Improving the calculation method of GHG and air pollutant emissions in the agricultural energy sector
Recently, in addition to existing greenhouse gases (GHG), analysis and evaluation of short-lived climate forcers (SLCF) that affect climate change have become important, and the need for integrated management has emerged to achieve carbon neutrality. However, in the domestic agricultural energy sector, there are differences in the classification systems and activity data applied to the inventory of GHG and air pollutants, making it difficult to link them. In other words, if we consider the correlation between GHG and air pollutants emitted simultaneously when using fuel, a detailed inventory requires the use of the same source classification system and activity data. This study aimed to create an inventory by calculating GHG and air pollutant emissions based on the same activity data from the agricultural energy sector. The classification system was based on agricultural machinery as prescribed by relevant laws and regulations, and the activity data were those of tax-free oil. The inventory created based on the results of this study is expected to be utilized for efficient integrated management of carbon neutrality and air improvement policies in the relatively undervalued agricultural energy sector.
Authors
- Geonjin Park (ORCID: https://orcid.org/0000-0003-0223-1999)
- Jeong Kim (ORCID: https://orcid.org/0009-0000-5718-0004)
- Pil-Su Kim (ORCID: https://orcid.org/0000-0003-0260-5110)
- Sang-Jin Choi
- Eunji Lee (ORCID: https://orcid.org/0000-0001-5046-3060)
- Jae-Jak Nam
Publication Details
- Journal
- Journal of Climate Change Research
- Published
- 2024-12-31
- DOI
- https://doi.org/10.15531/ksccr.2024.15.6.1129
- Primary Topic
- Regional Development and Environment
- Type
- article
- Field-Weighted Citation Impact
- 0.00