Seasonal variations in high time-resolved chemical compositions, sources, and evolution of atmospheric submicron aerosols in the megacity Beijing
A severe regional haze problem in the megacity Beijing and surrounding areas, caused by fast formation and growth of fine particles, has attracted much attention in recent years. In order to investigate the secondary formation and aging process of urban aerosols, four intensive campaigns were con...
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Copernicus Publications
2017-08-01
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Series: | Atmospheric Chemistry and Physics |
Online Access: | https://www.atmos-chem-phys.net/17/9979/2017/acp-17-9979-2017.pdf |
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author | W. Hu W. Hu M. Hu M. Hu W.-W. Hu W.-W. Hu J. Zheng C. Chen Y. Wu S. Guo |
author_facet | W. Hu W. Hu M. Hu M. Hu W.-W. Hu W.-W. Hu J. Zheng C. Chen Y. Wu S. Guo |
author_sort | W. Hu |
collection | DOAJ |
description | A severe regional haze problem in the megacity Beijing and surrounding areas,
caused by fast formation and growth of fine particles, has attracted much
attention in recent years. In order to investigate the secondary formation
and aging process of urban aerosols, four intensive campaigns were conducted
in four seasons between March 2012 and March 2013 at an urban site in
Beijing (116.31° E, 37.99° N). An Aerodyne high-resolution time-of-flight aerosol mass spectrometry (HR-ToF-AMS) was
deployed to measure non-refractory chemical components of submicron
particulate matter (NR-PM<sub>1</sub>). The average mass concentrations of
PM<sub>1</sub> (NR-PM<sub>1</sub>+black carbon) were 45.1 ± 45.8, 37.5 ± 31.0, 41.3 ± 42.7, and 81.7 ± 72.4 µg m<sup>−3</sup> in spring,
summer, autumn, and winter, respectively. Organic aerosol (OA) was the most
abundant component in PM<sub>1</sub>, accounting for 31, 33, 44, and 36 %
seasonally, and secondary inorganic aerosol (SNA, sum of sulfate, nitrate,
and ammonium) accounted for 59, 57, 43, and 55 % of PM<sub>1</sub>
correspondingly. Based on the application of positive matrix factorization
(PMF), the sources of OA were obtained, including the primary ones of
hydrocarbon-like (HOA), cooking (COA), biomass burning OA (BBOA) and coal
combustion OA (CCOA), and secondary component oxygenated OA (OOA). OOA, which
can be split into more-oxidized (MO-OOA) and less-oxidized OOA (LO-OOA), accounted
for 49, 69, 47, and 50 % in four seasons, respectively. Totally, the
fraction of secondary components (OOA+SNA) contributed about 60–80 %
to PM<sub>1</sub>, suggesting that secondary formation played an important role in
the PM pollution in Beijing, and primary sources were also non-negligible.
The evolution process of OA in different seasons was investigated with
multiple metrics and tools. The average carbon oxidation states and other
metrics show that the oxidation state of OA was the highest in summer,
probably due to both strong photochemical and aqueous-phase oxidations. It
was indicated by the good correlations (<i>r</i> = 0.53–0.75, <i>p</i> < 0.01)
between LO-OOA and odd oxygen (O<sub><i>x</i></sub> = O<sub>3</sub> + NO<sub>2</sub>), and between
MO-OOA and liquid water content in aerosols. BBOA was resolved in spring and
autumn, influenced by agricultural biomass burning (e.g., field preparation
burnings, straw burning after the harvest). CCOA was only identified in
winter due to domestic heating. These results signified that the
comprehensive management for biomass burning and coal combustion emissions
is needed. High concentrations of chemical components in PM<sub>1</sub> in
Beijing, especially in winter or in adverse meteorological conditions,
suggest that further strengthening the regional emission control of primary
particulate and precursors of secondary species is expected. |
first_indexed | 2024-12-10T23:53:33Z |
format | Article |
id | doaj.art-ead975d878574c1b98c87723fe183de4 |
institution | Directory Open Access Journal |
issn | 1680-7316 1680-7324 |
language | English |
last_indexed | 2024-12-10T23:53:33Z |
publishDate | 2017-08-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Atmospheric Chemistry and Physics |
