Background concentration of atmospheric PM2.5 in the Beijing–Tianjin–Hebei urban agglomeration: Levels, variation trends, and influences of meteorology and emission

Gao, Shuang; Yu, Jie; Yang, Wen; Qu, Fangyu; Chen, Li; Sun, Ying; Zhang, Hui; Mao, Jian; Hong, Zhao; Azzi, Merched; Zhang, Bai

doi:10.1016/j.apr.2022.101583

Cited by 9 publications

(1 citation statement)

References 46 publications

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“…In recent years, the rapid development of the economy and the acceleration of industrialization and urbanization have led to an increasingly serious air pollution problem in China [1,2]. Regional air pollution caused by fine particulate matter (PM 2.5 ) frequently occurs in several key regions in China, such as the Beijing-Tianjin-Hebei (BTH) region [3,4], the Yangtze River Delta (YRD) [5,6], and the Guanzhong Plain (GZP) [7][8][9]. High ambient PM 2.5 concentrations have negative impacts on atmospheric visibility, regional climate, and human health.…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution and Inter-City Transport of PM2.5 Concentrations from Vehicles in the Guanzhong Plain in Winter

Lu,

Tuheti,

Deng

et al. 2023

Atmosphere

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Regional atmospheric environmental problems have become increasingly prominent due to continuous urbanization in China. In this study, the Weather Research and Forecasting (WRF) model coupled with the California Puff (CALPUFF) air quality model was applied to analyze the spatial distribution and inter-city transport of primary and secondary PM2.5 concentrations from vehicles in the Guanzhong Plain (GZP) in January 2019. The results show that the secondary PM2.5 concentration emitted by vehicles was more easily dispersed than primary PM2.5. The maximum hourly average concentrations of primary PM2.5, secondary inorganic aerosol (SIA), and secondary organic aerosol (SOA) were about 18, 9, and 2 µg/m3, respectively. Exhaust emission and secondary NO3− were the main contributors to the total PM2.5 concentration from vehicles, accounting for about 52% and 32%, respectively. The maximum contribution of vehicle emissions to the ambient PM2.5 concentration was about 19%. Inter-city transport contributed about 33% of the total PM2.5 concentration from vehicles in cities in the GZP on average. Among the PM2.5 components transported in each city, SIA was the most abundant, followed by primary PM2.5, and SOA was the least. These findings will provide valuable insights for mitigating the regional PM2.5 pollution caused by near-surface sources in urban agglomerations.

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