Assessment of flood risk in a coastal city considering multiple socio-economic vulnerability scenarios

Author:

Ghosh MousumiORCID,Ghosh Subimal,Karmakar Subhankar

Abstract

Abstract. The Intergovernmental Panel on Climate Change stresses the importance of vulnerability and exposure along with hazard in defining flood risk. Therefore, a novel approach for flood risk quantification is proposed that evaluates the impact of various realistic socio-economic scenarios on risk reduction. The flood hazard is derived from a hydrodynamic flood modelling framework over Mumbai, India's highly flood-prone coastal megacity. The socio-economic vulnerability is assessed by a multivariate approach based on principal component analysis and data envelopment analysis. Finally, the flood risk is quantified and mapped by aggregating hazard and vulnerability for different socio-economic scenarios, also key indicators contributing to a significant reduction in vulnerability and risk are identified. This non-structural long-term flood risk management approach will benefit densely populated urban areas, especially in developing, and underdeveloped countries.

Funder

Department of Science and Technology, Ministry of Science and Technology, India

Industrial Research and Consultancy Centre

Publisher

Copernicus GmbH

Reference23 articles.

1. Arrighi, C., Pregnolato, M., Dawson, R. J., and Castelli, F.: Preparedness against mobility disruption by floods, Sci. Total Environ., 654, 1010–1022, 2019.

2. Australian Institute for Disaster Resilience (AIDR): Guideline 7-3, Supporting document for implementation of Australian Disaster Resilience Handbook 7 Managing the Floodplain: A Guide to Best Practice in Flood Risk Management in Australia, https://knowledge.aidr.org.au/media/3518/adr-guideline-7-3.pdf (last access: 10 January 2023), 2017.

3. Census of India: Provisional population totals, Census of India, New Delhi: Office of the Registrar General and Census Commissioner, India, https://censusindia.gov.in/census.website/data/census-tables (last access: 10 January 2023), 2001.

4. Census of India: Provisional population totals, Census of India, New Delhi: Office of the Registrar General and Census Commissioner, India, https://censusindia.gov.in/census.website/data/census-tables (last access: 10 January 2023), 2011.

5. Cooper, W. W., Seiford, L. M., and Zhu, J.: Data envelopment analysis: History, models, and interpretations, in: International Series in Operations Research and Management Science, 164, https://doi.org/10.1007/978-1-4419-6151-8_1, 2011.

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