Literature DB >> 28126285

Particulate matter pollution over China and the effects of control policies.

Jiandong Wang1, Bin Zhao2, Shuxiao Wang3, Fumo Yang4, Jia Xing1, Lidia Morawska5, Aijun Ding6, Markku Kulmala7, Veli-Matti Kerminen8, Joni Kujansuu8, Zifa Wang9, Dian Ding1, Xiaoye Zhang10, Huanbo Wang11, Mi Tian11, Tuukka Petäjä8, Jingkun Jiang1, Jiming Hao1.   

Abstract

China is one of the regions with highest PM2.5 concentration in the world. In this study, we review the spatio-temporal distribution of PM2.5 mass concentration and components in China and the effect of control measures on PM2.5 concentrations. Annual averaged PM2.5 concentrations in Central-Eastern China reached over 100μgm-3, in some regions even over 150μgm-3. In 2013, only 4.1% of the cities attained the annual average standard of 35μgm-3. Aitken mode particles tend to dominate the total particle number concentration. Depending on the location and time of the year, new particle formation (NPF) has been observed to take place between about 10 and 60% of the days. In most locations, NPF was less frequent at high PM mass loadings. The secondary inorganic particles (i.e., sulfate, nitrate and ammonium) ranked the highest fraction among the PM2.5 species, followed by organic matters (OM), crustal species and element carbon (EC), which accounted for 6-50%, 15-51%, 5-41% and 2-12% of PM2.5, respectively. In response to serious particulate matter pollution, China has taken aggressive steps to improve air quality in the last decade. As a result, the national emissions of primary PM2.5, sulfur dioxide (SO2), and nitrogen oxides (NOX) have been decreasing since 2005, 2006, and 2011, respectively. The emission control policies implemented in the last decade could result in noticeable reduction in PM2.5 concentrations, contributing to the decreasing PM2.5 trends observed in Beijing, Shanghai, and Guangzhou. However, the control policies issued before 2010 are insufficient to improve PM2.5 air quality notably in future. An optimal mix of energy-saving and end-of-pipe control measures should be implemented, more ambitious control policies for NMVOC and NH3 should be enforced, and special control measures in winter should be applied. 40-70% emissions should be cut off to attain PM2.5 standard.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chemical speciation; China; Control policies; Metropolitan regions; PM(2.5)

Year:  2017        PMID: 28126285     DOI: 10.1016/j.scitotenv.2017.01.027

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


  31 in total

1.  Bio3Air, an integrative system for monitoring individual-level air pollutant exposure with high time and spatial resolution.

Authors:  Haoxiang Cheng; Liping Wang; Dongbin Wang; Jushan Zhang; Long Cheng; Pengfei Yao; Zhongyang Zhang; Antonio Di Narzo; Yuan Shen; Jing Yu; Changhui Wang; Lihong Fan; Jianwei Lu; Jingkun Jiang; Ke Hao
Journal:  Ecotoxicol Environ Saf       Date:  2018-11-28       Impact factor: 6.291

2.  Intra-annual variations of regional aerosol optical depth, vertical distribution, and particle types from multiple satellite and ground-based observational datasets.

Authors:  Bin Zhao; Jonathan H Jiang; David J Diner; Hui Su; Yu Gu; Kuo-Nan Liou; Zhe Jiang; Lei Huang; Yoshi Takano; Xuehua Fan; Ali H Omar
Journal:  Atmos Chem Phys       Date:  2018-08-13       Impact factor: 6.133

3.  Least-cost control strategy optimization for air quality attainment of Beijing-Tianjin-Hebei region in China.

Authors:  Jia Xing; Fenfen Zhang; Yang Zhou; Shuxiao Wang; Dian Ding; Carey Jang; Yun Zhu; Jiming Hao
Journal:  J Environ Manage       Date:  2019-05-28       Impact factor: 6.789

4.  Nonlinear relationships between air pollutant emissions and PM2.5-related health impacts in the Beijing-Tianjin-Hebei region.

Authors:  Bin Zhao; Shuxiao Wang; Dian Ding; Wenjing Wu; Xing Chang; Jiandong Wang; Jia Xing; Carey Jang; Joshua S Fu; Yun Zhu; Mei Zheng; Yu Gu
Journal:  Sci Total Environ       Date:  2019-01-16       Impact factor: 7.963

5.  Effects of air pollution control measures on air quality improvement in Guangzhou, China.

Authors:  Meifang Yu; Yun Zhu; Che-Jen Lin; Shuxiao Wang; Jia Xing; Carey Jang; Jizhang Huang; Jinying Huang; Jiangbo Jin; Lian Yu
Journal:  J Environ Manage       Date:  2019-05-20       Impact factor: 6.789

6.  The relationships between surface-column aerosol concentrations and meteorological factors observed at major cities in the Yangtze River Delta, China.

Authors:  Han Ding; Kanike Raghavendra Kumar; Richard Boiyo; Tianliang Zhao
Journal:  Environ Sci Pollut Res Int       Date:  2019-11-15       Impact factor: 4.223

7.  Type-Dependent Responses of Ice Cloud Properties to Aerosols From Satellite Retrievals.

Authors:  Bin Zhao; Yu Gu; Kuo-Nan Liou; Yuan Wang; Xiaohong Liu; Lei Huang; Jonathan H Jiang; Hui Su
Journal:  Geophys Res Lett       Date:  2018-04-16       Impact factor: 4.720

8.  Estimation of abatement potentials and costs of air pollution emissions in China.

Authors:  Fenfen Zhang; Jia Xing; Yang Zhou; Shuxiao Wang; Bin Zhao; Haotian Zheng; Xiao Zhao; Huanzhen Chang; Carey Jang; Yun Zhu; Jiming Hao
Journal:  J Environ Manage       Date:  2020-01-18       Impact factor: 6.789

9.  Prenatal exposure to ambient air multi-pollutants significantly impairs intrauterine fetal development trajectory.

Authors:  Xiaowen Shao; Haoxiang Cheng; Jonathan Zhou; Jushan Zhang; Yujie Zhu; Chun Yang; Antonio Di Narzo; Jing Yu; Yuan Shen; Yuanyuan Li; Shunqing Xu; Zhongyang Zhang; Jia Chen; Jiajing Cheng; Ke Hao
Journal:  Ecotoxicol Environ Saf       Date:  2020-05-29       Impact factor: 6.291

10.  Airway microbiome is associated with respiratory functions and responses to ambient particulate matter exposure.

Authors:  Liping Wang; Haoxiang Cheng; Dongbin Wang; Bo Zhao; Jushan Zhang; Long Cheng; Pengfei Yao; Antonio Di Narzo; Yuan Shen; Jing Yu; Yuanyuan Li; Shunqing Xu; Jia Chen; Lihong Fan; Jianwei Lu; Jingkun Jiang; Yang Zhou; Changhui Wang; Zhongyang Zhang; Ke Hao
Journal:  Ecotoxicol Environ Saf       Date:  2018-10-18       Impact factor: 6.291

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