정책연구자료

(다중회귀분석을 통한) 서울시 일부 지점의 대기오염물질 농도와 기상인자간의 상관성분석[Analysis of the Relation Between Air Pollutants and Meteorological Factors in Specific Site in Seoul (Through Multiple Regression Analysis)]

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초록

This study was performed to determine the relationship between air pollutants and
meteorological factors such as wind direction, wind speed, etc. in Seoul. The
measurement data were collected in background and border monitoring networks in
Seoul, from December 2014 to November 2015. The wind rose was generated for each
season using these data. The data were analyzed using the 2-Way ANOVA and multiple
regression analysis. Gwanaksan had the highest wind speed across the four seasons,
while Namsan had the lowest. Segok had the highest concentration of all pollutants
except O3, while Bukhansan had the lowest. In Gwanaksan, there was no difference in
concentration due to the interaction between wind direction and wind speed during
winter, while in Namsan, there was no difference during the rest of the seasons, except
winter. NO2 and CO showed a negative correlation with wind speed, while O3 showed
a positive correlation with wind speed and pollutant concentration. PM10 and PM2.5
showed a weak correlation with wind speed, except during summer, when they showed
a negative correlation. Gungdong had the lowest adjusted Ra2 value among all the
pollutants except during winter, while Segok had a higher adjusted Ra2 value for
gaseous pollutants.
This study was performed to determine the relationship between air pollutants and
meteorological factors such as wind direction, wind speed, etc. in Seoul. The
measurement data were collected in background and border monitoring networks in
Seoul, from December 2014 to November 2015. The wind rose was generated for each
season using these data. The data were analyzed using the 2-Way ANOVA and multiple
regression analysis. Gwanaksan had the highest wind speed across the four seasons,
while Namsan had the lowest. Segok had the highest concentration of all pollutants
except O3, while Bukhansan had the lowest. In Gwanaksan, there was no difference in
concentration due to the interaction between wind direction and wind speed during
winter, while in Namsan, there was no difference during the rest of the seasons, except
winter. NO2 and CO showed a negative correlation with wind speed, while O3 showed
a positive correlation with wind speed and pollutant concentration. PM10 and PM2.5
showed a weak correlation with wind speed, except during summer, when they showed
a negative correlation. Gungdong had the lowest adjusted Ra2 value among all the
pollutants except during winter, while Segok had a higher adjusted Ra2 value for
gaseous pollutants.

문서 정보

(다중회귀분석을 통한) 서울시 일부 지점의 대기오염물질 농도와 기상인자간의 상관성분석[Analysis of the Relation Between Air Pollutants and Meteorological Factors in Specific Site in Seoul (Through Multiple Regression Analysis)] - 문서정보 : 관리번호, 등록일, 유형, 생산년도, 분야, 지역, 원본시스템, 제공부서, 작성자(책임자), 생산일, 소요예산, 라이센스
관리번호 D0000027865343 등록일 20161030
유형 정책연구자료 생산년도 2015
분야 기타 지역 서울시 전체
원본시스템 보건환경연구원 제공부서 보건환경연구원
작성자(책임자) 서광석 생산일 2016-10-28
소요예산
이용조건Creative Comoons License(저작자표시-비영리-변경금지) 3.0 마크공공누리 공공저작물 자유이용허락(제4유형 : 출처표시 + 상업적 이용금지 + 변경금지)