Literature DB >> 32402710

PM2.5 and O3 pollution during 2015-2019 over 367 Chinese cities: Spatiotemporal variations, meteorological and topographical impacts.

Suping Zhao1, Daiying Yin2, Ye Yu3, Shichang Kang4, Dahe Qin5, Longxiang Dong3.   

Abstract

The strict Clean Air Action Plan has been in place by central and local government in China since 2013 to alleviate haze pollution. In response to implementation of the Plan, daytime PM2.5 (particulate matter with aerodynamic diameter less than 2.5 μm) showed significant downward trends from 2015 to 2019, with the largest reduction during spring and winter in the North China Plain. Unlike PM2.5, O3 (ozone) showed a general increasing trend, reaching 29.7 μg m-3 on summer afternoons. Increased O3 and reduced PM2.5 simultaneously occurred in more than half of Chinese cities, increasing to approximately three-fourths in summer. Declining trends in both PM2.5 and O3 occurred in only a few cities, varying from 19.1% of cities in summer to 33.7% in fall. Meteorological variables helped to decrease PM2.5 and O3 in some cities and increase PM2.5 and O3 in others, which is closely related to terrain. High wind speed and 24 h changing pressure favored PM2.5 dispersion and dilution, especially in winter in southern China. However, O3 was mainly affected by 24 h maximum temperature over most cities. Soil temperature was found to be a key factor modulating air pollution. Its impact on PM2.5 concentrations depended largely on soil depth and seasons; spring and fall soil temperature at 80 cm below the surface had largely negative impacts. Compared with PM2.5, O3 was more significantly affected by soil temperature, with the largest impact at 20 cm below the surface and with less seasonal variation.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Air quality; Complex terrain; Fine particles; Soil temperature

Year:  2020        PMID: 32402710     DOI: 10.1016/j.envpol.2020.114694

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  10 in total

1.  Air Pollution Characteristics and Health Risks in the Yangtze River Economic Belt, China during Winter.

Authors:  Mao Mao; Haofei Sun; Xiaolin Zhang
Journal:  Int J Environ Res Public Health       Date:  2020-12-08       Impact factor: 3.390

2.  A novel causality-centrality-based method for the analysis of the impacts of air pollutants on PM2.5 concentrations in China.

Authors:  Bocheng Wang
Journal:  Sci Rep       Date:  2021-03-26       Impact factor: 4.379

3.  Decomposing PM2.5 air pollution rebounds in Northern China before COVID-19.

Authors:  Changgui Dong; Jiaying Li; Ye Qi
Journal:  Environ Sci Pollut Res Int       Date:  2022-01-06       Impact factor: 5.190

4.  Contrasting Trends of Surface PM2.5, O3, and NO2 and Their Relationships with Meteorological Parameters in Typical Coastal and Inland Cities in the Yangtze River Delta.

Authors:  Min Lv; Zhanqing Li; Qingfeng Jiang; Tianmeng Chen; Yuying Wang; Anyong Hu; Maureen Cribb; Aling Cai
Journal:  Int J Environ Res Public Health       Date:  2021-11-26       Impact factor: 3.390

5.  Tracking short-term health impacts attributed to ambient PM2.5 and ozone pollution in Chinese cities: an assessment integrates daily population.

Authors:  Yang Guan; Yang Xiao; Nannan Zhang; Chengjun Chu
Journal:  Environ Sci Pollut Res Int       Date:  2022-07-26       Impact factor: 5.190

6.  Impact of COVID-19 lockdown on carbonaceous aerosols in a polluted city: Composition characterization, source apportionment, influence factors of secondary formation.

Authors:  Zhe Dong; Shenbo Wang; Jiabin Sun; Luqi Shang; Zihan Li; Ruiqin Zhang
Journal:  Chemosphere       Date:  2022-08-13       Impact factor: 8.943

7.  Spatiotemporal Variation in Ground Level Ozone and Its Driving Factors: A Comparative Study of Coastal and Inland Cities in Eastern China.

Authors:  Mengge Zhou; Yonghua Li; Fengying Zhang
Journal:  Int J Environ Res Public Health       Date:  2022-08-05       Impact factor: 4.614

8.  Risk tradeoffs between nitrogen dioxide and ozone pollution during the COVID-19 lockdowns in the Greater Bay area of China.

Authors:  Changqing Lin; Yushan Song; Peter K K Louie; Zibing Yuan; Ying Li; Minghui Tao; Chengcai Li; Jimmy C H Fung; Zhi Ning; Alexis K H Lau; Xiang Qian Lao
Journal:  Atmos Pollut Res       Date:  2022-09-06       Impact factor: 4.831

9.  Ozone pollution mitigation in guangxi (south China) driven by meteorology and anthropogenic emissions during the COVID-19 lockdown.

Authors:  Shuang Fu; Meixiu Guo; Linping Fan; Qiyin Deng; Deming Han; Ye Wei; Jinmin Luo; Guimei Qin; Jinping Cheng
Journal:  Environ Pollut       Date:  2020-10-27       Impact factor: 8.071

10.  Spatiotemporal variations of air pollutants based on ground observation and emission sources over 19 Chinese urban agglomerations during 2015-2019.

Authors:  Tianhui Tao; Yishao Shi; Katabarwa Murenzi Gilbert; Xinyi Liu
Journal:  Sci Rep       Date:  2022-03-11       Impact factor: 4.379

  10 in total

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