Literature DB >> 31055101

Characteristics of chemical composition and seasonal variations of PM2.5 in Shijiazhuang, China: Impact of primary emissions and secondary formation.

Yuzhu Xie1, Zirui Liu2, Tianxue Wen3, Xiaojuan Huang4, Jingyun Liu5, Guiqian Tang3, Yang Yang6, Xingru Li7, Rongrong Shen3, Bo Hu3, Yuesi Wang8.   

Abstract

North China registers frequent air pollution episodes from high PM2.5 concentrations. Shijiazhuang is located at the intensive industrial zone of this region, but there is insufficient data on the chemical composition of PM2.5 and its sources in this city. In this study, the chemical and seasonal characteristics of PM2.5 in Shijiazhuang were investigated based on 12-h integrated PM2.5 measurements made over eight 1-month periods in each season between June 2014 and April 2016 (486 samples). The eight-season average concentration of PM2.5 was 138.8 μg m-3, and the major chemical components were secondary inorganic aerosol (SIA) species of sulfate, nitrate, and ammonium (41.5%), followed by organic matter (25.9%). The mass concentration and most of the chemical components of PM2.5 showed clear seasonal variation, with a winter-high and summer-low pattern. SO42- and NO3- were the dominant components at each pollution level in summer and autumn (18.1%-30.6% and 14.2%-27.0%, respectively). Sufficient gaseous oxidants (O3) concentrations and suitable meteorology conditions were observed in these two seasons. Highest SOR (0.61), SO42-/EC(10.8) and NOR (0.58), NO3-/EC (5.9) were found in summer and autumn, which indicated intense secondary transformation in these two seasons. Organic matter was the dominant species in winter, which increased from 17.1 μg m-3 for clean days (28.7% of PM2.5) to 169.1 μg m-3 (38.4% of PM2.5). The accumulation of primary emissions (coal combustion and biomass burning) was responsible for the increasing OM trend (especially for POC). The highest and leading proportion of mineral dust occurred in spring (20.3%-46.5%) as a result of higher wind speeds (up to 3 m/s). Potential source contribution function (PSCF) analyses implied that the border areas of Hebei, Henan and Shandong Provinces, together with the central area of Shanxi Province, contributed significantly to the PM2.5 pollution in Shijiazhuang, especially in autumn and winter.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chemical composition; PM(2.5); Primary emission; Secondary formation

Year:  2019        PMID: 31055101     DOI: 10.1016/j.scitotenv.2019.04.300

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

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Authors:  Meijin Chen; Qiujun Qin; Feifei Liu; Yixuan Wang; Chuangxin Wu; Yaqiong Yan; Hao Xiang
Journal:  Environ Res       Date:  2022-03-26       Impact factor: 8.431

2.  Global Importance of Hydroxymethanesulfonate in Ambient Particulate Matter: Implications for Air Quality.

Authors:  Jonathan M Moch; Eleni Dovrou; Loretta J Mickley; Frank N Keutsch; Zirui Liu; Yuesi Wang; Tracy L Dombek; Mikinori Kuwata; Sri Hapsari Budisulistiorini; Liudongqing Yang; Stefano Decesari; Marco Paglione; Becky Alexander; Jingyuan Shao; J William Munger; Daniel J Jacob
Journal:  J Geophys Res Atmos       Date:  2020-09-11       Impact factor: 4.261

3.  Effects of Early Pollution Control Measures on Secondary Species of PM2.5 in Jiaozuo, China.

Authors:  Junting Tang; Dangyu Song; Wanwan Ji; Liudan Fan
Journal:  ACS Omega       Date:  2021-01-05

Review 4.  PM2.5 exposure inducing ATP alteration links with NLRP3 inflammasome activation.

Authors:  Xiang Zeng; Dongling Liu; Weidong Wu; Xia Huo
Journal:  Environ Sci Pollut Res Int       Date:  2022-01-22       Impact factor: 5.190

5.  Evolution of organic carbon during COVID-19 lockdown period: Possible contribution of nocturnal chemistry.

Authors:  Zemin Feng; Feixue Zheng; Yongchun Liu; Xiaolong Fan; Chao Yan; Yusheng Zhang; Kaspar R Daellenbach; Federico Bianchi; Tuukka Petäjä; Markku Kulmala; Xiaolei Bao
Journal:  Sci Total Environ       Date:  2021-12-05       Impact factor: 7.963

  5 in total

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