[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.14249/eia.2019.28.3.183

Analysis of PM_2.5 Concentration and Contribution Characteristics in South Korea according to Seasonal Weather Patternsin East Asia: Focusing on the Intensive Measurement Periodsin 2015

Nam, Ki-Pyo (Air Quality Forecasting Center, Climate and Air Quality Research Department, NIER)
Lee, Dae-Gyun (Air Quality Forecasting Center, Climate and Air Quality Research Department, NIER)
Jang, Lim-Seok (Air Quality Forecasting Center, Climate and Air Quality Research Department, NIER)

Publication Information

Journal of Environmental Impact Assessment / v.28, no.3, 2019 , pp. 183-200 More about this Journal

Abstract

In this study, the characteristics of seasonal $PM_{2.5}$ behavior in South Korea and other Northeast Asian regions were analyzed by using the $PM_{2.5}$ ground measurement data, weather data, WRF and CMAQ models. Analysis of seasonal $PM_{2.5}$ behavior in Northeast Asia showed that $PM_{2.5}$ concentration at 6 IMS sites in South Korea was increased by long-distance transport and atmospheric congestion, or decreased by clean air inflow due to seasonal weather characteristics. As a result of analysis by applying BFM to air quality model, the contribution from foreign countries dominantly influenced the $PM_{2.5}$ concentrations of Baengnyeongdo due to the low self-emission and geographical location. In the case of urban areas with high self-emissions such as Seoul and Ulsan, the $PM_{2.5}$ contribution from overseas was relatively low compared to other regions, but the standard deviation of the season was relatively high. This study is expected to improve the understanding of the air pollutant phenomenon by analyzing the characteristics of $PM_{2.5}$ behavior in Northeast Asia according to the seasonal weather condition change. At the same time, this study can be used to establish the air quality policy in the future, knowing that the contribution of $PM_{2.5}$ concentration to the domestic and overseas can be different depending on the regional emission characteristics.

Keywords

$PM_{2.5}$ ; East Asia; Behavior characteristics; WRF; CMAQ;

Citations & Related Records

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