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Open AccessArticle

Transport Pathways and Potential Source Region Contributions of PM2.5 in Weifang: Seasonal Variations

Chinese Academy of Surveying and Mapping, Beijing 100830, China
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Appl. Sci. 2020, 10(8), 2835; https://doi.org/10.3390/app10082835
Received: 3 March 2020 / Revised: 13 April 2020 / Accepted: 14 April 2020 / Published: 20 April 2020
(This article belongs to the Special Issue Advances in Air Quality Monitoring and Assessment)
As air pollution becomes progressively more serious, accurate identification of urban air pollution characteristics and associated pollutant transport mechanisms helps to effectively control and alleviate air pollution. This paper investigates the pollution characteristics, transport pathways, and potential sources of PM2.5 in Weifang based on PM2.5 monitoring data from 2015 to 2016 using three methods: Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT), the potential source contribution function (PSCF), and concentration weighted trajectory (CWT). The results show the following: (1) Air pollution in Weifang was severe from 2015 to 2016, and the annual average PM2.5 concentration was more than twice the national air quality second-level standard (35 μg/m3). (2) Seasonal transport pathways of PM2.5 vary significantly: in winter, spring and autumn, airflow from the northwest and north directions accounts for a large proportion; in contrast, in summer, warm-humid airflows from the ocean in the southeastern direction dominate with scattered characteristics. (3) The PSCF and CWT results share generally similar characteristics in the seasonal distributions of source areas, which demonstrate the credibility and accuracy of the analysis results. (4) More attention should be paid to short-distance transport from the surrounding areas of Weifang, and a joint pollution prevention and control mechanism is critical for controlling regional pollution. View Full-Text
Keywords: PM2.5; spatiotemporal characteristics; back-trajectory clustering; potential source contribution; concentration weighted trajectory PM2.5; spatiotemporal characteristics; back-trajectory clustering; potential source contribution; concentration weighted trajectory
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MDPI and ACS Style

Li, C.; Dai, Z.; Liu, X.; Wu, P. Transport Pathways and Potential Source Region Contributions of PM2.5 in Weifang: Seasonal Variations. Appl. Sci. 2020, 10, 2835. https://doi.org/10.3390/app10082835

AMA Style

Li C, Dai Z, Liu X, Wu P. Transport Pathways and Potential Source Region Contributions of PM2.5 in Weifang: Seasonal Variations. Applied Sciences. 2020; 10(8):2835. https://doi.org/10.3390/app10082835

Chicago/Turabian Style

Li, Chengming; Dai, Zhaoxin; Liu, Xiaoli; Wu, Pengda. 2020. "Transport Pathways and Potential Source Region Contributions of PM2.5 in Weifang: Seasonal Variations" Appl. Sci. 10, no. 8: 2835. https://doi.org/10.3390/app10082835

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