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* HEC-HMS SCS-CN HEC-Geo-RAS HEC-HMS HEC-geo-RAS * نو ي سنده مسئول:[email protected]

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Page 2: HEC-HMS SCS-CN HEC-Geo-RAS HEC-geo-RAS HEC-HMS

HEC-HMS

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.

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– HEC-geo-RAS

Page 4: HEC-HMS SCS-CN HEC-Geo-RAS HEC-geo-RAS HEC-HMS

TMC1Landsat8

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Page 5: HEC-HMS SCS-CN HEC-Geo-RAS HEC-geo-RAS HEC-HMS

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Page 6: HEC-HMS SCS-CN HEC-Geo-RAS HEC-geo-RAS HEC-HMS

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Page 8: HEC-HMS SCS-CN HEC-Geo-RAS HEC-geo-RAS HEC-HMS

HEC-HMS

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– HEC-geo-RAS

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GIS

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12. Cowan W. L. 1956. Estimating hydraulic

roughness coefficients: Agricultural

Engineering. 37(7): p. 473-475.

13. James A. 1999. Time and the Persistenece of

Alluvim: River engineering, fluvial,

geomorphology, and mining sedmenti

California, Geomorphology. 31: 256-290.

14. Keble M. R. Yang Z. L. Hutchison K. and

Maidment D. R. 2005. Regional Scale Flood

Modeling using NEXRAD, Rainfall, GIS,

and HEC-HMS\RAS: A Case Study for the

San Antonio River Basin Summer 2002

Storm Event, Journal of Environmental

Management. 75: 325-336.

15. Koneti S. Sunkara S. E. and Roy P. S. 2018.

Hydrological Modeling with Respect to

Impact of Land-Use and Land-Cover

Change on the Runoff Dynamics in

Godavari River Basin Using the HEC-HMS

Model, International Journal of Geo-

Information. 7 1-17.

16. Mas J. F. Velazquez J. Gallegos D. Mayorga

Saucedo R. Alcantara C. Bocco G. Castro R.

Fernandez T. and Perez Vega A. 2004.

Assessing land use/cover changes: a

nationwide multi-date spatial database for

Mexico. International Journal of Applied

Earth Observation and Geo-Information. 32:

262-267.

17. Miller S. N. Kepner W. G. and Mehaffey M.

H. 2002. Integration Landscape Assessment

and Hydrologic Modeling for Land Cover

Change Analysis. Journal of 23- the

American Water Resources Association.

38(4): 919-929.

18. Pelletreau A. 2004. Pricing soil degradation

in uplands, the case of the Houay Pano

catchment, Lao PDR. Internship Report.

IRD-IWMI-NAFRI, Vientiane, Laos

appends. pp. 64.

19. Smith K. 1992. Environmental Hazards,

Assessing Risks and Reducing Disaster,

England: Routledge. pp. 254.

20. Suriya S. and Mudgal B. V. 2011. Impact of

urbanization on flooding: the Thirusoolam

sub watershed a case study. Journal of

Hydrology. 412: 210-219.

21. US Army Corps of Engineers. 2000.

Hydrologic modeling system HEC-HMS:

Technical Reference Manuals. Hydrologic

Engineering Center, USA.

22. Zope P. E. Eldho T. I. and Jothiprakash V.

2015. Impacts of urbanization on flooding of

a coastal urban catchment: a case study of

Mumbai City, India, Journal of Natural

Hazards. 75(1): 887-908.

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Research paper

The evaluation of land use changes on hydrological characteristics of Basins

and river flood plains (Case study: Kashkan basin in Lorestan province)

F. Geravand1, Sh. Mohamadkhan

*2, S. M. Hosseini

3 and P. Pirani

4

Extended Abstract

Land use change is one of the most important factors affecting runoff from the basin, which

changes the factors affecting water infiltration. According to the statistics collected by the

Forests Organization, from the beginning of 2011 to the first six months of 2015, 552 floods

occurred in Iran. Land use change is one of the important factors in changing hydrological

flow, basin erosion and biodiversity destruction. Lack of attention to land use change and

exploitation of natural resources due to disturbing the biological balance has been one of the

effective factors in increasing flood zones. Therefore, it is possible to take a step towards

equilibrium by knowing the trend of land use changes in order to lead ecosystems and

simulate the hydrological reaction of the watershed with less error. Mathematical models have

a great ability to estimate runoff and its flood plain and provide users with effective

information by recognizing the factors and parameters affecting the flood. Such models

provide the relevant managers and experts with considerable ability to manage the basin

before floods, and even crisis management and rescue during floods.

