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

被引:1
|
作者
Lu, Pan [1 ,2 ,3 ]
Tuheti, Abula [1 ]
Deng, Shunxi [1 ,4 ]
Li, Guanghua [1 ]
Liu, Jiayao [1 ]
机构
[1] Changan Univ, Sch Water & Environm, Xian 710064, Peoples R China
[2] Xian Aeronaut Inst, Sch Energy & Architecture, Xian 710077, Peoples R China
[3] Changan Univ, Sch Architectural Engn, Xian 710064, Peoples R China
[4] Changan Univ, Minist Educ, Key Lab Subsurface Hydrol & Ecol Effect Arid Reg, Xian 710064, Peoples R China
关键词
PM2.5; vehicle emissions; inter-city transport; MOVES; CALPUFF; TIANJIN-HEBEI REGION; AIR-POLLUTION; URBAN AREA; POLLUTANTS; IMPACT; CHINA; DISPERSION; PREVENTION; CALPUFF; SEASON;
D O I
10.3390/atmos14121748
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 mu g/m(3), 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.
引用
收藏
页数:15
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