Kabenge M, Elaru J, Wang H, Li F (2017) Characterizing flood hazard risk in data-scarce areas, using a remote sensing and GIS-based flood hazard index. Jeffers JM (2013) Integrating vulnerability analysis and risk assessment in flood loss mitigation: an evaluation of barriers and challenges based on evidence from Ireland. Hirst SM, Ibrahim AM (1996) Effects of flood protection on soil fertility in a riverine floodplain area in Bangladesh. įranci F, Bitelli G, Mandanici E et al (2016) Satellite remote sensing and GIS-based multi-criteria analysis for flood hazard mapping. ĭwarakish GS, Ganasri BP (2015) Impact of land use change on hydrological systems: a review of current modeling approaches. 141–162ĭomeneghetti A, Gandolfi S, Castellarin A et al (2015) Flood risk mitigation in developing countries: deriving accurate topographic data for remote areas under severe time and economic constraints. ĭisaster management department J (2010) A Reprot on Jalgaon District Disaster Management. ĭanumah JH, Odai SN, Saley BM et al (2016) Flood risk assessment and mapping in Abidjan district using multi-criteria analysis (AHP) model and geoinformation techniques, (cote d’ivoire). ĬWC (2014) Tapi Basin Government of India, Ministry of water resources. Ĭhen H, Liang Z, Liu Y et al (2018) Effects of drought and flood on crop production in China across 1949–2015: spatial heterogeneity analysis with Bayesian hierarchical modeling. īlencowe JPB, Moore SD, Young GJ, Shearer RC, Hagerstrom R, Conley WM PJ (1960) Soil Department of Agriculture Bulletin 462Ĭhen YR, Yeh CH, Yu B (2011) Integrated application of the analytic hierarchy process and the geographic information system for flood risk assessment and flood plain management in Taiwan. īalica SFF, Popescu I, Beevers L, Wright NGG (2013) Parametric and physically based modelling techniques for flood risk and vulnerability assessment: a comparison. 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.Īwadallah AG, Tabet D (2015) Estimating flooding extent at high return period for ungauged braided systems using remote sensing: a case study of Cuvelai Basin, Angola. The high-risk areas of the river basin were identified using a flood risk map. The flood vulnerable index is developed using population density, crop production and density of road–river intersection. The flood hazard map is developed considering slope, distance from the main river, land use, land cover, soil, drainage density and rainfall. 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 weights were derived using a questionnaire survey. Datasets based on the Analytical Hierarchical Process (AHP) in combination with Geographic Information System (GIS) were used as criteria and sub-criteria. 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). The flood risk assessment study is an important factor in order to identify the critical or high-risk zone areas.
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