In this study, in order to investigate the effect of land use changes on hydrological

characteristics, for an approximate distances of 40 km from the Kashkan River in Lorestan

Province, first land use maps for 1989 and 2014 were extracted using satellite images of 5 and

8 June of the years 1989 (TMC1) and 2014 (Landsat8) with a spatial resolution of 30 m. Then, the number of the basin curve and lag time were measured using the help maps in order

to calculate the runoff height in the hydrological model. On the other hand, the runoff

precipitation simulation was performed through considerin other required parameters. In order

to correspond to the land use extraction periods, two normal periods related to 1989 and 2014

were selected for simulation. To evaluate the efficiency of the model in simulating daily flood

values, the coefficient of determination error criteria (R2), dispersion index (SI), volume error

percentage (V%), peak error value ( %), and error peak time ( ) were considered. In the

next step, in order to locate and adapt different land uses to flood plains in different return

periods; the flood maps of these zones were extracted in different return periods and placed on

land use change maps. And the area of land uses in different return periods was calculated for

the studied periods. In order to achieve this goal, the first step involves preparing input

information for HEC-RAS software. To prepare the required geometric layers of RAS and

calculate the flood plains, the TIN of the area from a 1:150 digital map (mapped by Lorestan

Regional Water Organization) was prepared and in order to achieve the peak discharge with

different return periods, two 18-year statistical periods (from 1972 to 1990 and from 1999 to

2017), and maximum instantaneous discharge of Doab Veysian hydrometric station were

used. The Manning coefficient was determined by using Cowan's (1956) method and

1- Ph.D. Student of Geomorphology, Department of Physical Geography, Faculty of Geography, University of Tehran, Tehran, Iran.

2- Associate Professor, Department of Physical Geography, Faculty of Geography, University of Tehran, Tehran, Iran.

3- Associate Professor, Department of Physical Geography, Faculty of Geography, University of Tehran, Tehran, Iran.4- Associate Professor, Department of Physical Geography, Faculty of Geography, University of Tehran, Tehran, Iran.

* Corresponding Author: [email protected]

Received: 2009/08/08 Accepted: 2010/11/11

Page 14: HEC-HMS SCS-CN HEC-Geo-RAS HEC-geo-RAS HEC-HMS

geometric data. This data includes obstacles and structures in flow path that obtains and

simulated in software. To analyze the flow in a steady way, the HEC-RAS software and HEC-

geo-RAS extension in Arc-GIS environment have been used. The EasyFit software has been

used to prepare peak discharges for different return periods.

The results of land use changes during the period of 1989-2014 have shown that the area of

land uses such as rangelands and forests has decreased and the area of land uses such as

wastelands and human structures has increased. As a result, the value of the calculated curve

number has increased from 45 to 68.4, and the lag time has increased from 41 to 24.3 mm,

which indicates the flooding of the basin. The area of different uses on the flood maps in the

period of different returns showed the residential areas in the new period compared to the old

period, which were flooded in the 50-year return period. They are now flooded due to increase

in the flood discharge and the development of rural areas along the river during a short 25-

year return period; Even the new farms in the river side is danger of flood in shorter period

such as 10-year.

Keywords: Hydrological components, HEC-HMS Model, HEC-geo-RAS Model, Kashkan

Basin, Land use, Runoff.

Citation: Geravand F. Mohamadkhan Sh. Hosseini S. M. and Pirani P. 2021. The evaluation of land use changes

on hydrological characteristics of Basins and river flood plains (Case study: Kashkan basin in Lorestan

province). Iranian Water Research Journal. 40: ??-??.