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

Author:

Choi Sol-E1ORCID,Kim Moonil2ORCID,Son Yowhan3,Jeon Seong-Woo3,Lee Kyeong-Hak4,Kim Whijin3ORCID,Lee Sun-Jeoung1ORCID,Lee Woo-Kyun3ORCID

Affiliation:

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

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

3. Department of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea

4. Department of Forestry, Environment and Systems, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul 02707, 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, CO2 emissions and absorptions were estimated at 622.16 ktCO2yr−1 based on CDMs and 242.16 ktCO2yr−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.

Funder

National Research Foundation of Korea

National Institute of Forest Science

Ministry of Land, Infrastructure and Transport/Korea Agency for Infrastructure Technology Advancement

Publisher

MDPI AG

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