关中五市不同季节污染颗粒物输送路径及潜在源分析

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Abstract Based on the HYSPLIT backward trajectory model and the PSCF and CWT analysis methods in TrajStat, the temporal distribution characteristics and main transport paths of PM_2.5 pollution in the five cities of Guanzhong were analyzed using the meteorological data from March 2020~February 2023, and the distribution and contribution of potential source areas affecting the PM_2.5 mass concentration in the five cities of Guanzhong in different seasons were discussed. The average PM_2.5 concentration was the highest in winter (84.36μg/m³) and the lowest in summer (21.42μg/m³), and the monthly trend showed a "U" shape, and the concentration reached a trough in June~August. The air quality of the five cities was greatly affected by the short-distance transmission air mass in Shaanxi Province in all seasons, which should be related to the blocking of the maneuver by the Qinling Mountains. The seasonal differences in the potential source areas were obvious, the pollutant concentration was the lowest in spring and summer, the distribution range of the main contributing source area was the smallest, the most extensive in winter, the range of WCWT value exceeding 100μg/m³ was large, and the distribution area in the northwest direction and the southern part of Shaanxi Province and its surrounding provinces contributed more to the PM_2.5 concentration in the five cities. Air pollution is also affected by topography, and the pollution distribution of Tongchuan, which belongs to the basin topography, is different from that of the other four cities, and the pollution concentration is relatively low.

Key words： five cities in Guanzhong PM_2.5 backward trajectory transport pathway potential sources

Received: 04 January 2024

PACS:

X513

Corresponding Authors: 张新生,教授,zhangxs@xauat.edu.cn E-mail: zhangxs@xauat.edu.cn

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	SU Jia
	LI Xiao-meng
	ZHANG Xin-sheng

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SU Jia,LI Xiao-meng,ZHANG Xin-sheng. Analysis of transport path and potential source of polluted particulate matter in five cities of Guanzhong in different seasons[J]. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(8): 4249-4259.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2024/V44/I8/4249

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