An integrated coastal exposure modelling approach to assist mangrove ecosystem based disaster risk reduction (Eco-DRR) in Tamil Nadu, India

IF 2.6 Q3 ENVIRONMENTAL SCIENCES
Pankaj Singha , Rajarshi Dasgupta , Shizuka Hashimoto , Bijon Kumer Mitra
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引用次数: 0

Abstract

This paper attempts to measure the role of the mangrove ecosystem in minimizing coastal exposure using the InVEST (V3.9.0) Coastal Vulnerability Assessment (CVA) model in Tamil Nadu, India. The result depicts that the exposure value of the Tamil Nadu coastal stretch varies from 1.71 to 4.78 on a five-point scale. More than half of the coastal segments in Tamil Nadu have high to very high exposure, whereas nearly 10 % of the coastal segments are recorded under very low exposure. The model demonstrated that having the existing mangrove patches in the Pichavaram and Muthpet regions significantly reduces the exposure value from 3.47 to 2.80 and 4.78 to 2.10, respectively. Further, the present study modelled the impact of future Sea Level Rise (SLR) on the mangrove ecosystems using a static inundation modelling approach under different Representative Concentration Pathways (RCPs). Results depict a significant loss of mangrove habitats from 9.55 % to 58.33 % and 20.88 % to 48.02 % for both the Pichavaram and Muthupet mangrove regions, respectively, by the end of this century (2100). Since the coastal hazards are expected to intensify, our results can benefit policymakers by highlighting the prioritized areas and location-specific interventions for fostering Ecosystem-based Disaster Risk Reduction (Eco-DRR) strategies.
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来源期刊
Progress in Disaster Science
Progress in Disaster Science Social Sciences-Safety Research
CiteScore
14.60
自引率
3.20%
发文量
51
审稿时长
12 weeks
期刊介绍: Progress in Disaster Science is a Gold Open Access journal focusing on integrating research and policy in disaster research, and publishes original research papers and invited viewpoint articles on disaster risk reduction; response; emergency management and recovery. A key part of the Journal's Publication output will see key experts invited to assess and comment on the current trends in disaster research, as well as highlight key papers.
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