Journal of Climate Change Research (한국기후변화학회지)

The Korean Society of Climate Change Research (한국기후변화학회)
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Determination of Weighted Value to Estimate Each Emission Factor of Landfill

폐기물 매립부문 배출계수 평가항목의 가중치 결정

  • Lee, Seung Hoon (Specialized Interdisciplinary Graduate School for Climate Change, Anyang University, Department of Energy & Environmental Engineering, Anyang University) ;
  • Kim, Jae Young (Department of Civil and Environmental Engineering, Seoul National University) ;
  • Yi, Seung Muk (College of Public Health, Seoul National University) ;
  • Choi, Eun Hwa (Asian Institute for Energy, Environment and Sustainability) ;
  • Kim, Young Soo (Specialized Interdisciplinary Graduate School for Climate Change, Anyang University, Department of Energy & Environmental Engineering, Anyang University)
  • 이승훈 (안양대학교 기후변화특성화대학원 및 환경에너지공학과) ;
  • 김재영 (서울대학교 도시환경공학과) ;
  • 이승묵 (서울대학교 보건대학원) ;
  • 최은화 (아시아에너지환경지속가능발전연구소) ;
  • 김영수 (안양대학교 기후변화특성화대학원 및 환경에너지공학과)
  • Received : 2014.06.16
  • Accepted : 2014.08.25
  • Published : 2014.09.29
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Abstract

According to "IPCC guide line for national greenhouse gas inventories" each country should develop the 'Country-specific emission factor' and apply it to estimate greenhouse gases emissions from landfill. It could reflect properties of country and make estimation more accurate. For that accuracy, developed country-specific emission factor should be assessed and be verified consistently. Developed emission factors should be assessed in terms of Representative, Emission Property, Accuracy and Uncertainty, but there is no study about weighted assessment factors under each emission variable. This study do survey targeting public officials, professors and other experts for Analytical Hierarchy Process(AHP), mostly use to make decisions, to weight assessment factors. We investigated the weighted values per Emission factor for Representative, Emission property, Accuracy and Uncertainty on AHP survey, and Representative factor was the highest, and then in the order of Emission property (0.26), Accuracy(0.22), Uncertainty (0.15).

Keywords

Acknowledgement

Supported by : 환경부