기후인자와 관련된 동아시아 봄과 가을 PM 2.5 농도 이해
Understanding PM 2.5 Concentration Associated with Climate Indicators in Spring and Fall over East Asia
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초록
Due to the adverse impacts of PM 2.5, particulate matter less than 2.5µg/m 3 , understanding their concentration mechanisms related to atmospheric processes is crucial. Various types of aerosol emission and meteorological conditions are the dominant factors of changing PM 2.5 concentration in the atmosphere. Therefore PM 2.5 emission has been controlled and its relationship with meteorological conditions has been actively researched. In this study, we identify the spatial patterns of high and low concentrations of PM 2.5 obtained from MERR A2 and investigate how PM 2.5 differences are associated with climate indicators, such as precipitation and vertical velocity, over the East Asia region in spring and fall. The results of Empirical Orthogonal Function (EOF) analysis show that most high concentration appears over inland east China from 2000-2013 in both spring and fall. Our results indicate that a combination of a strong downward vertical velocity, less precipitation, and cyclonic circulation at 850hPa interrupting PM 2.5 moving towards the downwind region, influences on high concentration over the PM 2.5 source region in spring. Similar to spring, less precipitation and downward vertical velocity pattern with weaker intensity appears in the fall with high PM 2.5. In the case of low PM 2.5, both spring and fall show more precipitation and a relatively strong upward vertical velocity. This work indicates that different meteorological conditions, particularly precipitation and vertical velocity, are associated with PM 2.5 concentration over the source region in spring and fall.
Abstract
Due to the adverse impacts of PM 2.5, particulate matter less than 2.5µg/m 3 , understanding their concentration mechanisms related to atmospheric processes is crucial. Various types of aerosol emission and meteorological conditions are the dominant factors of changing PM 2.5 concentration in the atmosphere. Therefore PM 2.5 emission has been controlled and its relationship with meteorological conditions has been actively researched. In this study, we identify the spatial patterns of high and low concentrations of PM 2.5 obtained from MERR A2 and investigate how PM 2.5 differences are associated with climate indicators, such as precipitation and vertical velocity, over the East Asia region in spring and fall. The results of Empirical Orthogonal Function (EOF) analysis show that most high concentration appears over inland east China from 2000-2013 in both spring and fall. Our results indicate that a combination of a strong downward vertical velocity, less precipitation, and cyclonic circulation at 850hPa interrupting PM 2.5 moving towards the downwind region, influences on high concentration over the PM 2.5 source region in spring. Similar to spring, less precipitation and downward vertical velocity pattern with weaker intensity appears in the fall with high PM 2.5. In the case of low PM 2.5, both spring and fall show more precipitation and a relatively strong upward vertical velocity. This work indicates that different meteorological conditions, particularly precipitation and vertical velocity, are associated with PM 2.5 concentration over the source region in spring and fall.
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