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Flood risk index in data-scarce river basins using the AHP and GIS approach

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  • Preeti Ramkar

    (Sardar Vallabhbhai National Institute of Technology)

  • Sanjaykumar M. Yadav

    (Sardar Vallabhbhai National Institute of Technology)

Abstract

The flood risk assessment study is an important factor in order to identify the critical or high-risk zone areas. This research intends to develop a flood risk index map of data-scare river basins using an integrated approach of Geospatial technique and Multiple Criteria Decision-Making Technique (MCDM). Datasets based on the Analytical Hierarchical Process (AHP) in combination with Geographic Information System (GIS) were used as criteria and sub-criteria. The weights were derived using a questionnaire survey. The flood risk is the degree of exposure to the undesired event, which involves the multiplication of the natural flood hazard factors with highly vulnerable ones. The flood hazard map is developed considering slope, distance from the main river, land use, land cover, soil, drainage density and rainfall. The flood vulnerable index is developed using population density, crop production and density of road–river intersection. The high-risk areas of the river basin were identified using a flood risk map. AHP in combination with the GIS framework can be used as an alternative method for flood inundation or for developing the map of flood-prone zone of data-scarce river basins.

Suggested Citation

  • Preeti Ramkar & Sanjaykumar M. Yadav, 2021. "Flood risk index in data-scarce river basins using the AHP and GIS approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(1), pages 1119-1140, October.
    • Handle: RePEc:spr:nathaz:v:109:y:2021:i:1:d:10.1007_s11069-021-04871-x
    DOI: 10.1007/s11069-021-04871-x
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    References listed on IDEAS

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    1. A. Awadallah & D. Tabet, 2015. "Estimating flooding extent at high return period for ungauged braided systems using remote sensing: a case study of Cuvelai Basin, Angola," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(1), pages 255-272, May.
    2. Nimrabanu Memon & Dhruvesh P. Patel & Naimish Bhatt & Samir B. Patel, 2020. "Integrated framework for flood relief package (FRP) allocation in semiarid region: a case of Rel River flood, Gujarat, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(1), pages 279-311, January.
    3. Martin Kabenge & Joshua Elaru & Hongtao Wang & Fengting Li, 2017. "Characterizing flood hazard risk in data-scarce areas, using a remote sensing and GIS-based flood hazard index," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(3), pages 1369-1387, December.
    4. Yi-Ru Chen & Chao-Hsien Yeh & Bofu Yu, 2011. "Integrated application of the analytic hierarchy process and the geographic information system for flood risk assessment and flood plain management in Taiwan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(3), pages 1261-1276, December.
    5. Khabat Khosravi & Ebrahim Nohani & Edris Maroufinia & Hamid Reza Pourghasemi, 2016. "A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making techn," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(2), pages 947-987, September.
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