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Published May 5, 2020 | Published + Supplemental Material
Journal Article Open

Aerosol–photolysis interaction reduces particulate matter during wintertime haze events

Abstract

Aerosol–radiation interaction (ARI) plays a significant role in the accumulation of fine particulate matter (PM_(2.5)) by stabilizing the planetary boundary layer and thus deteriorating air quality during haze events. However, modification of photolysis by aerosol scattering or absorbing solar radiation (aerosol–photolysis interaction or API) alters the atmospheric oxidizing capacity, decreases the rate of secondary aerosol formation, and ultimately alleviates the ARI effect on PM_(2.5) pollution. Therefore, the synergetic effect of both ARI and API can either aggravate or even mitigate PM_(2.5) pollution. To test the effect, a fully coupled Weather Research and Forecasting (WRF)-Chem model has been used to simulate a heavy haze episode in North China Plain. Our results show that ARI contributes to a 7.8% increase in near-surface PM_(2.5). However, API suppresses secondary aerosol formation, and the combination of ARI and API results in only 4.8% net increase of PM_(2.5). Additionally, API increases the solar radiation reaching the surface and perturbs aerosol nucleation and activation to form cloud condensation nuclei, influencing aerosol–cloud interaction. The results suggest that API reduces PM_(2.5) pollution during haze events, but adds uncertainties in climate prediction.

Additional Information

© 2020 National Academy of Sciences. Published under the PNAS license. Edited by Renyi Zhang, Texas A&M University, College Station, TX, and accepted by Editorial Board Member Robert E. Dickinson March 13, 2020 (received for review September 26, 2019). PNAS first published April 16, 2020. This work is financially supported by the National Key R&D Plan (Quantitative Relationship and Regulation Principle between Regional Oxidation Capacity of Atmospheric and Air Quality Grant 2017YFC0210000), the Strategic Priority Research Program of Chinese Academy of Sciences Grant XDB40030200, and the National Research Program for Key Issues in Air Pollution Control Grant DQGG0105. L.T.M. acknowledges support from NSF Award 1560494. The authors would like to acknowledge helpful discussions with Professor Huiming Bao and the help from Dr. Xiaoli Su for processing the Moderate-Resolution Imaging Spectroradiometer (MODIS) cloud data. Data and Materials Availability: All data used in the paper are available in the text or SI Appendix. Author contributions: J.W. and G.L. designed research; J.W., N.B., B.H., and G.L. performed research; S.L., Y.W., Z.S., X.L., L.L., R.W., Z.L., J.C., and X.T. analyzed data; and J.W., L.T.M., and G.L. wrote the paper. The authors declare no competing interest. This article is a PNAS Direct Submission. R.Z. is a guest editor invited by the Editorial Board. This article contains supporting information online at https://www.pnas.org/lookup/suppl/doi:10.1073/pnas.1916775117/-/DCSupplemental.

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Supplemental Material - pnas.1916775117.sapp.pdf

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Additional details

Created:
August 22, 2023
Modified:
October 20, 2023