Flood hazard zonation using remote sensing, geographic information system, and analytic hierarchy process in the Bhagirathi River Basin, Uttarakhand, India

Aditya Kumar Varma, Anurag Dhote, Aneesh Mathew, Chinthu Naresh, Padala Raja Shekar
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Abstract

Floods are seen as a substantial environmental hazard. A flood hazard map is a crucial tool for evaluating regions vulnerable to flooding. This study seeks to identify flood-prone regions along the Bhagirathi River in the Uttarkashi and Tehri Garhwal districts of Uttarakhand. A hybrid approach utilizing remote sensing (RS) and geographic information system (GIS), in conjunction with the Analytical Hierarchy (AHP) Process, was implemented to delineate flood hazard zones within the study area. Seven parameters were selected for this purpose: drainage density, precipitation, slope, land use/land cover (LULC), distance from the river, soil type, and topographic wetness index (TWI). The thematic maps of the parameters were reclassified after ranks were assigned to different classes. AHP was employed to construct a pairwise comparison matrix for all parameters to ascertain the relative weight of each parameter. A weighted overlay analysis was performed by combining reclassified thematic layers with their respective AHP-derived weights to generate the flood hazard map (FHM) for the study area. The output is divided into five distinct flooding hazard zones: very high, high, moderate, low, and very low. The precision of these classifications was confirmed using the Receiver Operating Characteristic Curve (ROC) and Area Under the Curve (AUC). The findings revealed that the accuracy rate for AHP was 66.8 %. The study's findings can serve as a convenient resource to aid in the management and reduction of rescue operations on the banks of the Bhagirathi.
基于遥感、地理信息系统和层次分析法的印度北阿坎德邦Bhagirathi河流域洪水灾害区划
洪水被视为严重的环境危害。洪水灾害图是评估易受洪水影响地区的重要工具。这项研究旨在确定北阿坎德邦Uttarkashi和Tehri Garhwal地区的Bhagirathi河沿岸的洪水易发地区。利用遥感(RS)和地理信息系统(GIS)结合层次分析法(AHP)的混合方法,在研究区内划定洪水危险区。为此选择了7个参数:排水密度、降水、坡度、土地利用/土地覆盖(LULC)、与河流的距离、土壤类型和地形湿度指数(TWI)。在将等级分配给不同的类别后,对参数的主题图进行重新分类。采用层次分析法构建各参数的两两比较矩阵,确定各参数的相对权重。将重新分类的主题层与其各自的ahp权重相结合,进行加权叠加分析,生成研究区域的洪水灾害图(FHM)。产量被划分为五个不同的洪水危险区:非常高、高、中等、低和非常低。采用受试者工作特征曲线(ROC)和曲线下面积(AUC)证实了这些分类的准确性。结果表明,AHP的准确率为66.8% %。这项研究的结果可以作为一种方便的资源,帮助管理和减少对巴吉拉蒂河岸的救援行动。
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