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주성분 분석을 이용한 농업생산기반의 재해 취약성 평가에 관한 연구

A Study on the Vulnerability Assessment for Agricultural Infrastructure using Principal Component Analysis

  • 김성재 ((주)그린텍아이엔시 시스템사업부 R&D팀) ;
  • 김성민 (경상대학교 대학원 농공학과) ;
  • 김상민 (경상대학교 지역환경기반공학과 (농업생명과학연구원))
  • 투고 : 2012.11.08
  • 심사 : 2013.01.14
  • 발행 : 2013.01.31

초록

The purpose of this study was to evaluate climate change vulnerability over the agricultural infrastructure in terms of flood and drought using principal component analysis. Vulnerability was assessed using vulnerability resilience index (VRI) which combines climate exposure, sensitivity, and adaptive capacity. Ten flood proxy variables and six drought proxy variables for the vulnerability assessment were selected by opinions of researchers and experts. The statistical data on 16 proxy variables for the local governments (Si, Do) were collected. To identify major variables and to explain the trend in whole data set, principal component analysis (PCA) was conducted. The result of PCA showed that the first 3 principal components explained approximately 83 % and 89 % of the total variance for the flood and drought, respectively. VRI assessment for the local governments based on the PCA results indicated that provinces where having the relatively large cultivation areas were categorized as vulnerable to climate change.

키워드

참고문헌

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피인용 문헌

  1. Development of Meteorologic Data Retrieval Program for Vulnerability Assessment to Natural Hazards vol.19, pp.4, 2013, https://doi.org/10.7851/ksrp.2013.19.4.047
  2. Flood Risk Assessment Based on Bias-Corrected RCP Scenarios with Quantile Mapping at a Si-Gun Level vol.55, pp.4, 2013, https://doi.org/10.5389/KSAE.2013.55.4.073