 2010 Academic Journals.
Author Keywords ANN; Coal; Gross calorific value; MLP; RBF; Soft computing
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Correspondence Address
Yilmaz I.; Department of Geological Engineering, Faculty of Engineering, Cumhuriyet University, 58140 Sivas,
Turkey; email: [email protected]
ISSN: 19922248
Language of Original Document: English
Abbreviated Source Title: Sci. Res. Essays
Document Type: Article
Source: Scopus
Prakash, A., Lokhande, R.D., Singh, K.B.
Impact of rainfall on residual subsidence in old coal mine workings
(2010) Journal of Environmental Science and Engineering, 52 (1), pp. 75-80. Cited 1 time.
Central Institute of Mining and Fuel Research, CSER, Barwa Road, Dhanbad - 826 001, Jharkhand, India
Abstract Subsidence over old coal mine workings can not be avoided if the underground workings are not fully filled.
Existence of fire, illegal mining operation and seasonal impact (rainfall) aggravate proneness of subsidence over
old workings. This paper deals with the causative factors of subsidence over old workings and its relation with
rainfall with reference to Jharia and Raniganj Coalfields, India during the year 2007. The impact of subsidence has
also been dealt in this paper.
Author Keywords Coal mine; Jharia and raniganj coalfields; Mine workings; Rainfall; Subsidence
Index Keywords rain; article, coal mining, geographic and geological phenomena, human, India, sediment; Coal Mining, Geologic
Sediments, Geological Phenomena, Humans, India, Rain
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Correspondence Address
Prakash A.; Central Institute of Mining and Fuel Research, CSER, Barwa Road, Dhanbad - 826 001, Jharkhand,
India; email: [email protected]
ISSN: 0367827X
PubMed ID: 21114112
Language of Original Document: English
Abbreviated Source Title: J. Environ. Sci. Eng.
Document Type: Article
Source: Scopus
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