The impacts of regional transport on anthropogenic source contributions of PM2.5 in a basin China

被引:6
作者
Liu, Huikun [1 ]
Wang, Qiyuan [1 ,2 ,3 ]
Wei, Peng [4 ]
Zhang, Qian [5 ]
Qu, Yao [1 ]
Zhang, Yong [1 ]
Tian, Jie [1 ]
Xu, Hongmei [6 ]
Zhang, Ningning [1 ]
Shen, Zhenxing [6 ]
Su, Hui [1 ]
Han, Yongming [1 ,2 ,3 ]
Cao, Junji [7 ,8 ]
机构
[1] Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Peoples R China
[2] CAS Ctr Excellence Quaternary Sci & Global Change, Xian 710061, Peoples R China
[3] Guanzhong Plain Ecol Environm Change & Comprehens, Xian 710061, Peoples R China
[4] Chinese Res Inst Environm Sci, Beijing 100012, Peoples R China
[5] Xian Univ Architecture & Technol, Key Lab Northwest Resource Environm & Ecol, MOE, Xian 710055, Peoples R China
[6] Xi An Jiao Tong Univ, Dept Environm Sci & Engn, Xian 710049, Peoples R China
[7] Shaanxi Key Lab Atmospher & Haze fog Pollut Preven, Xian 710061, Peoples R China
[8] Chinese Acad Sci, Inst Atmospher & Phys, Beijing 100029, Peoples R China
关键词
PM2.5 source apportionment; Regional transport; Guanzhong basin; RIVER DELTA REGION; SOURCE APPORTIONMENT; PARTICULATE MATTER; CHEMICAL-COMPOSITION; AIR-POLLUTION; BLACK CARBON; WINTER HAZE; MODEL; URBAN; EMISSIONS;
D O I
10.1016/j.scitotenv.2024.170038
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
PM2.5 pollution events are often happened in urban agglomeration locates in mountain-basin regions due to the complex terra and intensive emissions. Source apportionment is essential for identifying the pollution sources and important for developing local mitigation strategies, however, it is influenced by regional transport. To understand how the regional transport influences the atmospheric environment of a basin, we connected the PM2.5 source contributions estimated by observation-based receptor source apportionment and the regional contributions estimated by a tagging technology in the comprehensive air quality model with extensions (CAMx) via an artificial neural network (ANNs). The result shows that the PM2.5 in Xi'an was from biomass burning, coal combustion, traffic related emissions, mineral dust, industrial emissions, secondary nitrate and sulfate. 48.8 % of the PM2.5 in study period was from Xi'an, then followed by the outside area of Guanzhong basin (28.2 %), Xianyang (14.6 %) and Weinan (5.8 %). Baoji and Tongchuan contributed trivial amount. The sensitivity analysis showed that the transported PM2.5 would lead to divergent results of source contributions at Xi'an. The transported PM2.5 from the outside has great a potential to alter the source contributions implying a large uncertainty of the source apportionment introduced when long-range transported pollutants arrived. It suggests that a full comprehension on the impacts of regional transport can lower the uncertainty of the local PM2.5 source apportionment and reginal collaborative actions can be of great use for pollution mitigation.
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页数:11
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