Journal of Environmental Impact Assessment (환경영향평가)

Korean Society of Environmental Impact Assessment (한국환경영향평가학회)
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Applicability of VariousInterpolation Approaches for High Resolution Spatial Mapping of Climate Data in Korea

남한 지역 고해상도 기후지도 작성을 위한 공간화 기법 연구

  • Jo, Ayeong (Department of Lifescience, Korea University) ;
  • Ryu, Jieun (Environmental GIS/RS Center, Korea University) ;
  • Chung, Hyein (Department of Environmental Science & Ecological Engineering, Korea University) ;
  • Choi, Yuyoung (Department of Environmental Science & Ecological Engineering, Korea University) ;
  • Jeon, Seongwoo (Department of Environmental Science & Ecological Engineering, Korea University)
  • 조아영 (고려대학교 생명과학과) ;
  • 류지은 (고려대학교 환경GIS/RS 센터) ;
  • 정혜인 (고려대학교 환경생태공학과) ;
  • 최유영 (고려대학교 환경생태공학과) ;
  • 전성우 (고려대학교 환경생태공학과)
  • Received : 2018.07.02
  • Accepted : 2018.10.02
  • Published : 2018.10.31
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Abstract

The purpose of this study is to build a new dataset of spatially interpolated climate data of South Korea by performing various geo-statistical interpolation techniques for comparison with the LDAPS grid data of KMA. Among 595 observation data in 2017, 80 % of the total points and remaining 117 points were used for spatial mapping and quantification,respectively. IDW, cokriging, and kriging were performed via the ArcGIS10.3.1 software and Python3.6.4, and each result was then divided into three clusters and four watersheds for statistical verification. As a result, cokriging produced the most suitable grid climate data for instantaneous temperature. For 1-hr accumulated precipitation, IDW was most suitable for expressing local rainfall effects.

본 연구의 목적은 다양한 지리통계학적 공간화 기법을 적용한 격자기후자료와 기상청에서 제공하는 국지예보모델(Local Data Assimilation and Prediction System, LDAPS) 격자기후자료를 비교 분석하여 남한 지역의 고해상도 격자기후지도 작성 방안을 모색하는 것이다. 2017년의 595개 기후관측자료 중, 80%의 지점자료를 이용하여 순간 온도와 1시간 누적강수량에 대한 격자기후자료를 생성하였고 나머지 117개의 지점자료를 검증에 이용하였다. ArcGIS10.3.1과 Python3.6.4을 이용하여 관측자료 및 DEM을 IDW, 공동크리깅, 크리깅에 적용한 후, 공간보간 결과를 3개 군집으로 나누어 검증하였으며 LDAPS 격자기후자료를 바탕으로 유역 별 패턴 비교를 수행하였다. 결과적으로 순간 온도의 공간화에는 고도를 부변수로 추가한 공동크리깅이, 1시간 누적강수량 공간화에는 IDW가 가장 적합하였다.

Keywords

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