Association between heating seasons and criteria air pollutants in three provincial capitals in northern China: Spatiotemporal variation and sources contribution

Association between heating seasons and criteria air pollutants in three provincial capitals in... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Building and Environment Elsevier

Association between heating seasons and criteria air pollutants in three provincial capitals in northern China: Spatiotemporal variation and sources contribution

Loading next page...
 
/lp/elsevier/association-between-heating-seasons-and-criteria-air-pollutants-in-bHqPSSYQJX
Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Ltd
ISSN
0360-1323
D.O.I.
10.1016/j.buildenv.2018.01.034
Publisher site
See Article on Publisher Site

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 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.

Journal

Building and EnvironmentElsevier

Published: Mar 15, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off