spelling | doaj.art-ead975d878574c1b98c87723fe183de42022-12-22T01:28:41ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242017-08-011799791000010.5194/acp-17-9979-2017Seasonal variations in high time-resolved chemical compositions, sources, and evolution of atmospheric submicron aerosols in the megacity BeijingW. Hu0W. Hu1M. Hu2M. Hu3W.-W. Hu4W.-W. Hu5J. Zheng6C. Chen7Y. Wu8S. Guo9State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, Chinanow at: Graduate School of Environmental and Symbiotic Sciences, Prefectural University of Kumamoto, Kumamoto 862-8502, JapanState Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, ChinaBeijing Innovation Center for Engineering Science and Advanced Technology, Peking University, Beijing 100871, ChinaState Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, Chinanow at: Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO 80309, USAState Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, ChinaState Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, ChinaState Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, ChinaState Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, ChinaA severe regional haze problem in the megacity Beijing and surrounding areas, caused by fast formation and growth of fine particles, has attracted much attention in recent years. In order to investigate the secondary formation and aging process of urban aerosols, four intensive campaigns were conducted in four seasons between March 2012 and March 2013 at an urban site in Beijing (116.31° E, 37.99° N). An Aerodyne high-resolution time-of-flight aerosol mass spectrometry (HR-ToF-AMS) was deployed to measure non-refractory chemical components of submicron particulate matter (NR-PM<sub>1</sub>). The average mass concentrations of PM<sub>1</sub> (NR-PM<sub>1</sub>+black carbon) were 45.1 ± 45.8, 37.5 ± 31.0, 41.3 ± 42.7, and 81.7 ± 72.4 µg m<sup>−3</sup> in spring, summer, autumn, and winter, respectively. Organic aerosol (OA) was the most abundant component in PM<sub>1</sub>, accounting for 31, 33, 44, and 36 % seasonally, and secondary inorganic aerosol (SNA, sum of sulfate, nitrate, and ammonium) accounted for 59, 57, 43, and 55 % of PM<sub>1</sub> correspondingly. Based on the application of positive matrix factorization (PMF), the sources of OA were obtained, including the primary ones of hydrocarbon-like (HOA), cooking (COA), biomass burning OA (BBOA) and coal combustion OA (CCOA), and secondary component oxygenated OA (OOA). OOA, which can be split into more-oxidized (MO-OOA) and less-oxidized OOA (LO-OOA), accounted for 49, 69, 47, and 50 % in four seasons, respectively. Totally, the fraction of secondary components (OOA+SNA) contributed about 60–80 % to PM<sub>1</sub>, suggesting that secondary formation played an important role in the PM pollution in Beijing, and primary sources were also non-negligible. The evolution process of OA in different seasons was investigated with multiple metrics and tools. The average carbon oxidation states and other metrics show that the oxidation state of OA was the highest in summer, probably due to both strong photochemical and aqueous-phase oxidations. It was indicated by the good correlations (<i>r</i> = 0.53–0.75, <i>p</i> < 0.01) between LO-OOA and odd oxygen (O<sub><i>x</i></sub> = O<sub>3</sub> + NO<sub>2</sub>), and between MO-OOA and liquid water content in aerosols. BBOA was resolved in spring and autumn, influenced by agricultural biomass burning (e.g., field preparation burnings, straw burning after the harvest). CCOA was only identified in winter due to domestic heating. These results signified that the comprehensive management for biomass burning and coal combustion emissions is needed. High concentrations of chemical components in PM<sub>1</sub> in Beijing, especially in winter or in adverse meteorological conditions, suggest that further strengthening the regional emission control of primary particulate and precursors of secondary species is expected.https://www.atmos-chem-phys.net/17/9979/2017/acp-17-9979-2017.pdf |
spellingShingle | W. Hu W. Hu M. Hu M. Hu W.-W. Hu W.-W. Hu J. Zheng C. Chen Y. Wu S. Guo Seasonal variations in high time-resolved chemical compositions, sources, and evolution of atmospheric submicron aerosols in the megacity Beijing Atmospheric Chemistry and Physics |
title | Seasonal variations in high time-resolved chemical compositions, sources, and evolution of atmospheric submicron aerosols in the megacity Beijing |
title_full | Seasonal variations in high time-resolved chemical compositions, sources, and evolution of atmospheric submicron aerosols in the megacity Beijing |
title_fullStr | Seasonal variations in high time-resolved chemical compositions, sources, and evolution of atmospheric submicron aerosols in the megacity Beijing |
title_full_unstemmed | Seasonal variations in high time-resolved chemical compositions, sources, and evolution of atmospheric submicron aerosols in the megacity Beijing |
title_short | Seasonal variations in high time-resolved chemical compositions, sources, and evolution of atmospheric submicron aerosols in the megacity Beijing |
title_sort | seasonal variations in high time resolved chemical compositions sources and evolution of atmospheric submicron aerosols in the megacity beijing |
url | https://www.atmos-chem-phys.net/17/9979/2017/acp-17-9979-2017.pdf |
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