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

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving the calculation method of GHG and air pollutant emissions in the agricultural energy sector

Geonjin Park, Jeong Kim, Pil-Su Kim, Sang-Jin Choi et al.
Journal of Climate Change Research
Regional Development and Environment
article

Improving the calculation method of GHG and air pollutant emissions in the agricultural energy sector

Geonjin Park, Jeong Kim, Pil-Su Kim, Sang-Jin Choi, Eunji Lee, Jae-Jak Nam
article en

Abstract

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.

Journal of Climate Change ResearchVol. 15(6)
Zero hunger
Openalex Percentile: Top 57%
Regional Development and Environment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Improving the calculation method of GHG and air pollutant emissions in the agricultural energy sector — Geonjin Park, Jeong Kim, et al. · Journal of Climate Change Research (2024) | TGRS Research Map | TGRS