• 제목/요약/키워드: CCGIS (Climate Change Adaptation Toolkit based on GIS)

검색결과 2건 처리시간 0.016초

한반도 기후변화 취약성 지수 산정을 위한 CCGIS의 개발 및 활용 (Development and Application of CCGIS for the Estimation of Vulnerability Index over Korea)

  • 김철희;송창근;홍유덕;유정아;류성현;임광영
    • 한국기후변화학회지
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    • 제3권1호
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    • pp.13-24
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    • 2012
  • 우리나라 지자체별 기후변화적응과 연관된 필요한 기초 자료를 생산하고 관리하는 도구로서 CCGIS(Climate Change Adaptation Toolkit based on GIS)를 개발하였다. CCGIS 개발의 주요 목적은 기후변화적응대책을 위해 필요한 중요한 정보와 데이터들을 제공할 뿐만 아니라, 기후변화적응 대책 마련에 필요한 기후변화 취약성 지수를 산정하는 데 있다. 본 논문에서는 CCGIS에 탑재된 기후 및 대기환경모델로 모의된 2000년과 2020년, 2050년, 2100년의 IPCC SRES(A2, B1, A1B, A1T, A1FI, A1 시나리오) 배출량 시나리오별 현재 및 미래 기후 자료를 생산하고, 이를 토대로 기후변화 적응에 필요한 자료를 제공하고, 표출하는 과정을 기술하였다. 아울러 한반도 지자체를 대상으로 CCGIS를 이용한 기후변화 취약성지수의 특성과 공간 분포, 그리고 그 산출 과정을 설명하고, 그 활용성을 논하였다.

표준화 방법에 따른 기후변화 취약성 지수의 민감성 연구 (Study on Sensitivity of different Standardization Methods to Climate Change Vulnerability Index)

  • 남기표;김철희
    • 환경영향평가
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    • 제22권6호
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    • pp.677-693
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    • 2013
  • IPCC showed that calculation of climate vulnerability index requires standardization process of various proxy variables for the estimation of climate exposure, sensitivity, and adaptive capacity. In this study, four different methodologies of standardization methods: Z-score, Rescaling, Ranking, and Distance to the reference country, are employed to evaluate climate vulnerability-VRI (Vulnerability-Resilience Indicator) over Korean peninsula, and the error ranges of VRI, arising from employing the different standardization are estimated. All of proxy variables are provided by CCGIS (Climate Change adaptation toolkit based on GIS) which hosts information on both past and current socio-economic data and climate and environmental IPCC SRES (A2, B1, A1B, A1T, A1FI, and A1 scenarios) climate data for the decades of 2000s, 2020s, 2050s, and 2100s. The results showed that Z-score and Rescaling methods showed statistically undistinguishable results with minor differences of spatial distribution, while Ranking and Distance to the reference country methods showed some possibility to lead the different ranking of VRI among South Korean provinces, depending on the local characteristics and reference province. The resultant VRIs calculated from different standardization methods showed Cronbach's alpha of more than 0.84, indicating that all of different methodologies were overall consistent. Similar horizontal distributions were shown with the same trends: VRI increases as province is close to the coastal region and/or it close toward lower latitude, and decreases as it is close to urbanization area. Other characteristics of the four different standardization are discussed in this study.