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Comparison of Flood Vulnerability Assessments to Climate Change by Construction Frameworks for a Composite Indicator

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  • Jong Seok Lee

    (Department of Civil Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongbuk 38541, Korea)

  • Hyun Il Choi

    (Department of Civil Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongbuk 38541, Korea)

Abstract

As extreme weather conditions due to climate change can cause deadly flood damages all around the world, a role of the flood vulnerability assessment has become recognized as one of the preemptive measures in nonstructural flood mitigation strategies. Although the flood vulnerability is most commonly assessed by a composite indicator compiled from multidimensional phenomena and multiple conflicting criteria associated with floods, directly or indirectly, it has been often overlooked that the construction frameworks and processes can have a significant influence on the flood vulnerability indicator outcomes. This study has, therefore, compared the flood vulnerability ranking orders for the 54 administrative districts in the Nakdong River Watershed of the Korean Peninsula, ranked from composite indicators by different frameworks and multi-attribute utility functions for combining the three assessment components, such as exposure, sensitivity, and coping, presented in the IPCC Third Assessment Report. The results show that the different aggregation components and utility functions under the same proxy variable system can lead to larger volatility of flood vulnerability rankings than expected. It is concluded that the vulnerability indicator needs to be derived from all three assessment components by a multiplicative utility function for a desirable flood vulnerability assessment to climate change.

Suggested Citation

  • Jong Seok Lee & Hyun Il Choi, 2018. "Comparison of Flood Vulnerability Assessments to Climate Change by Construction Frameworks for a Composite Indicator," Sustainability, MDPI, vol. 10(3), pages 1-13, March.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:3:p:768-:d:135753
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    Cited by:

    1. Niranjan Padhan & S Madheswaran, 2023. "An integrated assessment of vulnerability to floods in coastal Odisha: a district-level analysis," 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. 115(3), pages 2351-2382, February.
    2. Muhammad Nazeer & Hans-Rudolf Bork, 2019. "Flood Vulnerability Assessment through Different Methodological Approaches in the Context of North-West Khyber Pakhtunkhwa, Pakistan," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    3. Edson Kogachi & Adonias Ferreira & Carlos Cavalcante & Marcelo Embiruçu, 2021. "Development of Performance Evaluation Indicators for Table Grape Packaging Units. 2. Global Indexes," Sustainability, MDPI, vol. 13(11), pages 1-16, June.
    4. Muhammad Nazeer & Hans-Rudolf Bork, 2021. "A local scale flood vulnerability assessment in the flood-prone area of Khyber Pakhtunkhwa, Pakistan," 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. 105(1), pages 755-781, January.
    5. Changfeng Jing & Mingyi Du & Songnian Li & Siyuan Liu, 2019. "Geospatial Dashboards for Monitoring Smart City Performance," Sustainability, MDPI, vol. 11(20), pages 1-23, October.
    6. Tugkan Tanir & Andre de Souza de Lima & Gustavo A. Coelho & Sukru Uzun & Felicio Cassalho & Celso M. Ferreira, 2021. "Assessing the spatiotemporal socioeconomic flood vulnerability of agricultural communities in the Potomac River Watershed," 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. 108(1), pages 225-251, August.
    7. Karma Tempa, 2022. "District flood vulnerability assessment using analytic hierarchy process (AHP) with historical flood events in Bhutan," PLOS ONE, Public Library of Science, vol. 17(6), pages 1-20, June.

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