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Relationship between GHG emission by industry field using K-means clustering and mean temperature change in Korea
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K-means 군집분석을 활용한 산업 분야별 배출되는 온실가스와 대한민국 평균기온 변화의 관계

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Type
Academic journal
Author
Youn Su Kim Kwang Yoon Song (조선대학교) In Hong Chang (조선대학교)
Journal
The Korean Data and Information Science Society Journal of the Korean Data And Information Science Society Vol.34 No.1 KCI Excellent Accredited Journal
Published
2023.1
Pages
9 - 22 (14page)
DOI
10.7465/jkdi.2023.34.1.9

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Relationship between GHG emission by industry field using K-means clustering and mean temperature change in Korea
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The causes of global warming are divided into natural causes and human-driven causes. Recent global warming has been identified as being caused by human development among human-driven causes. As the increase in greenhouse gas (GHG) is affecting global warming, research on GHG is being conducted in various industry fields. In the past, many studies have developed models focusing on GHG emission, or have focused on the relationship with the mean temperature, and have conducted research on GHG emission based on specific industry fields. In this study, K-means clusters are analyzed based on GHG generated in various industry fields, classified groups with statistically similar characteristics, and determined which industry fields affect the mean temperature change of CO₂, CH₄, and N₂O clusters among GHG. In addition, it was shown that the results of the comparative analysis were different from the results of the data dividing the entire data and the group. As a result of the analysis, CO₂, which has the highest GHG emission, should be managed first, followed by manufacturing and construction, energy, household, and agriculture-forest-fishing, which affect the mean temperature change.
#산업 분야 #온실가스 #지구온난화 #K-means 군집분석 #Global warming #greenhouse gas #industry field #k-means clustering

Contents

요약
1. 서론
2. 데이터 정보
3. 군집분석
4. 분석 결과
5. 결론
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