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A methodology for urban micro-scale coastal flood vulnerability and risk assessment and mapping

Author

Listed:
  • Sarah Percival

    (Liverpool John Moores University)

  • Richard Teeuw

    (University of Portsmouth)

Abstract

One of the most dangerous challenges to settlements in the UK comes from flooding. Currently, there is extensive map coverage of flood hazards zones in the UK; however, it is increasingly recognised that risk associated with natural hazards cannot be reduced solely by focussing on the hazard. There is also an urgent need for methods of evaluating and mapping flood vulnerability and risk in detail. Despite its significance, conventional flood risk assessment methodologies often underestimate likely levels of vulnerability in areas prone to hazards, yet it is the degree of vulnerability within a community that determines the consequences of any given hazard. The research presented proposes a general methodology to assess and map Coastal Flood Vulnerability and Risk at a detailed, micro-scale level. This captures aspects that are considered crucial and representative of reality (socio-economic, physical and resilient features). The methodology is then applied to a UK case study (city of Portsmouth). Environment Agency flood hazard data, National Census socio-economic data and Ordnance Survey topographic map data have been used to evaluate and map coastal flood vulnerability, examining neighbourhoods within census wards. This led to a subsequent analysis of Coastal Flood Risk, via the combination of a Coastal Flood Vulnerability Index and a Coastal Flood Hazard Index, for the Portsmouth ward Hilsea. This, consequently, identifies potential weaknesses that could lead to more effective targeting of interventions to improve resilience and reduce vulnerability in the long term and provides a basis for hazard and environmental managers/planners to generate comprehensive national/international vulnerability and risk assessments.

Suggested Citation

  • Sarah Percival & Richard Teeuw, 2019. "A methodology for urban micro-scale coastal flood vulnerability and risk assessment and mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(1), pages 355-377, May.
  • Handle: RePEc:spr:nathaz:v:97:y:2019:i:1:d:10.1007_s11069-019-03648-7
    DOI: 10.1007/s11069-019-03648-7
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    References listed on IDEAS

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    Cited by:

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    2. Sarah Ellen Percival & Mark Gaterell & David Hutchinson, 2020. "Effective flood risk visualisation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 375-396, October.
    3. Shiyao Zhu & Haibo Feng & Qiuhu Shao, 2023. "Evaluating Urban Flood Resilience within the Social-Economic-Natural Complex Ecosystem: A Case Study of Cities in the Yangtze River Delta," Land, MDPI, vol. 12(6), pages 1-22, June.
    4. Roberta Paranunzio & Iulia Anton & Elisa Adirosi & Tasneem Ahmed & Luca Baldini & Carlo Brandini & Filippo Giannetti & Cécil Meulenberg & Alberto Ortolani & Francesco Pilla & Gregorio Iglesias & Salem, 2023. "A New Approach towards a User-Driven Coastal Climate Service to Enhance Climate Resilience in European Cities," Sustainability, MDPI, vol. 16(1), pages 1-27, December.
    5. Aishwarya Narendr & S. Vinay & Bharath Haridas Aithal & Sutapa Das, 2022. "Multi-dimensional parametric coastal flood risk assessment at a regional scale using GIS," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9569-9597, July.
    6. Neiler Medina & Yared Abayneh Abebe & Arlex Sanchez & Zoran Vojinovic, 2020. "Assessing Socioeconomic Vulnerability after a Hurricane: A Combined Use of an Index-Based approach and Principal Components Analysis," Sustainability, MDPI, vol. 12(4), pages 1-31, February.

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