Flood susceptibility modeling using geo-morphometric ranking approach in Jhelum River basin, Pakistan

Mudasir Sohail, Shakeel Mahmood
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Abstract

This study is modeling flood susceptibility in Jhelum River Basin by employing Geo-Morphometric ranking approach. The study area is located in the Monsoon region and exposed to heavy rainfall events. Every year monsoon rainfall and melting of snow and glaciers together generate flash floods in the upper catchment and then riverine flood in the low-lying areas. Watershed modeling approach is used to delineate the Jhelum watershed and its sub-watershed. Advance Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) is utilized as input data in ArcMap software environment. Then Geo-Morphometric ranking model is applied to rank the susceptibility of each sub-watershed to flood. The analysis showed that geo-morphometric characteristics vary from basin to basin. There are 44 sub-basins which cover area less than 1000 ​km2. The area of sub-basins ranges from 47.68 ​km2 to 7667.77 ​km2. Based on our results, area of sub-basin directly impacts flood susceptibility. Geo-morphometric parameters such as gradient, relief and geology of basin such as type of bed rock govern the drainage pattern. The results of the study can assist line agencies and concerned government departments to design location specific flood risk reduction strategy.

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巴基斯坦杰赫勒姆河流域利用地貌排序法建立洪水易发性模型
本研究采用地貌排序法对杰赫勒姆河流域的洪水易发性进行建模。研究区域位于季风区,易受暴雨影响。每年季风降雨和积雪及冰川融化都会在上游集水区形成山洪,然后在低洼地区形成河流洪水。我们采用流域建模方法来划分杰赫勒姆流域及其次级流域。在 ArcMap 软件环境中,利用先进的空间热发射和反射辐射计(ASTER)全球数字高程模型(GDEM)作为输入数据。然后应用地貌排序模型对各子流域的洪水易感性进行排序。分析表明,不同流域的地貌特征各不相同。有 44 个子流域的面积小于 1000 平方公里。流域面积从 47.68 平方公里到 7667.77 平方公里不等。根据我们的研究结果,子流域面积直接影响洪水易发性。流域的地貌参数,如坡度、地势和地质,如基岩类型,都会影响排水模式。研究结果可帮助相关机构和政府部门设计针对具体地点的洪水风险降低战略。
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