Daytime atmospheric oxidation capacity in four Chinese megacities during the photochemically polluted season: a case study based on box model simulation
<p>Atmospheric oxidation capacity is the basis for converting freshly emitted substances into secondary products and is dominated by reactions involving hydroxyl radicals (OH) during daytime. In this study, we present in situ measurements of <span class="inline-formula">RO<s...
Main Authors: | , , , , , , , , , , , , , , |
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Language: | English |
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Copernicus Publications
2019-03-01
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Series: | Atmospheric Chemistry and Physics |
Online Access: | https://www.atmos-chem-phys.net/19/3493/2019/acp-19-3493-2019.pdf |
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Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Z. Tan Z. Tan K. Lu M. Jiang R. Su H. Wang S. Lou Q. Fu C. Zhai Q. Tan D. Yue D. Chen Z. Wang S. Xie L. Zeng Y. Zhang Y. Zhang Y. Zhang |
spellingShingle |
Z. Tan Z. Tan K. Lu M. Jiang R. Su H. Wang S. Lou Q. Fu C. Zhai Q. Tan D. Yue D. Chen Z. Wang S. Xie L. Zeng Y. Zhang Y. Zhang Y. Zhang Daytime atmospheric oxidation capacity in four Chinese megacities during the photochemically polluted season: a case study based on box model simulation Atmospheric Chemistry and Physics |
author_facet |
Z. Tan Z. Tan K. Lu M. Jiang R. Su H. Wang S. Lou Q. Fu C. Zhai Q. Tan D. Yue D. Chen Z. Wang S. Xie L. Zeng Y. Zhang Y. Zhang Y. Zhang |
author_sort |
Z. Tan |
title |
Daytime atmospheric oxidation capacity in four Chinese megacities during the photochemically polluted season: a case study based on box model simulation |
title_short |
Daytime atmospheric oxidation capacity in four Chinese megacities during the photochemically polluted season: a case study based on box model simulation |
title_full |
Daytime atmospheric oxidation capacity in four Chinese megacities during the photochemically polluted season: a case study based on box model simulation |
title_fullStr |
Daytime atmospheric oxidation capacity in four Chinese megacities during the photochemically polluted season: a case study based on box model simulation |
title_full_unstemmed |
Daytime atmospheric oxidation capacity in four Chinese megacities during the photochemically polluted season: a case study based on box model simulation |
title_sort |
daytime atmospheric oxidation capacity in four chinese megacities during the photochemically polluted season: a case study based on box model simulation |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2019-03-01 |
description |
<p>Atmospheric oxidation capacity is the basis for
converting freshly emitted substances into secondary products and is
dominated by reactions involving hydroxyl radicals (OH) during daytime. In
this study, we present in situ measurements of <span class="inline-formula">RO<sub><i>x</i></sub></span> radical (hydroxy OH,
hydroperoxy <span class="inline-formula">HO<sub>2</sub></span>, and organic peroxy <span class="inline-formula">RO<sub>2</sub></span>) precursors and products;
the measurements are carried out in four Chinese megacities (Beijing,
Shanghai, Guangzhou, and Chongqing) during photochemically polluted seasons.
The atmospheric oxidation capacity is evaluated using an observation-based
model and radical chemistry precursor measurements as input. The radical
budget analysis illustrates the importance of HONO and HCHO photolysis,
which account for <span class="inline-formula">∼50</span> % of the total primary radical
sources. The radical propagation is efficient due to abundant NO in urban
environments. Hence, the production rate of secondary pollutants, that is,
ozone (and fine-particle precursors (<span class="inline-formula">H<sub>2</sub>SO<sub>4</sub></span>, <span class="inline-formula">HNO<sub>3</sub></span>, and
extremely low volatility organic compounds, ELVOCs) is rapid, resulting in
secondary air pollution. The ozone budget demonstrates its high production
in urban areas; also, its rapid transport to downwind areas results in rapid
increase in local ozone concentrations. The <span class="inline-formula">O<sub>3</sub></span>–<span class="inline-formula">NO<sub><i>x</i></sub></span>–VOC (volatile
organic compound) sensitivity tests show that ozone production is
VOC-limited and that alkenes and aromatics should be mitigated first for
ozone pollution control in the four studied megacities. In contrast,
<span class="inline-formula">NO<sub><i>x</i></sub></span> emission control (that is, a decrease in <span class="inline-formula">NO<sub><i>x</i></sub></span>) leads to more
severe ozone pollution. With respect to fine-particle pollution, the role of
the <span class="inline-formula">HNO<sub>3</sub></span>–<span class="inline-formula">NO<sub>3</sub></span> partitioning system is investigated using a thermal
dynamic model (ISORROPIA 2). Under high relative humidity (RH) and
