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Floods significantly impact people’s socio-economic lives. They destroy various infrastructures, cause loss of life, and damage crops. This study aimed to identify flood risk areas and establish sustainable flood managementFlood management in the Teesta River Basin (TRB). We employed the Analytical Hierarchy Process (AHP)Analytical Hierarchy Process (AHP), Remote SensingRemote sensing, and Geographic Information System for flood risk assessment. Nine contributing factors, including Drainage DensityDrainage density, Land Use and Land CoverLand Use and Land Cover (LULC) (LULC), Soil, Rainfall, Geology, Distance from River, Topographic Wetness IndexTopographic wetness index, Slope, and Elevation, were utilized to implement the AHPAnalytical Hierarchy Process (AHP) model. The Consistency Ratio is 0.086081, indicating a satisfactory level of consistency. Results revealed that 30.30% (3602 km2) of the basin area falls within the high to very high flood risk zoneFlood risk zone category. The Kappa CoefficientKappa coefficient and ROCReceiver Operating Characteristic Curve (ROC) methods validated the LULCLand Use and Land Cover (LULC) and flood risk zonesFlood risk zone, respectively. The overall average accuracy is 0.88, and the Kappa CoefficientKappa coefficient value is 0.832258, indicating Perfect Agreement. The flood-prone areas were identified through 3D visualization using the Arc Scene tool. Using animation, we aimed to understand which parts of the area might be affected if water levels rise during the rainy season. Lastly, we recommended sustainable flood managementFlood management methods (structural and non-structural) to mitigateMitigate the harmful effects of flooding in potentially flood-prone areas. This study can assist decision-makers in future flood managementFlood management and mitigationMitigation efforts.

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An Assessment of Flood Risk Utilizing Analytical Hierarchy Process and RS-GIS Techniques, Coupled with Sustainable Flood Management Strategies in the Teesta River Basin, Eastern India

  • 章节

  • 发表日期：

    2026年

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  • Ankita Das,
  • Aritra Paul,
  • Sourav Dey,
  • Moumita Dutta,
  • Sujit Mandal

摘要

Floods significantly impact people’s socio-economic lives. They destroy various infrastructures, cause loss of life, and damage crops. This study aimed to identify flood risk areas and establish sustainable flood managementFlood management in the Teesta River Basin (TRB). We employed the Analytical Hierarchy Process (AHP)Analytical Hierarchy Process (AHP), Remote SensingRemote sensing, and Geographic Information System for flood risk assessment. Nine contributing factors, including Drainage DensityDrainage density, Land Use and Land CoverLand Use and Land Cover (LULC) (LULC), Soil, Rainfall, Geology, Distance from River, Topographic Wetness IndexTopographic wetness index, Slope, and Elevation, were utilized to implement the AHPAnalytical Hierarchy Process (AHP) model. The Consistency Ratio is 0.086081, indicating a satisfactory level of consistency. Results revealed that 30.30% (3602 km2) of the basin area falls within the high to very high flood risk zoneFlood risk zone category. The Kappa CoefficientKappa coefficient and ROCReceiver Operating Characteristic Curve (ROC) methods validated the LULCLand Use and Land Cover (LULC) and flood risk zonesFlood risk zone, respectively. The overall average accuracy is 0.88, and the Kappa CoefficientKappa coefficient value is 0.832258, indicating Perfect Agreement. The flood-prone areas were identified through 3D visualization using the Arc Scene tool. Using animation, we aimed to understand which parts of the area might be affected if water levels rise during the rainy season. Lastly, we recommended sustainable flood managementFlood management methods (structural and non-structural) to mitigateMitigate the harmful effects of flooding in potentially flood-prone areas. This study can assist decision-makers in future flood managementFlood management and mitigationMitigation efforts.