Chemical Compositions and Source Analysis of PM2.5 during Autumn and Winter in a Heavily Polluted City in China

As one of the biggest cities in North China, Jinan has been suffering heavy air pollution in recent decades. To better characterize the ambient particulate matter in Jinan during heavy pollution periods, we collected daily PM<sub>2.5</sub> (particulate matter with aerodynamic diameters e...

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Bibliographic Details
Main Authors: Shasha Tian, Yingying Liu, Jing Wang, Jian Wang, Lujian Hou, Bo Lv, Xinhua Wang, Xueyan Zhao, Wen Yang, Chunmei Geng, Bin Han, Zhipeng Bai
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Atmosphere
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Online Access:https://www.mdpi.com/2073-4433/11/4/336
Description
Summary:As one of the biggest cities in North China, Jinan has been suffering heavy air pollution in recent decades. To better characterize the ambient particulate matter in Jinan during heavy pollution periods, we collected daily PM<sub>2.5</sub> (particulate matter with aerodynamic diameters equal to or less than 2.5 μm) filter samples from 15 October 2017 to 31 January 2018 and analyzed their chemical compositions (including inorganic water-soluble ions (WSIs), carbonaceous species, and inorganic elements). The daily average concentration of PM<sub>2.5</sub> was 83.5 μg/m<sup>3</sup> during the sampling period. A meteorological analysis revealed that both low wind speed and high relative humidity facilitated the occurrence of high PM<sub>2.5</sub> pollution episodes. A chemical analysis indicated that high concentrations of water-soluble ions, carbonaceous species, and elements were observed during heavy pollution days. The major constituents of PM<sub>2.5</sub> in Jinan were secondary aerosol particles and organic matter based on the results of mass closure. Chemical Mass Balance (CMB) was used to track possible sources and identified that nitrate, sulfate, vehicle exhaust and coal fly ash were the main contributors to PM<sub>2.5</sub> during heavy pollution days in Jinan, accounting for 25.4%, 18.6%, 18.2%, and 13.3%, respectively.
ISSN:2073-4433