Association between heating seasons and criteria air pollutants in three provincial capitals in northern China: Spatiotemporal variation and sources contribution. (15th March 2018)
- Record Type:
- Journal Article
- Title:
- Association between heating seasons and criteria air pollutants in three provincial capitals in northern China: Spatiotemporal variation and sources contribution. (15th March 2018)
- Main Title:
- Association between heating seasons and criteria air pollutants in three provincial capitals in northern China: Spatiotemporal variation and sources contribution
- Authors:
- Wang, Lei
Guan, Qingyu
Wang, Feifei
Yang, Liqin
Liu, Zeyu - Abstract:
- Abstract: Spatiotemporal variations of SO2, CO, NO2, O3, PM2.5, and PM10 concentrations and their associated sources in three provincial capitals of northern China from 2014 to 2015 were examined to reveal the association between heating seasons and criteria air pollutants. Air pollutant concentrations during the heating season were significantly higher than those during the non-heating season, with the exception of O3 . Moreover, the heating season with and without dust storm events was divided into aerosol season and windstorm season respectively. During aerosol season, fossil fuel-based industry and motor vehicle emissions respectively account for a major contribution to particulate matters and gaseous pollutants, and the Chinese Ambient Air Quality Standard (CAAQS) attaining rates of these pollutants exhibited the following order: PM2.5 < PM10 < NO2 < CO < SO2 < O3 . During windstorm season, concentrations of particulate matter became increasingly pronounced while those of gaseous pollutants decreased, and the major contribution of particulate matters and gaseous pollutants migrated to dust storms and fossil fuel-based industry discharges respectively. The CAAQS attaining rates of air pollutants in this season displayed the following order: PM10 < PM2.5 < NO2 < CO < O3 < SO2 . The attaining rates of gaseous pollutants during windstorm season improved due to the ambient clearing by wind, which followed the order: NO2 > CO > SO2 > O3 . The findings of this studyAbstract: Spatiotemporal variations of SO2, CO, NO2, O3, PM2.5, and PM10 concentrations and their associated sources in three provincial capitals of northern China from 2014 to 2015 were examined to reveal the association between heating seasons and criteria air pollutants. Air pollutant concentrations during the heating season were significantly higher than those during the non-heating season, with the exception of O3 . Moreover, the heating season with and without dust storm events was divided into aerosol season and windstorm season respectively. During aerosol season, fossil fuel-based industry and motor vehicle emissions respectively account for a major contribution to particulate matters and gaseous pollutants, and the Chinese Ambient Air Quality Standard (CAAQS) attaining rates of these pollutants exhibited the following order: PM2.5 < PM10 < NO2 < CO < SO2 < O3 . During windstorm season, concentrations of particulate matter became increasingly pronounced while those of gaseous pollutants decreased, and the major contribution of particulate matters and gaseous pollutants migrated to dust storms and fossil fuel-based industry discharges respectively. The CAAQS attaining rates of air pollutants in this season displayed the following order: PM10 < PM2.5 < NO2 < CO < O3 < SO2 . The attaining rates of gaseous pollutants during windstorm season improved due to the ambient clearing by wind, which followed the order: NO2 > CO > SO2 > O3 . The findings of this study are helpful in understanding the influence of anthropogenic and natural activities during heating season, which may improve the effectiveness of tackling air pollution in a broader way. Graphical abstract: Image 1 Highlights: Air pollutant concentrations during heating season were higher than those of the non-heating season. The air pollution levels in aerosol season were PM2.5 > PM10 > NO2 > CO > SO2 > O3 . The most improvement of pollution level for air pollutants from dust storm were NO2 . Industrial and vehicle emissions contribute to air pollutants in aerosol season. Dust and industrial emissions contribute to air pollutants in dust season. … (more)
- Is Part Of:
- Building and environment. Volume 132(2018)
- Journal:
- Building and environment
- Issue:
- Volume 132(2018)
- Issue Display:
- Volume 132, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 132
- Issue:
- 2018
- Issue Sort Value:
- 2018-0132-2018-0000
- Page Start:
- 233
- Page End:
- 244
- Publication Date:
- 2018-03-15
- Subjects:
- Air quality -- The northern China -- Spatiotemporal variations -- Heating season -- Source contribution
APCS absolute principal component scores -- APEC Asia-Pacific Economic Cooperation -- CDF cumulative distribution function -- CO carbon monoxide -- FA Factor analyses -- LST local standard time -- MLR Multiple linear regression -- CAAQS the Chinese National Ambient Air Quality Standard -- NC the northern China -- NO2 nitrogen dioxide -- NOx nitrogen oxides -- O3 ozone -- PM particulate matter -- PM2.5 particulate matter with an aerodynamic diameter smaller than 2.5 μm -- PM10 particulate matter with an aerodynamic diameter smaller than 10 μm -- PMF Positive Matrix Factorization -- SO2 sulfur dioxide -- WHO World Health Organization
Buildings -- Environmental engineering -- Periodicals
Building -- Research -- Periodicals
Constructions -- Technique de l'environnement -- Périodiques
Electronic journals
696 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03601323 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.buildenv.2018.01.034 ↗
- Languages:
- English
- ISSNs:
- 0360-1323
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2359.355000
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