2019년 국내 미세먼지 농도와 기상 요소와의 관련성( I ) -미세먼지 농도의 변동성-
Relationship between PM10 Concentration and Weather Elements in 2019, South Korea (Ⅰ): Variability of PM10 Concentration
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This study tries to reveal variability and periodicity of PM10 concentration and their causes in 2019, based on 23 weather stations in South Korea. The Seoul and Ulleungdo weather stations show the highest and lowest yearly averaged PM10 concentration, respectively, while the largest and smallest yearly coefficient of variations are found over the Cheonan and Jinju weather stations, respectively. It is also revealed that PM10 concentration in spring or winter is higher than summer or fall, with larger seasonal coefficient of variations in spring and fall than summer and winter. The yearly averaged PM10 concentration shows certain pattern of decrease with a direction of NW-SE, suggestive of more regional influences in the yearly averaged PM10 concentration. However, some of the weather stations indicate that local influences are also reflected in the yearly averaged PM10 concentration. Because number of identified peaks from 7-day moving average also displays similar pattern to the yearly averaged PM10 concentration, variability of PM10 concentration is partly attributed to the regional influences. However, local factors also seem to exert influences on the variability due to large differences by weather station. Based on number of peaks by season, it is suggested that spring and winter indicate more variability than summer and fall do.
Abstract
This study tries to reveal variability and periodicity of PM10 concentration and their causes in 2019, based on 23 weather stations in South Korea. The Seoul and Ulleungdo weather stations show the highest and lowest yearly averaged PM10 concentration, respectively, while the largest and smallest yearly coefficient of variations are found over the Cheonan and Jinju weather stations, respectively. It is also revealed that PM10 concentration in spring or winter is higher than summer or fall, with larger seasonal coefficient of variations in spring and fall than summer and winter. The yearly averaged PM10 concentration shows certain pattern of decrease with a direction of NW-SE, suggestive of more regional influences in the yearly averaged PM10 concentration. However, some of the weather stations indicate that local influences are also reflected in the yearly averaged PM10 concentration. Because number of identified peaks from 7-day moving average also displays similar pattern to the yearly averaged PM10 concentration, variability of PM10 concentration is partly attributed to the regional influences. However, local factors also seem to exert influences on the variability due to large differences by weather station. Based on number of peaks by season, it is suggested that spring and winter indicate more variability than summer and fall do.
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