Modeling of aerosol property evolution during winter haze episodes over a megacity cluster in northern China: roles of regional transport and heterogeneous reactions of SO<sub>2</sub>
<p>Regional transport and heterogeneous reactions have been shown to play crucial roles in haze formation over a megacity cluster centered on Beijing. In this study, the updated Nested Air Quality Prediction Model System (NAQPMS) and the Hybrid Single-Particle Lagrangian Integrated Trajectory...
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2019-07-01
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language |
English |
format |
Article |
sources |
DOAJ |
author |
H. Du H. Du J. Li J. Li J. Li X. Chen Z. Wang Z. Wang Z. Wang Y. Sun Y. Sun Y. Sun P. Fu J. Li J. Gao Y. Wei Y. Wei |
spellingShingle |
H. Du H. Du J. Li J. Li J. Li X. Chen Z. Wang Z. Wang Z. Wang Y. Sun Y. Sun Y. Sun P. Fu J. Li J. Gao Y. Wei Y. Wei Modeling of aerosol property evolution during winter haze episodes over a megacity cluster in northern China: roles of regional transport and heterogeneous reactions of SO<sub>2</sub> Atmospheric Chemistry and Physics |
author_facet |
H. Du H. Du J. Li J. Li J. Li X. Chen Z. Wang Z. Wang Z. Wang Y. Sun Y. Sun Y. Sun P. Fu J. Li J. Gao Y. Wei Y. Wei |
author_sort |
H. Du |
title |
Modeling of aerosol property evolution during winter haze episodes over a megacity cluster in northern China: roles of regional transport and heterogeneous reactions of SO<sub>2</sub> |
title_short |
Modeling of aerosol property evolution during winter haze episodes over a megacity cluster in northern China: roles of regional transport and heterogeneous reactions of SO<sub>2</sub> |
title_full |
Modeling of aerosol property evolution during winter haze episodes over a megacity cluster in northern China: roles of regional transport and heterogeneous reactions of SO<sub>2</sub> |
title_fullStr |
Modeling of aerosol property evolution during winter haze episodes over a megacity cluster in northern China: roles of regional transport and heterogeneous reactions of SO<sub>2</sub> |
title_full_unstemmed |
Modeling of aerosol property evolution during winter haze episodes over a megacity cluster in northern China: roles of regional transport and heterogeneous reactions of SO<sub>2</sub> |
title_sort |
modeling of aerosol property evolution during winter haze episodes over a megacity cluster in northern china: roles of regional transport and heterogeneous reactions of so<sub>2</sub> |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2019-07-01 |
description |
<p>Regional transport and heterogeneous reactions have been shown to play crucial roles in haze formation over a megacity cluster centered on Beijing. In this study, the
updated Nested Air Quality Prediction Model System (NAQPMS) and the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model were employed to investigate the evolution of
aerosols – in terms of the number concentration, size distribution, and degree of aging – in Beijing during six haze episodes between 15 November and
15 December 2016, as part of the Air Pollution and Human Health–Beijing
(APHH-Beijing) winter campaign of 2016. The model exhibited reasonable
performance not only with respect to mass concentrations of PM<span class="inline-formula"><sub>2.5</sub></span> and its components
in Beijing but also regarding the number concentration, size distribution, and degree of aging. We revealed that regional transport played a non-negligible role in
haze episodes, with contributions of 14 %–31 % to the surface
PM<span class="inline-formula"><sub>2.5</sub></span> mass concentration. The contribution of regional transport to
secondary inorganic aerosols was larger than that to primary aerosols
(30 %–63 % and 3 %–12 %, respectively). The chemical transformation of
<span class="inline-formula">SO<sub>2</sub></span> along the transport pathway from source regions to Beijing was the
major source of <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M5" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><msubsup><mi mathvariant="normal">SO</mi><mn mathvariant="normal">4</mn><mrow><mn mathvariant="normal">2</mn><mo>-</mo></mrow></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="29pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="28cd4f8c12cf9ef751545712573a522a"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-19-9351-2019-ie00001.svg" width="29pt" height="17pt" src="acp-19-9351-2019-ie00001.png"/></svg:svg></span></span>. We also found that sulfate formed outside
Beijing from <span class="inline-formula">SO<sub>2</sub></span> emitted in Beijing; this sulfate was then blown back
to Beijing and considerably influenced haze formation. Along the transport
pathway, aerosols underwent aging, which altered the mass ratio of the coating of black carbon to black carbon (<span class="inline-formula"><i>R</i><sub>BC</sub></span>) and the size distribution of number
concentrations. During the episodes, the geometric mean diameter (GMD)
increased from less than 100 nm at the initial site to approximately 120 nm
at the final site (Beijing), and the <span class="inline-formula"><i>R</i><sub>BC</sub></span> increased from 2–4 to 4–8.
