3d flow patterns at the river–aquifer interface - a case study at cikapundung watershed | asian...
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Introduction Methods Results Closing
3D flow patterns at the river–aquifer interface -a case study at Cikapundung watershed |
Asian Physics Symposium 2015
Darul A., Irawan, DE., Trilaksono, NJ.,Pratama, A., andPrabowo, K.
Institut Teknologi Bandung
Aug 19, 2015
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Introduction
Methods
Results
Closing
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Introduction
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Setting• geology and watershed map
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River and the city
Cikapundung river holds a very strategic role:
• water supply: WTP Dago Pakar = 40 L/sec• hydro power (since 1923): 3.7 MW from 2 power plants• main drain for the Bandung City
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Previous researches
• Lubis (1997):• map the interactions between GW-SW measuring only GW
and RW level• completely in analog mode• therefore can’t be used for prediction
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Previous map
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Water quality measurements (1980’s and late 2011)
• decreasing quality• increasing nutrients, some heavy minerals, and organic
matters
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BOD concentration
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COD concentration
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Arising issues
• high population (10,707 and still growing)• mostly lived at the riverbanks (196 ha)
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Methods
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Framework
• Base map was built using a total of 32 scenes ofWorldView-2 image, combined with Aster image.
• Model:• one layer model• elevation (Z) 50 to 2000 m, 361 rows (X) and 454 columns
(Y),• covering the area of 21.6 x 27.2 km2.
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Geology
• Volcanic breccias with K=10-6 m/sec; Ss=0.02; Sy=0.02;T=0.5
• Sand and clay intercalations with K=10-8 m/sec; Ss=3.3e-6;Sy=0.08; T=0.11
• Initial head were observed at: 19 dug wells, 24 river points,and two spring points in 2013.
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Model setup
• setting up grid system• correlation• aquifer geometry prediction
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Model grid
• One layer• Model size:
• 21.64 x 27.21 Km2• 361 column x 454 rows• Elevation -50 – 2000 mdpl.
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Geological transformation
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Color Rockred volcanic 1green volcanic 2yelow volcanic 3pink volcanic 4blue volcanic alluvium
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Samples
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• Total 45 observasi:• 19 well obs• 24 river obs• 2 spring obs
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Results
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3D conceptual model
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Model segments2
• The conceptual model successfully replicates the previousanalytical model
• The new model shows some local variations that was notspotted in the previous model.
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Closing
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Future directions
• Hopefully it can be the basis of a more quantitativeapproach to predict the interactions between groundwaterand river water along the stream.
• More analysis on the predictions:• water quality using multivariate analysis (cluster, PCA,
decision tree)• hydrological budget using R packages Hydromad (by
Joseph Guillaume) and Reservoir (by Sean Turner)
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Acknowledgements
• Research funding: ITB• Facility support: Groundwater Engineering Program (Head:
Agus Muhammad Ramdhan, Ph.D)• Data support: Dr. Bambang Sunarwan and Dr. R.F. Lubis
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• Field team: Irvan Febyanto, Wisnu Anugrah Pratama,Nugraha Suryakomara, dan Yoga Prasetyo
• Modeling reviewer: Janner Nababan, MT., AgathonChandra, MT., and Toddy Samuel, MT.
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Thank you
• This slides are made by R-Markdown syntax usingLATEXbackend
• Slides pdf are available at My Slideshare repo• Codes are available at My Github repo• @dasaptaerwin