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Mapping heatwave vulnerability in Korea

Author

Listed:
  • Do-Woo Kim

    (National Disaster Management Research Institute)

  • Ravinesh C. Deo

    (University of Southern Queensland)

  • Jong-Seol Lee

    (National Disaster Management Research Institute)

  • Jong-Min Yeom

    (Korea Aerospace Research Institute)

Abstract

Due to the inevitable increase in temperatures that are attributable to significant climate variability and notable shifts in climate under increasing greenhouse gases, heat waves are becoming a major natural disaster. They lead to elevating incidences of human mortality, health risks, and damage to the economy, agriculture, and natural ecosystems. As a precautionary foresight to mitigate detrimental impacts of this disaster, a better understanding of regional vulnerability to heat waves is essential. This study has investigated the cumulative role of the social and climatic factors on heatwave-related deaths across the 232 administrative counties in Korea. Correlation and clustering analyses performed on heatwave-related deaths and social and climatic factors indicated that the number of heatwave days, tropical nights, elderly living alone, and agricultural workers had a significant relationship with the number of heatwave-related deaths. In order to demonstrate the practicality of this approach for heatwave analysis, a spatial heatwave vulnerability map was created to identify the distribution of heatwave risk by compositing the four most significant vulnerability factors identified with regression method. Among the several available regression methods that are applied on countable data, this study has utilized zero-inflated Poisson regression because the available data on heatwave-related deaths included many zeros. The heatwave vulnerability map depicted well the actual distribution of heatwave-related deaths, particularly for counties with a large number of heatwave deaths. In light of this evidence, it is postulated that the heatwave vulnerability map can be used as a useful decision-making tool that can help facilitate efficient utilization of various disaster management resources at the national level and also to identify emphatically the heatwave-related risk over spatial scales to aid in the establishment of customized health risk precautionary measures.

Suggested Citation

  • Do-Woo Kim & Ravinesh C. Deo & Jong-Seol Lee & Jong-Min Yeom, 2017. "Mapping heatwave vulnerability in Korea," 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. 89(1), pages 35-55, October.
  • Handle: RePEc:spr:nathaz:v:89:y:2017:i:1:d:10.1007_s11069-017-2951-y
    DOI: 10.1007/s11069-017-2951-y
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    Citations

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    Cited by:

    1. Yao, Fang, 2022. "Estimating the Trend of the House Price to Income Ratio in Ireland," Research Technical Papers 8/RT/22, Central Bank of Ireland.
    2. Kijin Seong & Junfeng Jiao & Akhil Mandalapu, 2023. "Evaluating the effects of heat vulnerability on heat-related emergency medical service incidents: Lessons from Austin, Texas," Environment and Planning B, , vol. 50(3), pages 776-795, March.
    3. Hyun-Joo Bae & Jung Eun Kang & Yu-Ra Lim, 2019. "Assessing the Health Vulnerability Caused by Climate and Air Pollution in Korea Using the Fuzzy TOPSIS," Sustainability, MDPI, vol. 11(10), pages 1-15, May.
    4. Wenjuan Sun & Paolo Bocchini & Brian D. Davison, 2020. "Applications of artificial intelligence for disaster management," 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. 103(3), pages 2631-2689, September.
    5. Wei Zhang & Phil McManus & Elizabeth Duncan, 2018. "A Raster-Based Subdividing Indicator to Map Urban Heat Vulnerability: A Case Study in Sydney, Australia," IJERPH, MDPI, vol. 15(11), pages 1-20, November.
    6. You Jin Kwon & Dong Kun Lee & You Ha Kwon, 2020. "Is Sensible Heat Flux Useful for the Assessment of Thermal Vulnerability in Seoul (Korea)?," IJERPH, MDPI, vol. 17(3), pages 1-26, February.
    7. Fei Li & Tan Yigitcanlar & Madhav Nepal & Kien Nguyen Thanh & Fatih Dur, 2022. "Understanding Urban Heat Vulnerability Assessment Methods: A PRISMA Review," Energies, MDPI, vol. 15(19), pages 1-34, September.

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