상세 공간단위 농업분야 온실가스 배출량 산정 방안 연구
Estimating GHG Emissions from Agriculture at Detailed Spatial-scale in Geographical Unit
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초록
Carbon neutrality in agriculture can be derived from systematic GHG reduction policies based on quantitative environmental impact analysis ofGHG-emitting activities. This study is to explore how to advance the calculation of carbon emissions from agricultural activities to the detailed spatiallevel to a spatial Tier 3 level (Tier 2.5 level), methodologically beyond the Tier 2 approach. To estimate the GHG emissions beyond the Tier 2.5 levelby region for detailed spatial units, we constructed available activity data on carbon emission impact factors such as rice cultivation, agricultural landuse, and livestock. We also built and verified detailed data on emission activities at the field level through field surveys. The GHG emissions wereestimated by applying the latest national emission factors and regional emission factors according to the IPCC 2019 GL based on the field-level activitydata. This study has significance that it explored ways to build activity data and calculate GHG emissions through statistical data and field surveysbased on parcels, one of the smallest spatial units for regional carbon reduction strategies. It is expected that by utilizing the activity data surveyedfor each field and the emission factor considering the activity characteristics, it will be possible to improve the accuracy of GHG emission calculationand quantitatively evaluate the effect of applying reduction policies.
Abstract
Carbon neutrality in agriculture can be derived from systematic GHG reduction policies based on quantitative environmental impact analysis ofGHG-emitting activities. This study is to explore how to advance the calculation of carbon emissions from agricultural activities to the detailed spatiallevel to a spatial Tier 3 level (Tier 2.5 level), methodologically beyond the Tier 2 approach. To estimate the GHG emissions beyond the Tier 2.5 levelby region for detailed spatial units, we constructed available activity data on carbon emission impact factors such as rice cultivation, agricultural landuse, and livestock. We also built and verified detailed data on emission activities at the field level through field surveys. The GHG emissions wereestimated by applying the latest national emission factors and regional emission factors according to the IPCC 2019 GL based on the field-level activitydata. This study has significance that it explored ways to build activity data and calculate GHG emissions through statistical data and field surveysbased on parcels, one of the smallest spatial units for regional carbon reduction strategies. It is expected that by utilizing the activity data surveyedfor each field and the emission factor considering the activity characteristics, it will be possible to improve the accuracy of GHG emission calculationand quantitatively evaluate the effect of applying reduction policies.
참고문헌 (26)
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