Characteristics and Source Analysis of Water-soluble Inorganic Pollution in PM2.5 During Summer in Central China

被引：1

作者：

Su Y.-W. ^{[1
]}

Liu W.-J. ^{[1
]}

Mao Y. ^{[2
]}

Cheng C. ^{[1
]}

Shi M.-M. ^{[1
]}

Xu A. ^{[1
]}

Li X.-Y. ^{[1
]}

Hu T.-P. ^{[1
]}

Qi S.-H. ^{[2
]}

Xing X.-L. ^{[1
,2
]}

机构：

[1] School of Environmental Studies, China University of Geosciences, Wuhan

[2] State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan

来源：

Huanjing Kexue/Environmental Science | 2022年 / 43卷 / 02期

关键词：

Central China; PCA-MLR; PM[!sub]2.5[!/sub; Pollution characteristics; Potential source area; Water-soluble ions;

D O I：

10.13227/j.hjkx.202106213

中图分类号：

学科分类号：

摘要：

In order to investigate the pollution characteristics and sources of water-soluble ions in atmospheric PM2.5 in different regions of central China during summer, Wuhan, Suizhou, and Pingdingshan were selected as urban, suburban, and rural monitoring stations, respectively, to collect PM2.5 samples, and the mass concentration of PM2.5 in the atmosphere and the contents of eight water-soluble ions were analyzed. The results showed that ρ(water-soluble ions) at the three sites showed obvious spatial distribution characteristics, with Pingdingshan [(36.29±9.82) μg•m-3]>Wuhan [(32.55±10.05) μg•m-3]>Suizhou [(26.10±6.23) μg•m-3], accounting for 52.47%, 51.32%, and 48.61% of the PM2.5 mass concentration, respectively. In the Pingdingshan station, the proportion of water-soluble ions was the largest due to biomass combustion in the rural area. Additionally, SNA (SO42-, NO3-, and NH4+) were the main ionic components, accounting for 95.65%, 96.12%, and 97.33% of the total water-soluble ions, respectively. The mean values of SOR of the Wuhan (0.64) and Suizhou (0.63) stations were higher than that of the Pingdingshan station (0.50), whereas the NOR values of the Wuhan (0.18) and Pingdingshan (0.19) stations were higher than that of the Suizhou station (0.15). The difference in SOR and NOR among stations was affected by the secondary conversion mechanism, the ammonia-rich environment, and the surrounding traffic sources, respectively. The PM2.5 at the Wuhan and Pingdingshan stations was in general alkaline, whereas at the Suizhou station it was neutral or weakly acidic, which was mainly caused by differences in NH4+. NH4+ mainly existed in the form of (NH4)2SO4 and NH4NO3 at the Wuhan and Pingdingshan stations, whereas at the Suizhou station it mainly existed in the form of (NH4)2SO4 or (NH4)HSO4. PCA-MLR analysis revealed that the Wuhan (89.27%) and Suizhou (67.38%) stations were the most affected by secondary conversion sources, whereas the Wuhan station was also affected by industrial sources (8.54%) and coal sources (2.27%). The pollution sources of the Suizhou station also included biomass combustion (24.42%) and dust sources (8.25%). The Pingdingshan station was most affected by biomass combustion (58.37%), followed by dust and combustion sources (38.05%) and traffic sources (3.58%). The analysis of potential sources of SNA (PSCF) showed that the main potential source areas of Wuhan were the boundary of Hubei, Henan, and Anhui and the southwest area of Anhui. Suizhou and Pingdingshan were affected by long-distance transport, and the main potential source regions were distributed in Shanghai, Jiangsu, and Anhui provinces from the east coast to the west. © 2022, Science Press. All right reserved.

引用

页码：619 / 628

页数：9

共 40 条

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