Analysis of Hydrological Sensitivity for Flood Risk Assessment
- 1. National Institute of Hydrology, Centre for Flood Management Studies, Dispur, Assam 781-006, India
- 2. International Centre for Water Hazard and Risk Management (ICHARM) under the auspices of UNESCO, Public Works Research Institute (PWRI), 1-6 Minamihara, Tsukuba, Ibaraki 305-8516, Japan
- 3. Civil Engineering Department, Assam Engineering College, Guwahati 781-006, India
Description
In order for the Indian government to maximize Integrated Water Resource Management (IWRM), the Brahmaputra River has played an important role in the undertaking of the Pilot Basin Study (PBS) due to the Brahmaputra River's annual regional flooding. The selected Kulsi River—a part of Brahmaputra sub-basin—experienced severe floods in 2007 and 2008. In this study, the Rainfall-Runoff-Inundation (RRI) hydrological model was used to simulate the recent historical flood in order to understand and improve the integrated flood risk management plan. The ultimate objective was to evaluate the sensitivity of hydrologic simulation using different Digital Elevation Model (DEM) resources, coupled with DEM smoothing techniques, with a particular focus on the comparison of river discharge and flood inundation extent. As a result, the sensitivity analysis showed that, among the input parameters, the RRI model is highly sensitive to Manning's roughness coefficient values for flood plains, followed by the source of the DEM, and then soil depth. After optimizing its parameters, the simulated inundation extent showed that the smoothing filter was more influential than its simulated discharge at the outlet. Finally, the calibrated and validated RRI model simulations agreed well with the observed discharge and the Moderate Imaging Spectroradiometer (MODIS)-detected flood extents.
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Publication Details
Journal article
Persistent Identifiers
MAGID
2789725476
DOI
10.3390/ijgi7020051
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Funding
Financial Support
Japan Society for the Promotion of Science — Grant: 15H05136
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References
Rahimy . Effects of soil depth spatial variation on runoff simulation using the ...
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Cook . Effect of topographic data, geometric configuration and modeling approach...
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Kwak . A new approach to flood risk assessment in Asia-Pacific region based on M...
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Manfreda . Can the basin morphology alone provide an insight into floodplain del...
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Paiva . Large scale hydrologic and hydrodynamic modeling using limited data and ...
Read more
Showing first 5 of 19 references.