关键词: Analytical hierarchy process (AHP) Flood susceptibility Geographic information system (GIS) Hydro-morphometric modelling Multi-criteria decision support system Padma River Basin

Mesh : Floods Rivers Environmental Monitoring / methods Risk Assessment Geographic Information Systems Models, Theoretical

来  源:   DOI:10.1007/s10661-024-12780-2

Abstract:
An evaluation of flood vulnerability is needed to identify flood risk locations and determine mitigation methods. This research introduces an integrated method combining hydro-morphometric modeling and flood susceptibility mapping to assess Padma River Basin\'s flood risk. Flood zoning, flooding classes, and resource flood risk were explicitly analyzed in this river basin study. Flood risk was calculated using GIS-based hydro-morphometric modeling. Using Horton\'s and Strahler\'s methods, drainage density, stream density, and stream order of the Padma River Basin were determined. The Padma River Basin has five sub-basins: A, B, C, D, and E, with stream densities of 0.53 km-2, 0.13 km-2, 0.25 km-2, 0.30 km-2, and 0.28 km-2 and drainage densities of 0.63 km-1, 0.16 km-1, 0.29 km-1, 0.35 km-1, and 0.33 km-1, respectively. Sub-basin A is the most prone to floods due to its high stream and drainage density, whereas B and C are the least susceptible. This study used elevation, TWI, slope, precipitation, NDVI, distance from road, drainage density, distance from river, LU/LC, and soil type to create a flood vulnerability map incorporating GIS and AHP with pair-wise comparison matrix (PCM). The study\'s flood zoning shows that the northeastern part of this basin is more likely to flood than the southwestern part due to its elevation and high-order streams. Moderate River Flooding, the region\'s most hazardous flood class, covers 48.19% of the flooding area, including 1078.30 km2 of agricultural land, 94.86 km2 of bare soil, 486.39 km2 of settlements, 586.42 km2 of vegetation cover, and 39.34 km2 of water bodies. The developed hydro-morphometric model, the flood susceptibility map, and the analysis of this data may be utilized to offer long-term advance alarm insight into areas potentially to be invaded by a flood catastrophe, boosting hazard mitigation and planning.
摘要:
需要对洪水脆弱性进行评估,以确定洪水风险位置并确定缓解方法。本研究引入了一种结合水文形态计量模型和洪水敏感性图的综合方法来评估帕德玛河流域的洪水风险。洪水分区,洪水班,在这次流域研究中,对资源洪水风险进行了明确的分析。洪水风险是使用基于GIS的水文形态计量模型计算的。使用霍顿和斯特拉勒的方法,排水密度,流密度,并确定了帕德玛河流域的河流顺序。帕德玛河流域有五个子流域:A,B,C,D,E,河流密度为0.53km-2、0.13km-2、0.25km-2、0.30km-2和0.28km-2,排水密度为0.63km-1、0.16km-1、0.29km-1、0.35km-1和0.33km-1。次流域A由于其河流和排水密度高,是最容易发生洪水的地方,而B和C是最不敏感的。这项研究使用了高程,TWI,斜坡,降水,NDVI,距离道路,排水密度,距离河流,LU/LC,和土壤类型,以创建包含GIS和AHP以及成对比较矩阵(PCM)的洪水脆弱性图。研究的洪水分区表明,由于海拔和高阶河流,该盆地的东北部比西南部更容易发生洪水。中度河水泛滥,该地区最危险的洪水类别,占洪泛区面积的48.19%,包括1078.30平方公里的农业用地,94.86km2裸土,486.39平方公里的定居点,植被面积586.42km2,和39.34km2的水体。开发的水文形态计量模型,洪水敏感性图,对这些数据的分析可以用来提供对可能被洪水灾难入侵的地区的长期提前警报洞察,促进危害缓解和规划。
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