Literature DB >> 30654259

Investigating the PM2.5 mass concentration growth processes during 2013-2016 in Beijing and Shanghai.

Jinjin Sun1, Mingjie Liang1, Zhihao Shi1, Fuzhen Shen1, Jingyi Li1, Lin Huang1, Xinlei Ge1, Qi Chen2, Yele Sun3, Yanlin Zhang4, Yunhua Chang4, Dongsheng Ji3, Qi Ying5, Hongliang Zhang6, Sri Harsha Kota7, Jianlin Hu8.   

Abstract

The North China Plain and the Yangtze River Delta are the two of the most heavily polluted regions in China. Observational studies revealed that 'explosive' PM2.5 mass concentration growths frequently occurred in the two regions. This study analyzed all the PM2.5 mass concentration growth processes from clean condition (i.e., <35 μg m-3) to heavy pollution condition (i.e., >150 μg m-3) in Beijing (BJ) and Shanghai (SH), two representative cities of the two regions, using hourly monitored PM2.5 concentrations during 2013-2016. 173 and 76 growth processes were identified in BJ and SH, respectively. PM2.5 rising rates (PMRR) and dynamic growth durations were calculated to illustrate the characteristics of the growth processes. Hourly particulate chemical composition data and meteorological data in BJ and SH were further analyzed. The 4-year averaged PMRR of PM2.5 total mass were similarly of 7.11 ± 9.82 μg m-3 h-1 in BJ and 6.71 ± 6.89 μg m-3 h-1 in SH. A decreasing trend was found for the PM2.5 growth processes in two cities from 2013 to 2016, reflecting the effectiveness of emission controls implemented in the past years. The contributions of particulate components to the PM2.5 total mass growth were different in BJ and SH. Average PMRR value of PM1 organic aerosols (OA), SO42-, NO3-, and NH4+ in BJ was 1.90, 0.95, 0.82, and 0.53 μg m-3 h-1, respectively. Average PMRR of PM2.5 OA, SO42-, NO3-, and NH4+ in SH was 1.70, 1.18, 1.99 and 1.14 μg m-3 h-1, respectively. Based on the contributions of different components, the PM2.5 mass concentration growth processes in BJ and SH were proposed to be classified into 'other components-dominant growth processes', 'all components-contributing growth processes', 'one or more explosive secondary components-dominant growth processes', and 'mixed-factor growth processes'. Potential source contribution function analysis and the meteorological condition analysis showed that source origins and prevailing wind for the two cities during different categories of growth processes had substantial difference. The important source areas included Hebei and Shandong for BJ, and Jiangsu and Anhui for SH. The dominant wind directions during growth processes were northeast, south and southwest in BJ, and were west to north in SH. The results suggested the contributing components, the prevailing wind conditions, and the formation processes were substantially different in the two cities, despite the similar PMRR of PM2.5 total mass during the growth processes between BJ and SH. Future research is needed to study the detailed formation mechanisms of the different PM2.5 mass concentration growth processes in the two cities.
Copyright © 2019 Elsevier Ltd. All rights reserved.

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Keywords:  Beijing; Chemical composition; Growth processes; PM(2.5); Shanghai; Sources

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Year:  2019        PMID: 30654259     DOI: 10.1016/j.chemosphere.2018.12.200

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  2 in total

1.  Fast sulfate formation from oxidation of SO2 by NO2 and HONO observed in Beijing haze.

Authors:  Junfeng Wang; Jingyi Li; Jianhuai Ye; Jian Zhao; Yangzhou Wu; Jianlin Hu; Dantong Liu; Dongyang Nie; Fuzhen Shen; Xiangpeng Huang; Dan Dan Huang; Dongsheng Ji; Xu Sun; Weiqi Xu; Jianping Guo; Shaojie Song; Yiming Qin; Pengfei Liu; Jay R Turner; Hyun Chul Lee; Sungwoo Hwang; Hong Liao; Scot T Martin; Qi Zhang; Mindong Chen; Yele Sun; Xinlei Ge; Daniel J Jacob
Journal:  Nat Commun       Date:  2020-06-05       Impact factor: 14.919

2.  Effect of urban air pollution on CRP and coagulation: a study on inpatients with acute exacerbation of chronic obstructive pulmonary disease.

Authors:  Lingling Tang; Suofang Shi; Bohan Wang; Li Liu; Ying Yang; Xianhong Sun; Zhenhua Ni; Xiongbiao Wang
Journal:  BMC Pulm Med       Date:  2021-09-18       Impact factor: 3.317

  2 in total

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