Chemical Composition and Source of PM2.5 during Winter Heating Period in Guanzhong Basin

Author:

Cao Lei12,Tao Yanan12,Zheng Hao12,Wang Mei3,Li Shiying4,Xu Yongjiang5,Li Mei56

Affiliation:

1. Shaanxi Environmental Monitoring Center Station, Xi’an 710043, China

2. Shaanxi Key Laboratory for Environmental Monitoring and Forewarning of Trace Pollutants, Xi’an 710054, China

3. Guangzhou Hexin Analytical Instrument Company Limited, Guangzhou 510530, China

4. Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China

5. Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for On-line Source Apportionment System of Air Pollution, Jinan University, Guangzhou 510632, China

6. Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China

Abstract

An intensive field campaign was carried out from December 2022 to March 2023 at six different sites across five major cities (Xi’an, Baoji, Xianyang, Weinan, and Hancheng) in the Guanzhong Basin, China, covering most of the heating period there, which is characterized by high PM2.5 pollution levels. During the campaign, the mean PM2.5 concentrations at these sites exceeded the 24 h PM2.5 standard (75 μg m−3), except the site at Hancheng, with mean PM2.5 concentrations of 57.8 ± 32.3 μg m−3. The source apportionment of PM2.5 varied significantly across sites, with vehicle exhaust being the dominant source at urban sites located in Xi’an and Baoji, coal combustion at suburban sites in Hancheng, and comparable contribution from coal combustion and industrial emissions at suburban sites in Xianyang and Weinan. Compared with clean condition, the contribution of vehicle exhaust and secondary inorganic sources (SIs) were largely enhanced during heavy PM2.5 pollution periods, while the contribution from biomass burning (BB) and dust decreased significantly at all sites. Combined with an analysis of meteorological parameters, the study further found that higher contributions of SIs and heavy PM2.5 pollution were generally associated with higher relative humidity (RH). In addition, higher PM2.5 concentrations at suburban sites were related to lower wind speeds, which could be explained by the stagnant condition favoring the accumulation of local emissions as well as the formation of secondary pollutants. In contrast, at urban sites (e.g., Xianyang), higher PM2.5 concentrations were more associated with the strong influence of vehicle exhaust at slightly higher wind speeds.

Funder

Key-Area Research and Development Program of Guangdong Province

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Atmospheric Science,Environmental Science (miscellaneous)

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