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Development of Activity Data for Greenhouse Gas Inventory in Settlements in South Korea

Author

Listed:
  • Sol-E Choi

    (Forest ICT Research Center, National Institute of Forest Science, 57 Hoegi-ro, Dongdaemun-gu, Seoul 02455, Republic of Korea)

  • Moonil Kim

    (Division of ICT-Integrated Environment, Pyeongtaek University, 111 Yongyi-Dong, Pyeongtaek-si 17869, Gyeonggi-do, Republic of Korea)

  • Yowhan Son

    (Department of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea)

  • Seong-Woo Jeon

    (Department of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea)

  • Kyeong-Hak Lee

    (Department of Forestry, Environment and Systems, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul 02707, Republic of Korea)

  • Whijin Kim

    (Department of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea)

  • Sun-Jeoung Lee

    (Forest ICT Research Center, National Institute of Forest Science, 57 Hoegi-ro, Dongdaemun-gu, Seoul 02455, Republic of Korea)

  • Woo-Kyun Lee

    (Department of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea)

Abstract

In South Korea, Agriculture, Forestry, and Other Land Use (AFOLU) collates greenhouse gas (GHG) inventories. However, the settlement category lacks a clear definition of land use and activity data. This study proposed a method for examining the settlement spatial extent and constructing activity data to estimate GHG emissions and absorption as a pilot calculation, as well as to provide data for land use classification. Utilizing cadastral maps (CDMs), settlement spatial extents were determined, with settlements occupying approximately 11% of the total land area in 2019, or 9% excluding overlaps. Activity data for settlements were established through a sampling method and analysis of aerial orthoimages from 2000 and 2019. After removing overlaps with digital forest type maps and smart farm maps, settlement activity data covered approximately 18.47% based on CDMs, or 12.66% excluding overlaps. In 2019, CO 2 emissions and absorptions were estimated at 622.16 ktCO 2 yr −1 based on CDMs and 242.16 ktCO 2 yr −1 , excluding overlaps. To enhance GHG inventory calculation consistency and compliance with TACCC principles, clear spatial extents for settlements must be established. This entails constructing activity data and assessing GHG inventories accordingly. GHG inventory statistics should also inform future nationally determined contributions.

Suggested Citation

  • Sol-E Choi & Moonil Kim & Yowhan Son & Seong-Woo Jeon & Kyeong-Hak Lee & Whijin Kim & Sun-Jeoung Lee & Woo-Kyun Lee, 2024. "Development of Activity Data for Greenhouse Gas Inventory in Settlements in South Korea," Land, MDPI, vol. 13(4), pages 1-21, April.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:4:p:497-:d:1374018
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    References listed on IDEAS

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    2. Janine Bloomfield & Holly Pearson, 2000. "Land Use, Land-Use Change, Forestry, and Agricultural Activities in the Clean Development Mechanism: Estimates of Greenhouse Gas Offset Potential," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 5(1), pages 9-24, March.
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