The pathway of impacts of aerosol direct effects on secondary inorganic aerosol formation.


Journal

Atmospheric chemistry and physics
ISSN: 1680-7316
Titre abrégé: Atmos Chem Phys
Pays: Germany
ID NLM: 101214388

Informations de publication

Date de publication:
20 Apr 2022
Historique:
entrez: 29 8 2022
pubmed: 30 8 2022
medline: 30 8 2022
Statut: ppublish

Résumé

Airborne aerosols reduce surface solar radiation through light scattering and absorption (aerosol direct effects, ADEs), influence regional meteorology, and further affect atmospheric chemical reactions and aerosol concentrations. The inhibition of turbulence and the strengthened atmospheric stability induced by ADEs increases surface primary aerosol concentration, but the pathway of ADE impacts on secondary aerosol is still unclear. In this study, the online coupled meteorological and chemistry model (WRF-CMAQ; Weather Research and Forecasting-Community Multiscale Air Quality) with integrated process analysis was applied to explore how ADEs affect secondary aerosol formation through changes in atmospheric dynamics and photolysis processes. The meteorological condition and air quality in the Jing-Jin-Ji area (denoted JJJ, including Beijing, Tianjin, and Hebei Province in China) in January and July 2013 were simulated to represent winter and summer conditions, respectively. Our results show that ADEs through the photolysis pathway inhibit sulfate formation during winter in the JJJ region and promote sulfate formation in July. The differences are attributed to the alteration of effective actinic flux affected by single-scattering albedo (SSA). ADEs through the dynamics pathway act as an equally or even more important route compared with the photolysis pathway in affecting secondary aerosol concentration in both summer and winter. ADEs through dynamics traps formed sulfate within the planetary boundary layer (PBL) which increases sulfate concentration in winter. Meanwhile, the impact of ADEs through dynamics is mainly reflected in the increase of gaseous-precursor concentrations within the PBL which enhances secondary aerosol formation in summer. For nitrate, reduced upward transport of precursors restrains the formation at high altitude and eventually lowers the nitrate concentration within the PBL in winter, while such weakened vertical transport of precursors increases nitrate concentration within the PBL in summer, since nitrate is mainly formed near the surface ground.

Identifiants

pubmed: 36033648
doi: 10.5194/acp-22-5147-2022
pmc: PMC9413026
mid: NIHMS1826718
doi:

Types de publication

Journal Article

Langues

eng

Pagination

5147-5156

Subventions

Organisme : Intramural EPA
ID : EPA999999
Pays : United States

Déclaration de conflit d'intérêts

Competing interests. The contact author has declared that neither they nor their co-authors have any competing interests.

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Auteurs

Jiandong Wang (J)

Key Laboratory of Aerosol and Cloud Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China.

Jia Xing (J)

State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China.

Shuxiao Wang (S)

State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China.

Rohit Mathur (R)

U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA.

Jiaping Wang (J)

Jiangsu Provincial Collaborative Innovation Center for Climate Change, School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.

Yuqiang Zhang (Y)

Nicholas School of the Environment, Duke University, Durham, NC 27710, USA.

Chao Liu (C)

Key Laboratory of Aerosol and Cloud Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, 210044, China.

Jonathan Pleim (J)

U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA.

Dian Ding (D)

State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China.

Xing Chang (X)

State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China.

Jingkun Jiang (J)

State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China.

Peng Zhao (P)

Department of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China.

Shovan Kumar Sahu (SK)

State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China.

Yuzhi Jin (Y)

Key Laboratory of Aerosol and Cloud Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, 210044, China.

David C Wong (DC)

U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA.

Jiming Hao (J)

State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China.

Classifications MeSH