Publication

The characteristics and drivers of fine particulate matter (PM2.5) distribution in China

Wang, S., Zhou, C., Wang, Z., Feng, K. & Hubacek, K., 20-Jan-2017, In : Journal of Cleaner Production. 142, Part 4, p. 1800-1809 10 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Wang, S., Zhou, C., Wang, Z., Feng, K., & Hubacek, K. (2017). The characteristics and drivers of fine particulate matter (PM2.5) distribution in China. Journal of Cleaner Production, 142(Part 4), 1800-1809. https://doi.org/10.1016/j.jclepro.2016.11.104

Author

Wang, Shaojian ; Zhou, Chunshan ; Wang, Zhenbo ; Feng, Kuishuang ; Hubacek, Klaus. / The characteristics and drivers of fine particulate matter (PM2.5) distribution in China. In: Journal of Cleaner Production. 2017 ; Vol. 142, No. Part 4. pp. 1800-1809.

Harvard

Wang, S, Zhou, C, Wang, Z, Feng, K & Hubacek, K 2017, 'The characteristics and drivers of fine particulate matter (PM2.5) distribution in China', Journal of Cleaner Production, vol. 142, no. Part 4, pp. 1800-1809. https://doi.org/10.1016/j.jclepro.2016.11.104

Standard

The characteristics and drivers of fine particulate matter (PM2.5) distribution in China. / Wang, Shaojian; Zhou, Chunshan; Wang, Zhenbo; Feng, Kuishuang; Hubacek, Klaus.

In: Journal of Cleaner Production, Vol. 142, No. Part 4, 20.01.2017, p. 1800-1809.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Wang S, Zhou C, Wang Z, Feng K, Hubacek K. The characteristics and drivers of fine particulate matter (PM2.5) distribution in China. Journal of Cleaner Production. 2017 Jan 20;142(Part 4):1800-1809. https://doi.org/10.1016/j.jclepro.2016.11.104


BibTeX

@article{ef94849ad53f48c0817f53d4dd8ca344,
title = "The characteristics and drivers of fine particulate matter (PM2.5) distribution in China",
abstract = "The frequent occurrence of extreme haze episodes in China in recent years has triggered the Chinese government to take action to tackle the serious air quality problems. Fine particulate matter (PM2.5) accounts for much of China's poor air quality; given the health risks associated with such pollution, the spatiotemporal characteristics of urban PM2.5 concentrations constitute a matter of significant interest within the Chinese research and policy communities. Using the first long-term datasets available in relation to PM2.5 levels, obtained from a year-long monitoring program of concentrations utilizing 945 monitoring stations in 190 cities in China in 2014, we found significant differences in PM2.5 concentrations among cities, ranging between 18.7 and 131.4 μg/m3, with an average of at 61 ± 20 μg/m3; only 18 (or 9.5{\%}) of the 190 monitored cities could meet the National Ambient Air Quality Standards of China. PM2.5 concentrations are generally highest in the cities east of the Hu Line and north of the Yangtze River due to high PM emissions from transport and coal combustion and unfavorable atmospheric conditions. We also observed marked seasonal variations in concentration levels, with the highest levels occurring during winter and the lowest in summer. By grouping Chinese cities according to their size, our econometric analysis shows a positive correlation between PM2.5 concentrations and the size of the urban area, urban population, share of secondary industry and population density, and a first increasing and then decreasing relationship between GDP per capita and PM2.5 concentration. Urban expansion and structural economic change has thus contributed to an increase in urban PM2.5 emissions. Without careful planning, continuing urbanization will precipitate further severe air pollution causing significant health risks.",
keywords = "Air pollution, China, Econometric analysis, Mitigation, Spatiotemporal characteristics",
author = "Shaojian Wang and Chunshan Zhou and Zhenbo Wang and Kuishuang Feng and Klaus Hubacek",
year = "2017",
month = "1",
day = "20",
doi = "10.1016/j.jclepro.2016.11.104",
language = "English",
volume = "142",
pages = "1800--1809",
journal = "Journal of Cleaner Production",
issn = "0959-6526",
publisher = "ELSEVIER SCI LTD",
number = "Part 4",