ammonia-rich conditions, nitric acid converts into nitrates. This study
highlights the efficient radical chemistry that maintains the atmospheric
oxidation capacity in Chinese<span id="page3494"/> megacities and results in secondary pollution
characterized by ozone and fine particles.</p> |
url |
https://www.atmos-chem-phys.net/19/3493/2019/acp-19-3493-2019.pdf |
work_keys_str_mv |
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doaj-03bcdfabfe864b948dbefafaa01f41632020-11-24T22:00:40ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242019-03-01193493351310.5194/acp-19-3493-2019Daytime atmospheric oxidation capacity in four Chinese megacities during the photochemically polluted season: a case study based on box model simulationZ. Tan0Z. Tan1K. Lu2M. Jiang3R. Su4H. Wang5S. Lou6Q. Fu7C. Zhai8Q. Tan9D. Yue10D. Chen11Z. Wang12S. Xie13L. Zeng14Y. Zhang15Y. Zhang16Y. Zhang17State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, ChinaInstitute of Energy and Climate Research, IEK-8: Troposphere, Forschungszentrum Jülich GmbH, Jülich, GermanyState 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 Environmental Protection Key Laboratory of Formation and Prevention of the Urban Air Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233, ChinaState Environmental Protection Key Laboratory of Formation and Prevention of the Urban Air Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233, ChinaShanghai Environmental Monitoring Center, Shanghai 200235, ChinaEcological and Environmental Monitoring Center of Chongqing, Chongqing 401147, ChinaChengdu Academy of Environmental Sciences, Chengdu 610072, ChinaState Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Monitoring Center, Guangzhou 510308, ChinaState Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Monitoring Center, Guangzhou 510308, ChinaBeijing Key Laboratory of Atmospheric Particulate Monitoring Technology, Beijing Municipal Environmental Monitoring Center, Beijing 100048, 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, ChinaBeijing Innovation Center for Engineering Sciences and Advanced Technology, Peking University, Beijing 100871, ChinaCAS Center for Excellence in Regional Atmospheric Environment, Chinese Academy of Sciences, Xiamen 361021, China<p>Atmospheric oxidation capacity is the basis for converting freshly emitted substances into secondary products and is dominated by reactions involving hydroxyl radicals (OH) during daytime. In this study, we present in situ measurements of <span class="inline-formula">RO<sub><i>x</i></sub></span> radical (hydroxy OH, hydroperoxy <span class="inline-formula">HO<sub>2</sub></span>, and organic peroxy <span class="inline-formula">RO<sub>2</sub></span>) precursors and products; the measurements are carried out in four Chinese megacities (Beijing, Shanghai, Guangzhou, and Chongqing) during photochemically polluted seasons. The atmospheric oxidation capacity is evaluated using an observation-based model and radical chemistry precursor measurements as input. The radical budget analysis illustrates the importance of HONO and HCHO photolysis, which account for <span class="inline-formula">∼50</span> % of the total primary radical sources. The radical propagation is efficient due to abundant NO in urban environments. Hence, the production rate of secondary pollutants, that is, ozone (and fine-particle precursors (<span class="inline-formula">H<sub>2</sub>SO<sub>4</sub></span>, <span class="inline-formula">HNO<sub>3</sub></span>, and extremely low volatility organic compounds, ELVOCs) is rapid, resulting in secondary air pollution. The ozone budget demonstrates its high production in urban areas; also, its rapid transport to downwind areas results in rapid increase in local ozone concentrations. The <span class="inline-formula">O<sub>3</sub></span>–<span class="inline-formula">NO<sub><i>x</i></sub></span>–VOC (volatile organic compound) sensitivity tests show that ozone production is VOC-limited and that alkenes and aromatics should be mitigated first for ozone pollution control in the four studied megacities. In contrast, <span class="inline-formula">NO<sub><i>x</i></sub></span> emission control (that is, a decrease in <span class="inline-formula">NO<sub><i>x</i></sub></span>) leads to more severe ozone pollution. With respect to fine-particle pollution, the role of the <span class="inline-formula">HNO<sub>3</sub></span>–<span class="inline-formula">NO<sub>3</sub></span> partitioning system is investigated using a thermal dynamic model (ISORROPIA 2). Under high relative humidity (RH) and ammonia-rich conditions, nitric acid converts into nitrates. This study highlights the efficient radical chemistry that maintains the atmospheric oxidation capacity in Chinese<span id="page3494"/> megacities and results in secondary pollution characterized by ozone and fine particles.</p>https://www.atmos-chem-phys.net/19/3493/2019/acp-19-3493-2019.pdf |