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Risk mapping of Indian coastal districts using IPCC-AR5 framework and multi-attribute decision-making approach

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dc.contributor.author MALAKAR K.
dc.contributor.author MISHRA T.
dc.contributor.author HARI V.
dc.contributor.author KARMAKAR S.
dc.date.accessioned 2023-03-17T05:26:22Z
dc.date.available 2023-03-17T05:26:22Z
dc.date.issued 2021
dc.identifier.citation Journal of Environmental Management,294 en_US
dc.identifier.issn 3014797
dc.identifier.uri https://dx.doi.org/10.1016/j.jenvman.2021.112948
dc.identifier.uri http://localhost:8080/xmlui/handle/100/40021
dc.description.abstract Strategic location of coastal areas across the world causes them to be prone to disaster risks. In the global south, the indian coast is one of the most susceptible to oceanic extreme events, such as cyclones, storm surge and high tides. This study provides an understanding of the risk experienced (currently as well as back in 2001) by the districts along the indian coastline by developing a quantitative risk index. In the process, it attempts to make a novel contribution to the risk literature by following the definition of risk as a function of hazard, exposure and vulnerability as stated in the most recent (fifth) assessment report of the intergovernmental panel on climate change (ipcc). Indicators of bio-physical hazards (such as cyclones, storm surge, tides and precipitation), and socio-economic contributors of vulnerability (such as infrastructure, technology, finance and social nets) and exposure (space), are combined to develop an overall risk index at a fine administrative scale of district-level over the entire coastline. Further, the study employs a multi-attribute decision-making (madm) method, technique for order preference by similarity to ideal solution (topsis), to combine the contributing indicators and generate indices on hazard, exposure and vulnerability. The product of these three components is thereafter defined as risk. The results suggest that most districts of the eastern coast have higher risk indices compared to those in the west, and the risk has increased since 2001. The higher risk can be attributed to the higher hazard indices in the eastern districts which are aggravated by their higher vulnerability index values. This study is the first effort made to map risk for the entire coastline of india — which in turn has resulted in a new cartographic product at a district-scale. Such assessments and maps have implications for environmental and risk-managers as they can help identify the regions needing adaptive interventions. © 2021 elsevier ltd en_US
dc.language.iso English en_US
dc.publisher Academic Press en_US
dc.subject CYCLONE en_US
dc.subject EXPOSURE en_US
dc.subject HAZARD en_US
dc.subject INDEX en_US
dc.subject RISK en_US
dc.subject VULNERABILITY en_US
dc.subject.other article en_US
dc.subject.other climate change en_US
dc.subject.other decision making en_US
dc.subject.other finance en_US
dc.subject.other human en_US
dc.subject.other hurricane en_US
dc.subject.other India en_US
dc.subject.other manager en_US
dc.subject.other precipitation en_US
dc.subject.other risk assessment en_US
dc.subject.other seashore en_US
dc.subject.other storm surge en_US
dc.subject.other technique for order preference by similarity to ideal solution en_US
dc.subject.other disaster en_US
dc.subject.other hurricane en_US
dc.subject.other methodology en_US
dc.subject.other Climate Change en_US
dc.subject.other Cyclonic Storms en_US
dc.subject.other Disasters en_US
dc.subject.other India en_US
dc.subject.other Research Design en_US
dc.title Risk mapping of Indian coastal districts using IPCC-AR5 framework and multi-attribute decision-making approach en_US
dc.type Article en_US


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