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- OpenAccess
The Source Apportionment of Primary PM_(2.5) in an Aerosol Pollution Event over Beijing-Tianjin-Hebei Region using WRF-Chem, China
摘要
The Weather Research and Forecasting model coupled to Chemistry (WRF-Chem model) was modified with an online primary PM_(2.5) source-apportionment method to simulate a severe aerosol pollution episode that occurred over the Beijing- Tianjin-Hebei (BTH) region of China from October 29 to November 8, 2015. The temporal and spatial distributions and transport characteristics of this episode were examined, and the quantified primary PM_(2.5) contributions by various geographical source regions to the BTH region were also analyzed in this study. The results showed that pollution in this region was mainly due to the combined effects of the synoptic conditions, terrain, and boundary layer characteristics. Before the heavy pollution event, the most parts of the BTH region were controlled by northwest wind, and the local primary PM_(2.5) contribution to the BTH region accounted for 90.7%. During the heavy pollution period, the BTH region was under isobaric synoptic conditions with light horizontal winds and a stable temperature stratification structure and a lower PBLH, allowing pollutants to accumulate easily in the region. Large quantities of pollutants were transported to the BTH region from Shandong, Jiangsu, Anhui, and Henan provinces via the southerly wind, accounting for 11.6%, 9.2%, 6.7%, 11.8%, respectively. Furthermore, pollutants accumulated more significantly under a stable boundary layer structure and the northwest-southeast terrain structure. Therefore, regional contributions increased, and other polluted areas, especially the long-distance transport from a source in the Yangtze River Delta city group region, contributed about 15.9%. It should be noted that the percentage of primary PM_(2.5) within the total PM_(2.5) in the study period almost exceeded 50%, and in the BTH region nearly surpassed 60%. To a certain extent, primary PM_(2.5) can help characterize total PM_(2.5).
被引用紀錄
延伸閱讀
- 吳昀叡（2010）。Secondary aerosols with hourly measurements of air pollution events in Taichung the association with the atmospheric transmission〔碩士論文，中山醫學大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0003-0309201009280100
- Ding, H. (2019). Analysis On The Characteristics Of A Typical Regional Heavy Air Pollution Episode In Eastern China During January 2018. International Core Journal of Engineering, 5(9), 95-98. https://doi.org/10.6919/ICJE.201908_5(9).0014
- Li, L., Cheng, S., Li, J., Lang, J., & Chen, D. (2013). Application of MM5-CAMx-PSAT Modeling Approach for Investigating Emission Source Contribution to Atmospheric SO_2 Pollution in Tangshan, Northern China. Mathematical Problems in Engineering, 2013(), 602-613-059. https://doi.org/10.1155/2013/136453
- Ma, Q., Wu, Y., Tao, J., Xia, Y., Liu, X., Zhang, D., Han, Z., Zhang, X., & Zhang, R. (2017). Variations of Chemical Composition and Source Apportionment of PM_(2.5) during Winter Haze Episodes in Beijing. Aerosol and Air Quality Research, 17(11), 2791-2803+a35-a37. https://doi.org/10.4209/aaqr.2017.10.0366
- Chen, D., Xie, X., Zhou, Y., Lang, J., Xu, T., Yang, N., Zhao, Y., & Liu, X. (2017). Performance Evaluation of the WRF-Chem Model with Different Physical Parameterization Schemes during an Extremely High PM_(2.5) Pollution Episode in Beijing. Aerosol and Air Quality Research, 17(1), 262-277. https://doi.org/10.4209/aaqr.2015.10.0610