https://scholars.lib.ntu.edu.tw/handle/123456789/462921
標題: | Design and application of a hybrid assessment of air quality models for the source apportionment of PM<inf>2.5</inf> | 作者: | Lai, H.-C. Ma, H.-W. Chen, C.-R. Hsiao, M.-C. Pan, B.-H. HWONG-WEN MA |
關鍵字: | AERMOD; CMAQ; Hybrid air quality model; Primary PM2.5; Secondary PM2.5; Source apportionment | 公開日期: | 2019 | 卷: | 212 | 起(迄)頁: | 116-127 | 來源出版物: | Atmospheric Environment | 摘要: | Increasing levels of air pollution greatly affect the environment and human health; air quality control is therefore of particular importance. To improve the efficiency of air pollution control, reliable air quality models for source apportionment are critically in need. The multitude of air quality models to find the sources of air pollution, however, have their own limitations. Hence, this study seeks to integrate different air quality models, including a diffusion model (AERMOD) and a grid model (CMAQ), employing initial meteorological fields provided by the Weather Research and Forecasting (WRF) model. Using the advantages of these models, this study builds a hybrid air quality model, which provides a more effective analysis of the distribution of primary pollutants, secondary pollutants, and other environmental information. Two significant fine particulate matter (PM2.5) events were selected in this study to discuss the influence of the Taichung coal-fired power plant and the Taichung traffic source on the PM2.5 in the Taichung area, as well as to evaluate the performance of the hybrid model. Simulation results for the two cases show that if the coal-fired power loads are reduced by 20% (around 1100 MW), the concentration of PM2.5 in the Taichung area will decrease by 0.5%; such decrease will reach 1.25% when the power load reduction is 40%. If the traffic source is reduced by 20%, the concentration of PM2.5 in the Taichung area will decrease by 4.3%, and by 6.6% with 30% traffic source reduction. The hybrid model shows that the contribution of different pollution sources can be illuminated to support air quality control strategies. ? 2019 Elsevier Ltd |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/462921 | DOI: | 10.1016/j.atmosenv.2019.05.038 | SDG/關鍵字: | Air quality; Coal; Fossil fuel power plants; Quality control; Weather forecasting; AERMOD; Air quality modeling; CMAQ; Primary PM2.5; Secondary PM2.5; Source apportionment; Air pollution control; air quality control; article; case report; clinical article; diffusion; electric power plant; forecasting; human; particulate matter; pollutant; simulation; weather |
顯示於: | 環境工程學研究所 |
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