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산림부문의 국가온실가스 배출·흡수계수 개발 필요 우선순위 및 정량평가 방법론

Priority for Developing Emission Factors and Quantitative Assessment in the Forestry Sector

  • 한승현 (고려대학교 대학원 환경생태공학과) ;
  • 이선정 (국립산림과학원 산림산업연구과) ;
  • 장한나 (고려대학교 대학원 환경생태공학과) ;
  • 김성준 (고려대학교 대학원 환경생태공학과) ;
  • 김래현 (국립산림과학원 연구기획과) ;
  • 전의찬 (세종대학교 지구환경과학과) ;
  • 손요환 (고려대학교 대학원 환경생태공학과)
  • Han, Seung Hyun (Dept. of Environmental Science and Ecological Engineering, Graduate School, Korea University) ;
  • Lee, Sun Jeoung (Division of Forest Industry Research, Korea Forest Research Institute) ;
  • Chang, Hanna (Dept. of Environmental Science and Ecological Engineering, Graduate School, Korea University) ;
  • Kim, Seongjun (Dept. of Environmental Science and Ecological Engineering, Graduate School, Korea University) ;
  • Kim, Raehyun (Division of Research Planning and Coordination, Korea Forest Research Institute) ;
  • Jeon, Eui-Chan (Dept. of Earth & Environmental Sciences, Sejong University) ;
  • Son, Yowhan (Dept. of Environmental Science and Ecological Engineering, Graduate School, Korea University)
  • 투고 : 2017.08.01
  • 심사 : 2017.09.01
  • 발행 : 2017.09.29

초록

This study aimed to suggest priority for developing emission factor (EF) and to develop the methodology of quantitative assessment of EF in the forestry sector. Based on the stock-difference method, 17 kinds of EFs (27 EFs based on forest types) were required to calculate the carbon emission in the forestry sector. Priority for developing EFs followed the standards, which is a development plan by the government agency, importance of carbon stock for greenhouse gas, and EFs by the species. Currently, the most urgent development of EFs was carbon fraction in biomass and carbon stock in dead wood. Meanwhile, the quantitative assessment of EF consisted of 7 categories (5 categories of compulsory and 2 categories of quality evaluation) and 12 verification factors. Category in compulsory verification consisted of administrative document, determination methodology of emission factors, emission characteristic, accuracy of measurement and analysis, and data representative. Category in quality evaluation consisted of data management and uncertainty estimates. Based on the importance of factors in the verification process, each factor was scored separately, however, the score needs to be coordinated by the government agency. These results would help build a reliable and accurate greenhouse gas inventory report of Korea.

키워드

과제정보

연구 과제 주관 기관 : 환경부