• Title/Summary/Keyword: Brute Force Method

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Analysis of PM2.5 Concentration and Contribution Characteristics in South Korea according to Seasonal Weather Patternsin East Asia: Focusing on the Intensive Measurement Periodsin 2015 (동아시아 지역의 계절별 기상패턴에 따른 우리나라 PM2.5 농도 및 기여도 특성 분석: 2015년 집중측정 기간을 중심으로)

  • Nam, Ki-Pyo;Lee, Dae-Gyun;Jang, Lim-Seok
    • Journal of Environmental Impact Assessment
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    • v.28 no.3
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    • pp.183-200
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    • 2019
  • 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.