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2023 Vol.65, Issue 5 Preview Page
Estimating GHG Emissions from Agriculture at Detailed Spatial-scale in Geographical Unit

상세 공간단위 농업분야 온실가스 배출량 산정 방안 연구

Solhee Kima
,
Hyejin Jeonb
,
Ji Yon Choic
,
Il-Hwan Seod
,
Jeongbae Jeone
,
Taegon Kimf†
김 솔희a
,
전 혜진b
,
최 지연c
,
서 일환d
,
전 정배e
,
김 태곤f†
aAssistant Research Professor, Department of Smart Farm, Jeonbuk National University
bUndergraduate, Department of Smart Farm, Jeonbuk National University
cSenior Researcher, LOMA&RESEARCH
dAssistant Professor, Department of Rural Construction Engineering, Jeonbuk National University
eSenior Researcher, Spatial Information Research Institute, Korea Land and Geospatial Informatix Corporation
fAssistant Professor, Department of Smart Farm, Jeonbuk National University
a전북대학교 스마트팜학과 조교수
b전북대학교 스마트팜학과 학부
cLOMA & Research 수석 연구원
d전북대학교 농촌건설공학과 조교수
e한국국토지리정보공사 공간정보연구소 선임연구원
f전북대학교 스마트팜학과 조교수
† Corresponding author Tel.: +82-63-270-2557 E-mail: taegon@jbnu.ac.kr
2023. pp. 69-80
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Abstract

Carbon neutrality in agriculture can be derived from systematic GHG reduction policies based on quantitative environmental impact analysis of GHG-emitting activities. This study is to explore how to advance the calculation of carbon emissions from agricultural activities to the detailed spatial level 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 level by region for detailed spatial units, we constructed available activity data on carbon emission impact factors such as rice cultivation, agricultural land use, and livestock. We also built and verified detailed data on emission activities at the field level through field surveys. The GHG emissions were estimated by applying the latest national emission factors and regional emission factors according to the IPCC 2019 GL based on the field-level activity data. This study has significance that it explored ways to build activity data and calculate GHG emissions through statistical data and field surveys based on parcels, one of the smallest spatial units for regional carbon reduction strategies. It is expected that by utilizing the activity data surveyed for each field and the emission factor considering the activity characteristics, it will be possible to improve the accuracy of GHG emission calculation and quantitatively evaluate the effect of applying reduction policies.

Keywords
Carbon reduction
carbon neutrality
agriculture
spatial scale
GHG
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Information
  • Publisher :The Korean Society of Agricultural Engineers
  • Publisher(Ko) :한국농공학회
  • Journal Title :Journal of Korean Society of Agricultural Engineers
  • Journal Title(Ko) :한국농공학회논문집
  • Volume : 65
  • No :5
  • Pages :69-80
  • Received Date : 2023-06-27
  • Revised Date : 2023-07-12
  • Accepted Date : 2023-07-17
  • DOI :https://doi.org/10.5389/KSAE.2023.65.5.069
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