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What is responsible for increasing flood risks? The case of Gangwon Province, Korea

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  • Heejun Chang
  • Jon Franczyk
  • Changhwan Kim

Abstract

We examined the anthropogenic and natural causes of flood risks in six representative cities in the Gangwon Province of Korea. Flood damage per capita is mostly explained by cumulative upper 5% summer precipitation amount and the year. The increasing flood damage is also associated with deforestation in upstream areas and intensive land use in lowlands. Human encroachment on floodplains made these urban communities more vulnerable to floods. Without changes in the current flood management systems of these cities, their vulnerability to flood risks will remain and may even increase under changing climate conditions. Copyright Springer Science+Business Media B.V. 2009

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  • Heejun Chang & Jon Franczyk & Changhwan Kim, 2009. "What is responsible for increasing flood risks? The case of Gangwon Province, 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. 48(3), pages 339-354, March.
    • Handle: RePEc:spr:nathaz:v:48:y:2009:i:3:p:339-354
    DOI: 10.1007/s11069-008-9266-y
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    3. Jean-Lionel Payeur-Poirier & Trung Thanh Nguyen, 2017. "The Inclusion of Forest Hydrological Services in the Sustainable Development Strategy of South Korea," Sustainability, MDPI, vol. 9(8), pages 1-16, August.
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    5. Ji-Myong Kim & Seunghyun Son & Sungho Lee & Kiyoung Son, 2020. "Cost of Climate Change: Risk of Building Loss from Typhoon in South Korea," Sustainability, MDPI, vol. 12(17), pages 1-11, August.
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    8. Donghyun Choi & David Oliver Kasdan & D. K. Yoon, 2019. "Analyzing Disaster Loss Trends: A Comparison of Normalization Methodologies in South Korea," Risk Analysis, John Wiley & Sons, vol. 39(4), pages 859-870, April.
    9. Enliang Guo & Jiquan Zhang & Xuehui Ren & Qi Zhang & Zhongyi Sun, 2014. "Integrated risk assessment of flood disaster based on improved set pair analysis and the variable fuzzy set theory in central Liaoning Province, China," 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. 74(2), pages 947-965, November.
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