Application of bivariate approaches for flood susceptibility mapping: a district level study in Eastern India

HydroResearch Pub Date : 2023-01-01 DOI:10.1016/j.hydres.2023.02.004

Madhurima Dutta , Sunil Saha , Nur Islam Saikh , Debabrata Sarkar , Prolay Mondal

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引用次数: 4

Abstract

The main objective of this present study is to prepare flood susceptibility mapping using bivariate approaches considering parameters such as rainfall, geomorphology, geology, soil, elevation, ground slope, curvature of the land, flow directions, stream density, distance from road, distance from river, land use land cover, topographic wetness index, normalized differentiate vegetation index and water index. Bivariate methods like Shannon's Entropy Index (SEI) and Weight of Evidence (WofE-IV) models have been used in conjunction with remote sensing and geographical information system and it was found that 17.77% (SEI) and 11.20% (WofE-IV) area of the district categorized as highly susceptible to flood especially found in the adjoining area of Tangon, Punarbhaba, and Atreyee rivers. Around 26–35% of the total area is safe from flood especially located in the Tapan and Banshihari block. The area under curve values (SEI = 0.954, WofE-IV = 0.913) shows that both models are performing well for flood susceptibility mapping.

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双变量方法在洪水易感性制图中的应用:印度东部地区一级的研究

本研究的主要目的是利用二元方法，考虑降雨、地貌、地质、土壤、高程、地面坡度、土地曲率、水流方向、河流密度、道路距离、河流距离、土地利用、土地覆盖、地形湿度指数、归一化分异植被指数和水指数等参数，编制洪水易感性图。将Shannon熵指数(SEI)和证据权重(wfe - iv)模型等二元方法与遥感和地理信息系统相结合，发现该区17.77% (SEI)和11.20% (wfe - iv)的面积被归为高易发洪涝区，特别是在毗邻的Tangon河、Punarbhaba河和Atreyee河。大约26-35%的总面积是安全的，特别是位于Tapan和Banshihari区块。曲线值下面积(SEI = 0.954, wfe - iv = 0.913)表明，两种模型均能较好地进行洪水敏感性映射。

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来源期刊

HydroResearch

CiteScore

9.20

自引率

0.00%

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