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Flood Vulnerability Assessment Using AHP and Frequency Ratio Techniques

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Spatial Modelling of Flood Risk and Flood Hazards

Abstract

Among all-natural disasters, flood is the most common and devastating, causing extensive disruption to the environment, socio-economy, infrastructure, and many other aspects of human life. Almost every year, the Torsa- Raidak River integrated basin area of the Himalayan foothill experiences flood due to physiographic characteristics and excessive rainfall over a short period of time. The current study uses Analytical Hierarchy Process (AHP) and Frequency Ratio (FR) model to prepare a flood susceptibility map. According to their contributions of selected factors (elevation, rainfall, topographic wetness index, slope angle, distance from rivers, and land use land cover), weightage was given using the AHP method. Moreover, AHP and FR methods were employed to find out the flood vulnerability index (FVI). Current research results revealed that the lower part of the basin (Alipurduar and Cooch Behar) is susceptible to high to very high flood risk. Rainfall, LULC and distance from the river are contributing the most to cause flood in this study area. A total of 156 flood points were selected from different historical flood maps and field study areas for validation. The output of validation based on ROC depicted that the prediction accuracy was 81.2%, 85.7%, and 86.6% for the FVI, FR, and AHP, respectively, which may consider the model as good and acceptable for floods prediction. This research is capable to act as a guideline for grounding flood control measures in the area of study.

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Hasanuzzaman, M., Adhikary, P.P., Bera, B., Shit, P.K. (2022). Flood Vulnerability Assessment Using AHP and Frequency Ratio Techniques. In: Pradhan, B., Shit, P.K., Bhunia, G.S., Adhikary, P.P., Pourghasemi, H.R. (eds) Spatial Modelling of Flood Risk and Flood Hazards. GIScience and Geo-environmental Modelling. Springer, Cham. https://doi.org/10.1007/978-3-030-94544-2_6

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