Estimation of MFFPI for flood hazards assessment using geospatial technology in the Tawi Basin, India

Ajay Kumar Taloor , Savati Sharma , Divanshu Sharma , Rajesh Chib , Rakesh Jasrotia , Surbhi Gupta , Girish Ch Kothyari , Pankaj Mehta , Ravindra Vitthal Kale
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Abstract

>Flash flood in the Himalayan River has made some catastrophic effects on the life people residing in its river banks mainly associated with extreme rainfall events/cloud bursts/the collapse of moraine-dammed lakes which significantly leads to rapid flooding and subsequently disaster in low laying areas. In the present study, we used different equations to determine the flash flood potential index(FFPI) and further, an improved Modified Flash Flood Potential Index (MFFPI) equation has been used to estimate the area with a predisposition to water accumulation. Various thematic layers prepared in the Geographic Information System (GIS) environment and integrated by providing proper weightage to each thematic layer i.e., slope, profile curvature, soil texture, geology and Land Use Land Cover (LULC), flow accumulation, slope, and profile curvature, etc. The MFFPI equation-derived map of Tawi Basin is classified into five zones such as very high hazard (100.40 km2), high hazard (971.60 km2), medium hazard (92.78 km2), low hazard (634.03 km2) and the very low hazard (254.61 km2) areas. Further, the results of the MFFPI were validated with the Analytical Hierarchy Process (AHP) based flood hazard zonation results which shows a very high correlation and similar trends of spatial and areal distribution with the MFFPI. The results of this study are quite useful for the local administration for futuristic planning and management of flood hazards in the Tawi River Basin and many other basins of similar terrain around the world.

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利用地理空间技术估算印度塔维盆地洪水灾害评估的MFFPI
>;喜马拉雅河的山洪对居住在其河岸的人们的生活造成了一些灾难性影响,主要与极端降雨事件/云层爆发/冰碛堰塞湖的坍塌有关,这大大导致了洪水的迅速泛滥,随后在低洼地区发生灾难。在本研究中,我们使用了不同的方程来确定山洪潜在指数(FFPI),此外,还使用了一个改进的改良山洪潜在指数方程(MFFPI)来估计有积水倾向的区域。在地理信息系统(GIS)环境中准备的各种专题层,并通过为每个专题层提供适当的权重进行整合,即坡度、剖面曲率、土壤质地、地质和土地利用土地覆盖(LULC)、流量累积、坡度和剖面曲率等。MFFPI方程导出的塔维盆地地图分为五个区域,如极高危险区(100.40 km2)、高危险区(971.60 km2)、中等危险区(92.78 km2)、低危险区(634.03 km2)和极低危险区。此外,基于层次分析法(AHP)的洪水灾害区划结果验证了MFFPI的结果,该结果显示出与MFFPI高度相关的空间和区域分布趋势相似。这项研究的结果对当地政府未来规划和管理塔维河流域和世界各地许多其他类似地形的流域的洪水灾害非常有用。
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