Analysis of Hydrological Sensitivity for Flood Risk Assessment
Analysis of Hydrological Sensitivity for Flood Risk Assessment
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DOI：
10.3390/ijgi7020051
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发表时间：
2018-02
期刊：
影响因子：
--
通讯作者：
S. Sharma;Y. Kwak;Rakesh Kumar;B. Sarma
中科院分区：
文献类型：
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作者：
S. Sharma;Y. Kwak;Rakesh Kumar;B. Sarma
为了使印度政府最大限度地实施水资源综合管理(IWRM)，雅鲁藏布江在试点流域研究(PBS)中发挥了重要作用，因为雅鲁藏布江每年都会发生区域性洪水。选定的库尔西河--雅鲁藏布江次流域的一部分--在2007年和2008年经历了严重的洪水。本研究采用降雨-径流-淹没(RRI)水文模型对近期历史洪水进行模拟，以了解和完善洪水风险综合管理方案。最终目的是评估不同数字高程模型(DEM)资源与DEM平滑技术相结合的水文模拟的敏感性，特别关注河流流量和洪水淹没程度的比较。结果表明，在输入参数中，RRI模型对曼宁的漫滩糙率系数值高度敏感，其次是DEM的来源，然后是土壤深度。对平滑滤池参数进行优化后，模拟的淹没程度表明，平滑滤池的影响大于其模拟的出水口流量。最后，经过校正和验证的RRI模型模拟与观测流量和中等成像光谱仪(MODIS)探测的洪水范围符合得很好。
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.