Journal of agriculture & life science (농업생명과학연구)

Institute of Agriculture & Life Science, Gyeongsang National University (경상대학교 농업생명과학연구원)
권호 표지

GIS.RS-based Estimation of Carbon Dioxide Absorption and Bioenergy Supply Potential of Forest - Focused on Muju County, Jeonbuk -

GIS.RS기반 산림의 이산화탄소 흡수량 및 바이오에너지 공급 잠재량 추정 - 전북 무주군을 중심으로 -

  • Kim, Hyun (Jeonbuk Forest Environment Research Inst.) ;
  • Kim, Hyun-Jun (Dept. of Forest Environmental Science, Chonbuk Nat'l Univ.) ;
  • Choi, Soo-Min (Dept. of Forest Environmental Science, Chonbuk Nat'l Univ.) ;
  • Kang, Hag-Mo (Dept. of Forest Environmental Science, Chonbuk Nat'l Univ.) ;
  • Lee, Sang-Hyun (Dept. of Forest Environmental Science, Chonbuk Nat'l Univ.)
  • 김현 (전북산림환경연구소) ;
  • 김현준 (전북대학교 산림환경과학과) ;
  • 최수민 (전북대학교 산림환경과학과) ;
  • 강학모 (전북대학교 산림환경과학과) ;
  • 이상현 (전북대학교 산림환경과학과)
  • Received : 2010.11.17
  • Accepted : 2011.02.22
  • Published : 2011.02.28
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Abstract

This study was conducted to estimate carbon dioxide $(CO_{2})$ absorption and bioenergy supply potential of forests in Muju county based on GIS RS In results, it was estimated that 7,800,130 $tCO_{2}$ was absorbed and all bioenergy supply potential of 11,868,202,837 Mcal was available. Futhermore, bioenergy supply potential of 314,876,637 Mcal was available each year that was able to be supplied for the hitting during winter period to 11,241 households. This was more than all households of 10,902 in Muju county. This study suggested the methodology for estimating $CO_{2}$ absorption and bioenergy supply potential of forests on the national scale, and it was believed that reliability would be increased by estimation on the national scale using detailed forest information based on the latest techniques such as GIS RS techniques.

본 연구는 GIS RS를 기반으로 무주군 산림의 이산화탄소 $(CO_{2})$ 흡수량 및 바이오에너지 공급 잠재량을 추정하기 위하여 수행하였다. 추정 결과, 무주군 산림은 7,800,130 $tCO_{2}$를 흡수한 것으로 추정되었으며, 이용 가능한 전체 바이오에너지 공급 잠재량은 $11,868,202,837Mca{\ell}$인 것으로 추정되었다. 또한, 연간 바이오에너지 공급 잠재량은 $314,876,637Mca{\ell}/year$이었으며, 이는 겨울철 난방용 바이오에너지로 무주군 전체 가구수 10,902 가구보다 많은 11,214 가구에 공급할 수 있는 것으로 추정되었다. 본 연구는 국가단위 산림의 $CO_{2}$ 흡수량 및 바이오에너지 공급 잠재량 추정에 있어서 그 방법론을 제시하였으며, GIS RS 등의 최신 기법을 기반으로 정밀한 산림 정보를 이용한 국가단위의 추정은 신뢰도를 더욱 높일 수 있을 것으로 판단되었다.

Keywords

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