}

RIS

TY - JOUR

T1 - The characteristics and drivers of fine particulate matter (PM2.5) distribution in China

AU - Wang, Shaojian

AU - Zhou, Chunshan

AU - Wang, Zhenbo

AU - Feng, Kuishuang

AU - Hubacek, Klaus

PY - 2017/1/20

Y1 - 2017/1/20

N2 - The frequent occurrence of extreme haze episodes in China in recent years has triggered the Chinese government to take action to tackle the serious air quality problems. Fine particulate matter (PM2.5) accounts for much of China's poor air quality; given the health risks associated with such pollution, the spatiotemporal characteristics of urban PM2.5 concentrations constitute a matter of significant interest within the Chinese research and policy communities. Using the first long-term datasets available in relation to PM2.5 levels, obtained from a year-long monitoring program of concentrations utilizing 945 monitoring stations in 190 cities in China in 2014, we found significant differences in PM2.5 concentrations among cities, ranging between 18.7 and 131.4 μg/m3, with an average of at 61 ± 20 μg/m3; only 18 (or 9.5%) of the 190 monitored cities could meet the National Ambient Air Quality Standards of China. PM2.5 concentrations are generally highest in the cities east of the Hu Line and north of the Yangtze River due to high PM emissions from transport and coal combustion and unfavorable atmospheric conditions. We also observed marked seasonal variations in concentration levels, with the highest levels occurring during winter and the lowest in summer. By grouping Chinese cities according to their size, our econometric analysis shows a positive correlation between PM2.5 concentrations and the size of the urban area, urban population, share of secondary industry and population density, and a first increasing and then decreasing relationship between GDP per capita and PM2.5 concentration. Urban expansion and structural economic change has thus contributed to an increase in urban PM2.5 emissions. Without careful planning, continuing urbanization will precipitate further severe air pollution causing significant health risks.

AB - The frequent occurrence of extreme haze episodes in China in recent years has triggered the Chinese government to take action to tackle the serious air quality problems. Fine particulate matter (PM2.5) accounts for much of China's poor air quality; given the health risks associated with such pollution, the spatiotemporal characteristics of urban PM2.5 concentrations constitute a matter of significant interest within the Chinese research and policy communities. Using the first long-term datasets available in relation to PM2.5 levels, obtained from a year-long monitoring program of concentrations utilizing 945 monitoring stations in 190 cities in China in 2014, we found significant differences in PM2.5 concentrations among cities, ranging between 18.7 and 131.4 μg/m3, with an average of at 61 ± 20 μg/m3; only 18 (or 9.5%) of the 190 monitored cities could meet the National Ambient Air Quality Standards of China. PM2.5 concentrations are generally highest in the cities east of the Hu Line and north of the Yangtze River due to high PM emissions from transport and coal combustion and unfavorable atmospheric conditions. We also observed marked seasonal variations in concentration levels, with the highest levels occurring during winter and the lowest in summer. By grouping Chinese cities according to their size, our econometric analysis shows a positive correlation between PM2.5 concentrations and the size of the urban area, urban population, share of secondary industry and population density, and a first increasing and then decreasing relationship between GDP per capita and PM2.5 concentration. Urban expansion and structural economic change has thus contributed to an increase in urban PM2.5 emissions. Without careful planning, continuing urbanization will precipitate further severe air pollution causing significant health risks.

KW - Air pollution

KW - China

KW - Econometric analysis

KW - Mitigation

KW - Spatiotemporal characteristics

UR - http://www.scopus.com/inward/record.url?scp=85006745444&partnerID=8YFLogxK

U2 - 10.1016/j.jclepro.2016.11.104

DO - 10.1016/j.jclepro.2016.11.104

M3 - Article

AN - SCOPUS:85006745444

VL - 142

SP - 1800

EP - 1809

JO - Journal of Cleaner Production

JF - Journal of Cleaner Production

SN - 0959-6526

IS - Part 4

ER -

ID: 79573367