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<p>India’s climatic, geological, and terrain conditions make it extremely susceptible to natural hazards including floods. Flooding is a recurring disaster that occurs annually, causing significant damage to lives and property. The aims of present work are to assess the flood risk of Aurangabad district of Bihar, India, using an integrated approach. For this analysis, ten key influencing factors of flooding has been considered such as land use land cover (LULC), normalized difference vegetation index (NDVI), slope, drainage density, proximity to streams, topographic wetness index (TWI), geology, precipitation, groundwater depth, and soil texture. These parameters have been reclassified based on their potential to contribute flooding events. Subsequently, each reclassified parameter has been assigned a weight according to its impact on flooding and combined using a weighted overlay spatial analysis tool to generate the flood susceptibility map. The results reveal that 0.64% of the area falls under the highest flood susceptibility level (very high), 12.51% under high susceptibility, 51.69% under moderate susceptibility, 31.06% under low susceptibility, and 4.07% under the very low susceptibility category. The primary observation from this study provides very important data for understanding the flood dynamics of the area and further detail study for flood risk management and this approach can be used for any such terrains for flood zoning.</p>

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Flood risk assessment of Aurangabad, Middle Ganga plan, using geospatial data

  • 期刊论文

  • 发表日期：

    2025年9月2日

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  • Sumo Ranjan Mandal,
  • Kumar Ankit,
  • Prafull Singh,
  • Binod Kumar Singh

摘要

India’s climatic, geological, and terrain conditions make it extremely susceptible to natural hazards including floods. Flooding is a recurring disaster that occurs annually, causing significant damage to lives and property. The aims of present work are to assess the flood risk of Aurangabad district of Bihar, India, using an integrated approach. For this analysis, ten key influencing factors of flooding has been considered such as land use land cover (LULC), normalized difference vegetation index (NDVI), slope, drainage density, proximity to streams, topographic wetness index (TWI), geology, precipitation, groundwater depth, and soil texture. These parameters have been reclassified based on their potential to contribute flooding events. Subsequently, each reclassified parameter has been assigned a weight according to its impact on flooding and combined using a weighted overlay spatial analysis tool to generate the flood susceptibility map. The results reveal that 0.64% of the area falls under the highest flood susceptibility level (very high), 12.51% under high susceptibility, 51.69% under moderate susceptibility, 31.06% under low susceptibility, and 4.07% under the very low susceptibility category. The primary observation from this study provides very important data for understanding the flood dynamics of the area and further detail study for flood risk management and this approach can be used for any such terrains for flood zoning.