During haze episodes with high humidity, the average contributions of gas and
aqueous chemistry, heterogeneous chemistry, and primary emission to sulfate
were comparable. However, their relative contributions varied with pollution
levels. Primary emissions had the greatest impact under light to moderate
pollution levels, whereas heterogeneous chemistry had a stronger effect under
high pollution levels.</p> |
url |
https://www.atmos-chem-phys.net/19/9351/2019/acp-19-9351-2019.pdf |
work_keys_str_mv |
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doaj-6ce48a499581498ab7f465dbdfb09a4d2020-11-25T02:49:14ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242019-07-01199351937010.5194/acp-19-9351-2019Modeling of aerosol property evolution during winter haze episodes over a megacity cluster in northern China: roles of regional transport and heterogeneous reactions of SO<sub>2</sub>H. Du0H. Du1J. Li2J. Li3J. Li4X. Chen5Z. Wang6Z. Wang7Z. Wang8Y. Sun9Y. Sun10Y. Sun11P. Fu12J. Li13J. Gao14Y. Wei15Y. Wei16State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCollege of Earth Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCollege of Earth Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaCenter for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, ChinaState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCollege of Earth Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaCenter for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, ChinaState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCollege of Earth Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaCenter for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, ChinaState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaChina National Environmental Monitoring Center, Beijing 100012, ChinaChinese Research Academy of Environmental Sciences, Beijing 100012, ChinaState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaCollege of Earth Sciences, University of Chinese Academy of Sciences, Beijing 100049, China<p>Regional transport and heterogeneous reactions have been shown to play crucial roles in haze formation over a megacity cluster centered on Beijing. In this study, the updated Nested Air Quality Prediction Model System (NAQPMS) and the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model were employed to investigate the evolution of aerosols – in terms of the number concentration, size distribution, and degree of aging – in Beijing during six haze episodes between 15 November and 15 December 2016, as part of the Air Pollution and Human Health–Beijing (APHH-Beijing) winter campaign of 2016. The model exhibited reasonable performance not only with respect to mass concentrations of PM<span class="inline-formula"><sub>2.5</sub></span> and its components in Beijing but also regarding the number concentration, size distribution, and degree of aging. We revealed that regional transport played a non-negligible role in haze episodes, with contributions of 14 %–31 % to the surface PM<span class="inline-formula"><sub>2.5</sub></span> mass concentration. The contribution of regional transport to secondary inorganic aerosols was larger than that to primary aerosols (30 %–63 % and 3 %–12 %, respectively). The chemical transformation of <span class="inline-formula">SO<sub>2</sub></span> along the transport pathway from source regions to Beijing was the major source of <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M5" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><msubsup><mi mathvariant="normal">SO</mi><mn mathvariant="normal">4</mn><mrow><mn mathvariant="normal">2</mn><mo>-</mo></mrow></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="29pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="28cd4f8c12cf9ef751545712573a522a"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-19-9351-2019-ie00001.svg" width="29pt" height="17pt" src="acp-19-9351-2019-ie00001.png"/></svg:svg></span></span>. We also found that sulfate formed outside Beijing from <span class="inline-formula">SO<sub>2</sub></span> emitted in Beijing; this sulfate was then blown back to Beijing and considerably influenced haze formation. Along the transport pathway, aerosols underwent aging, which altered the mass ratio of the coating of black carbon to black carbon (<span class="inline-formula"><i>R</i><sub>BC</sub></span>) and the size distribution of number concentrations. During the episodes, the geometric mean diameter (GMD) increased from less than 100 nm at the initial site to approximately 120 nm at the final site (Beijing), and the <span class="inline-formula"><i>R</i><sub>BC</sub></span> increased from 2–4 to 4–8. During haze episodes with high humidity, the average contributions of gas and aqueous chemistry, heterogeneous chemistry, and primary emission to sulfate were comparable. However, their relative contributions varied with pollution levels. Primary emissions had the greatest impact under light to moderate pollution levels, whereas heterogeneous chemistry had a stronger effect under high pollution levels.</p>https://www.atmos-chem-phys.net/19/9351/2019/acp-19-9351-2019.pdf |