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국가 온실가스 인벤토리 LULUCF 부문 통계 구축방안에 관한 연구

A Study on Construction Plan of the Statistics for National Green House Gas Inventories(LULUCF Sector)

  • Yu, Seon Cheol (Smart Urban Space Institute, Anyang University) ;
  • Ahn, Wook (Urban Information Engineering, Anyang University) ;
  • Ok, Jin A (Dept. Urban Planning & Housing Policy, Gyeonggi Research Institute)
  • 투고 : 2015.05.01
  • 심사 : 2015.06.23
  • 발행 : 2015.06.30

초록

본 연구는 IPCC의 2003 우수실행지침에 따른 국제기준의 온실가스 인벤토리 LULUCF 부문의 통계 구축방안제시를 목적으로 진행되었다. 우리나라의 온실가스 인벤토리 LULUCF 부문 통계는 현재 전용된 정보를 구축하지 못하고 있는 문제점이 있는 것으로 분석되었으며, 선행연구들도 각 카테고리 내에서의 정보구축에 한정하고 있었다. 이에 경기도를 사례로 위성영상, KLIS, UPIS 등의 각종 정보를 활용하여 LULUCF 부문의 변화정보를 분석하였다. 그 결과 LULUCF 항목별 분류체계 마련, 위성영상을 활용한 통계 정확도 향상, 구축방법에 대한 추가적 연구가 필요하다는 시사점을 도출하였다. 이러한 이론적 배경 및 선행연구, 사례분석을 통해 향후 국가 온실가스 인벤토리 LULUCF 부문의 체계적 통계구축을 위해 과거 20년간의 전용정보의 체계적 구축, 위성영상과 각종 토지정보체계를 활용한 토지이용 변화 매트릭스 구축방안을 제시하였다. 이러한 연구결과를 참조로 온실가스 통계 구축을 위한 다양한 연구가 지속적으로 이루어져야 할 것이다.

This Study aimed to construction the plan of the statistics for national greenhouse gas inventories of international standards. Currently, the statistics of the greenhouse gas inventories of South Korea, has a problem that is not able to build the changed information. In previous studies, it has been limited to the construction of the information within each category. In order to solve these problems, targeting Gyeonggi province, we analyzed the land use change by utilizing the various information such as satellite images, KLIS, UPIS. As a result, we suggested the following implementation, classification system of LULUCF category, improvement of accuracy by utilizing satellite images of high resolution, additional research for methodology. Based on these contents, we suggested the construction plan of the statistics for national greenhouse gas inventories(LULUCF sector). Frist, it is necessary to construct of land use change informations for the past 20 years, Then, it need to create the matrix of land use change by utilizing satellite images and various land information systems.

키워드

참고문헌

  1. Bae, Y. J; et. al., 2013, Estimation of Uncertainty on Greenhouse Gas Emission in the Agriculture Sector, Journal of Korean Society of Rural Planning, 19(4):125-135. https://doi.org/10.7851/ksrp.2013.19.4.125
  2. Greenhouse Gas Inventory & Research Center of Korea, 2014, National Greenhouse Gas Inventory Report of Korea, Seoul.
  3. Greenhouse Gas Inventory & Research Center of Korea, 2014, 2014 Guideline for National Greenhouse Gas Inventories, Seoul.
  4. Im, J. K; et. al., 2004, A Study on the Writing Method for Korea National Report of 3rd UNFCC. Uiwang.
  5. IPCC, 1996, 1996 IPCC Guideline for National Greenhouse Gas Inventories.
  6. IPCC, 2000, 2000 IPCC Good Practice Guideline and Uncertainty Management in National Greenhouse Gas.
  7. IPCC, 2003, Good Practice Guideline for Land Use, Land-Use Change and Forestry, Institute for Global Environmental Strategies.
  8. IPCC, 2006, 2006 IPCC Guideline for National Greenhouse Gas Inventories.
  9. Jeong, J. J. 2005, Developments of Urban Change Detection Methods According to Spatial Resolution of Satellite Images, The Geographical Journal of Korea, 39(1):161-170.
  10. Park, J. J; Ku, C. Y; Kim, B. S, 2007, Improvement of the Level-2 Land Cover Map with Satellite Image, Journal of Korea Spatial Information Society, 15(1):67-80.
  11. Shin, K. J; et. al., 2005, An Analysis for Urban Change Using Satellite Images and GIS, Journal of Korean Geo-environmental Society, 6(4):73-80.
  12. Statistics Korea, 2012, A Study on the Quality Improvements of National Greenhouse Gas Inventories. DaeJeon.
  13. Sung. H. H; Park, O. J, 2000, A Study on distribution and change of NDVI with Land-Cover change in City of Sungnam, Journal of Korea Spatial Information Society, 8(2):275-288.

피인용 문헌

  1. Comparison of Sampling and Wall-to-Wall Methodologies for Reporting the GHG Inventory of the LULUCF Sector in Korea vol.9, pp.4, 2018, https://doi.org/10.15531/ksccr.2018.9.4.385