Flood Risk Assessment of Panchganga River (Kolhapur District, Maharashtra) Using GIS-Based Multicriteria Decision Technique

Abstract

Flood hazard causes great loss to lives and properties leading to disturbance in human society. Flood is the single most hydrometeorological hazard causing substantial losses. To gain better understanding of the flood phenomena especially for planning and mitigation purposes, flood risk analysis is often required. For the present study, the middle part of Panchganga river of Kolhapur district, Maharashtra was selected. The main objective of the present study was to evaluate the potential flood risk areas of Panchganga river using GIS-based multicriteria decision analysis. The flood scenario across the Panchganga river was analysed using RADARSAT SAR data of 5 August 2005. To remove the speckle of SAR image, a median filtered technique was used. Thresholding technique was applied on RADARSAT SAR data to segregate flooded areas from non-flooded areas. Factors considered for evaluation of the flood risk analysis were flood layer, elevation, infrastructure and land use/ land cover analysis. The spatial multicriteria analysis with ranking, rating and analytical hierarchy process (AHP) method was used to compute the priority weights of each criterion. Accuracy assessment reveals that AHP is the most accurate technique to assess flood risk of Panchganga river.

Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

“…As depicted in Table 15, four studies employed compromise methods, as follows (i) COPRAS [153], (ii) TOPSIS [154,157], (iii) SAW and IFPPSI [154], and (iv) IOWA [161]. The remaining studies applied outranking methods (PROMETHEE and ELECTRE [154,161] and the multi-objective ZOGP [159] For the achievement of SDGs belonging to this category, several applications of MCDM methods reported in 36 studies are presented and discussed here, as follows: SDG 6-"Clean Water and Sanitation" [162][163][164][165][166][167][168], SDG 13-"Climate Action" [169][170][171][172][173][174][175][176][177][178][179][180][181][182], SDG 14-"Life below Water" [183][184][185][186][187][188], and SDG 15-"Life on Land" [189][190][191][192][193][194][195][196][197].…”

“…Concerning outranking methods, they were used in three studies: ELECTRE-III-H [158], ELECTRE III [165,167]. Since various degrees of ambiguity in deciding are observed, it is recommended to combine MCDM methods with fuzzy logic, which was observed in [162,166] 17 contains a summary of the reviewed articles and the main contributions of MCDM methods related to the achievement of SDG 13 [169][170][171][172][173][174][175][176][177][178][179][180][181][182]. Most of the decision problems concerning SDG 13 were linked to map and describe areas with flood risks associated with climate change impacts [170,171,173,174,177,182].…”

“…Since various degrees of ambiguity in deciding are observed, it is recommended to combine MCDM methods with fuzzy logic, which was observed in [162,166] 17 contains a summary of the reviewed articles and the main contributions of MCDM methods related to the achievement of SDG 13 [169][170][171][172][173][174][175][176][177][178][179][180][181][182]. Most of the decision problems concerning SDG 13 were linked to map and describe areas with flood risks associated with climate change impacts [170,171,173,174,177,182]. From the results shown in Table 17, one can observe that the AHP method (integrated or not with other methods) was the most used in these articles.…”

“…From the results shown in Table 17, one can observe that the AHP method (integrated or not with other methods) was the most used in these articles. By way of illustration, Panhalkar and Jarag [170] assessed flood risk assessment of Panchganga River in Maharashtra (India) using the AHP method combined with GIS. In turn, Maanan et al [171] also used this methodological approach to assess coastal vulnerability, resulting from human activity, population density, erosion, and climate change-induced sea-level rise in Morocco.…”

“…Three studies used the TOPSIS method, combined with other methods [169,179,180]. For example, Song et al [170] employed TOPSIS and RUS, combined with the Delphi technique and sensitivity analysis, to evaluate and rank the spatial flood vulnerability to climate change in South Korea. Florindo et al [179] applied TOPSIS and SWOT analysis to rank possible Carbon Footprint reduction actions in the Brazilian beef production chain.…”