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논문 기본 정보

자료유형
학술저널
저자정보
김근한 (한국환경연구원) 김동범 (내가시스템 기술연구소) 송영명 (내가시스템 기술연구소) 최희선 (한국환경연구원)
저널정보
한국기후변화학회 한국기후변화학회지 Journal of Climate Change Research Vol.12 No.6
발행연도
2021.12
수록면
691 - 700 (10page)
DOI
10.15531/KSCCR.2021.12.6.691

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초록· 키워드

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Urban air quality has a major impact on public health. Therefore, planning related to land use is becoming increasingly important from the perspective of urban planning, such as creation of green space for improvement of air quality in a city. Therefore, this study examined the relationships between air quality information from Korea"s air quality measurement network, sub-divided land cover map, and normalized difference vegetation index of green areas. For this purpose, buffer analysis was performed from 500 m to 5,000 m elevation, centering on the atmospheric measurement network. Multiple regression analysis was performed between the area of land cover objects included in the buffer space and the value obtained by dividing the area of green space by the normalized difference vegetation index of green space.
The corrected values of the multiple regression analysis results of NO₂ and O₃ were significant up to 5,000 m. Therefore, in this study, the total area of sub-divided land cover included in the 5,000 m buffer space and the normalized difference vegetation index of green areas were calculated in the air quality measurement network. Multiple regression analysis was performed between the calculated results and the concentrations of NO₂ and O₃ needed to obtain prediction equations. In the model, NO₂ showed a negative correlation with area of farmland, forest, grassland and NDVI of green / green areas and a positive correlation with residential and other artificial barren areas. For O₃, there was a positive correlation in paddy fields, crop fields, and forest areas. If the air pollutant prediction formula derived here is used in urban planning, it will be helpful in improving the air quality of a city.

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ABSTRACT
1. 서론
2. 연구범위 및 연구방법
3. 결과 및 고찰
4. 고찰 및 결론
References

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