본문 바로가기
  • Home

A Study on Scenario Classification of Heavy Snowfall Disasters

  • Crisisonomy
  • Abbr : KRCEM
  • 2017, 13(5), pp.153-163
  • DOI : 10.14251/crisisonomy.2017.13.5.153
  • Publisher : Crisis and Emergency Management: Theory and Praxis
  • Research Area : Social Science > Public Policy > Public Policy in general
  • Received : April 20, 2017
  • Accepted : May 17, 2017
  • Published : May 31, 2017

Hee-Jae, Kim 1 Joo Hyun-Tae 2 Kim Geun Young 1

1강남대학교
2한양대학교

Accredited

ABSTRACT

Heavy snowfall is the second most critical natural disaster in South Korea after typhoon and flood disaster in terms of frequency and damage size. The size of disaster caused by heavy snowfall becomes larger due to global warming and climate instability. There is substantial regional variation on snowfall and the size of the damage. In this study, eighty-four snowfall disasters in South Korea were classified into five scenarios by regional pattern based on the association analysis. The representative snowfall disaster was then identified for each of the five scenarios, and the association between the representative snowfall disaster and other disasters within the scenario was measured. The results from this study can be used as basic information for developing policies for effective preparedness of snow removal resources and snow removal support systems.

Citation status

* References for papers published after 2023 are currently being built.