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Yoon, Dong Keun
Disaster Risk Management Laboratory
Research Interests
  • Policy and planning for disaster risk reduction
  • Capacity needs assessment in disaster risk reduction
  • Assessment of socio-economic vulnerability to disaster
  • Spatial analysis for disaster management

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엔트로피 가중치를 활용한 대기오염 취약성 평가 - 오존을 중심으로

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Title
엔트로피 가중치를 활용한 대기오염 취약성 평가 - 오존을 중심으로
Author
Lee, Sang-hyoekKang, Jung EunBae, Hyun JooYoon, Dong Keun
Issue Date
2015-11
Publisher
한국지역지리학회
Citation
한국지역지리학회지, v.21, no.4, pp.751 - 763
Abstract
Both the selection of indicators and weights for them are critical issues in the vulnerability assessment. This study is to assess the air pollution vulnerability focused on ozone for 249 local jurisdictions using weights calculated by the entropy methodology and then examine the applicability of the methodology. We selected indicators for air pollution vulnerability assessment and standardized them. Subsequently, we calculated weights of each indicator using the entropy method and then integrated them into the vulnerability index. The exposure indicators consider meteorological and air pollution factors and the sensitivity of the local jurisdiction include variables on vulnerable areas and environments. The adaptive capacity contains socio-economic characteristics, health care capacities and air pollution managemental factors. The results show that Hwaseong-si, Gwangjin-gu, Gimpo-si, Gwangju-si, Gunpo-si are among the highest vulnerabilities based on the simple aggregation of indicators. And vulnerability-resilience (VRI) aggregation results indicates the similar spatial pattern with the simple aggregation outcomes. This article extends current climate change vulnerability assessment studies by adopting the entropy method to evaluate relative usefulness of data. In addition, the results can be used for developing customized adaptation policies for each jurisdiction reflecting vulnerable aspects.
URI
https://scholarworks.unist.ac.kr/handle/201301/18113
URL
https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002054964
ISSN
1226-7392
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UEE_Journal Papers
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