Spatial and temporal variations of the concentrations of PM<sub>10</sub>, PM<sub>2.5</sub> and PM<sub>1</sub> in China
Concentrations of PM<sub>10</sub>, PM<sub>2.5</sub> and PM<sub>1</sub> were monitored at 24 CAWNET (China Atmosphere Watch Network) stations from 2006 to 2014. The highest particulate matter (PM) concentrations were observed at the stations of Xian, Zhengzhou and...
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Copernicus Publications
2015-12-01
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Series: | Atmospheric Chemistry and Physics |
Online Access: | http://www.atmos-chem-phys.net/15/13585/2015/acp-15-13585-2015.pdf |
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author | Y. Q. Wang X. Y. Zhang J. Y. Sun X. C. Zhang H. Z. Che Y. Li |
author_facet | Y. Q. Wang X. Y. Zhang J. Y. Sun X. C. Zhang H. Z. Che Y. Li |
author_sort | Y. Q. Wang |
collection | DOAJ |
description | Concentrations of PM<sub>10</sub>, PM<sub>2.5</sub> and PM<sub>1</sub> were monitored at 24
CAWNET (China Atmosphere Watch Network) stations from 2006 to 2014. The
highest particulate matter (PM) concentrations were observed at the stations
of Xian, Zhengzhou and Gucheng, on the Guanzhong Plain and the Huabei Plain
(HBP). The second highest PM concentrations were observed in northeast
China, followed by southern China. According to the latest air quality
standards of China, 14 stations reached the PM<sub>10</sub> standard, and only 7
stations, mainly rural and remote stations, reached the PM<sub>2.5</sub> standard.
The ratios of PM<sub>2.5</sub> to PM<sub>10</sub> showed a clear increasing trend from
northern to southern China, because of the substantial contribution of
coarse mineral aerosol in northern China. The ratios of PM<sub>1</sub> to
PM<sub>2.5</sub> were higher than 80 % at most stations. PM concentrations
tended to be highest in winter and lowest in summer at most stations, and
mineral dust influenced the results in spring. A decreasing interannual
trend was observed on the HBP and in southern China for the period 2006 to
2014, but an increasing trend occurred at some stations in northeast China.
Bimodal and unimodal diurnal variation patterns were identified at urban
stations. Both emissions and meteorological variations dominate the
long-term PM concentration trend, while meteorological factors play a
leading role in the short term. |
first_indexed | 2024-12-11T21:32:36Z |
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id | doaj.art-d16d84e6976346f98b04ea219cd98074 |
institution | Directory Open Access Journal |
issn | 1680-7316 1680-7324 |
language | English |
last_indexed | 2024-12-11T21:32:36Z |
publishDate | 2015-12-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Atmospheric Chemistry and Physics |
spelling | doaj.art-d16d84e6976346f98b04ea219cd980742022-12-22T00:50:07ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242015-12-011523135851359810.5194/acp-15-13585-2015Spatial and temporal variations of the concentrations of PM<sub>10</sub>, PM<sub>2.5</sub> and PM<sub>1</sub> in ChinaY. Q. Wang0X. Y. Zhang1J. Y. Sun2X. C. Zhang3H. Z. Che4Y. Li5State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, ChinaMeteorological Observation Center, Beijing, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, ChinaConcentrations of PM<sub>10</sub>, PM<sub>2.5</sub> and PM<sub>1</sub> were monitored at 24 CAWNET (China Atmosphere Watch Network) stations from 2006 to 2014. The highest particulate matter (PM) concentrations were observed at the stations of Xian, Zhengzhou and Gucheng, on the Guanzhong Plain and the Huabei Plain (HBP). The second highest PM concentrations were observed in northeast China, followed by southern China. According to the latest air quality standards of China, 14 stations reached the PM<sub>10</sub> standard, and only 7 stations, mainly rural and remote stations, reached the PM<sub>2.5</sub> standard. The ratios of PM<sub>2.5</sub> to PM<sub>10</sub> showed a clear increasing trend from northern to southern China, because of the substantial contribution of coarse mineral aerosol in northern China. The ratios of PM<sub>1</sub> to PM<sub>2.5</sub> were higher than 80 % at most stations. PM concentrations tended to be highest in winter and lowest in summer at most stations, and mineral dust influenced the results in spring. A decreasing interannual trend was observed on the HBP and in southern China for the period 2006 to 2014, but an increasing trend occurred at some stations in northeast China. Bimodal and unimodal diurnal variation patterns were identified at urban stations. Both emissions and meteorological variations dominate the long-term PM concentration trend, while meteorological factors play a leading role in the short term.http://www.atmos-chem-phys.net/15/13585/2015/acp-15-13585-2015.pdf |
spellingShingle | Y. Q. Wang X. Y. Zhang J. Y. Sun X. C. Zhang H. Z. Che Y. Li Spatial and temporal variations of the concentrations of PM<sub>10</sub>, PM<sub>2.5</sub> and PM<sub>1</sub> in China Atmospheric Chemistry and Physics |
title | Spatial and temporal variations of the concentrations of PM<sub>10</sub>, PM<sub>2.5</sub> and PM<sub>1</sub> in China |
title_full | Spatial and temporal variations of the concentrations of PM<sub>10</sub>, PM<sub>2.5</sub> and PM<sub>1</sub> in China |
title_fullStr | Spatial and temporal variations of the concentrations of PM<sub>10</sub>, PM<sub>2.5</sub> and PM<sub>1</sub> in China |
title_full_unstemmed | Spatial and temporal variations of the concentrations of PM<sub>10</sub>, PM<sub>2.5</sub> and PM<sub>1</sub> in China |
title_short | Spatial and temporal variations of the concentrations of PM<sub>10</sub>, PM<sub>2.5</sub> and PM<sub>1</sub> in China |
title_sort | spatial and temporal variations of the concentrations of pm sub 10 sub pm sub 2 5 sub and pm sub 1 sub in china |
url | http://www.atmos-chem-phys.net/15/13585/2015/acp-15-13585-2015.pdf |
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