Contribution of hydroxymethanesulfonate (HMS) to severe winter haze in the North China Plain
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Published:2020-05-18
Issue:10
Volume:20
Page:5887-5897
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Ma Tao, Furutani Hiroshi, Duan Fengkui, Kimoto Takashi, Jiang Jingkun, Zhang Qiang, Xu XiaobinORCID, Wang YingORCID, Gao Jian, Geng Guannan, Li MengORCID, Song ShaojieORCID, Ma Yongliang, Che Fei, Wang Jie, Zhu Lidan, Huang Tao, Toyoda MichisatoORCID, He Kebin
Abstract
Abstract. Severe winter haze accompanied by high concentrations of
fine particulate matter (PM2.5) occurs frequently in the North China
Plain and threatens public health. Organic matter (OM) and sulfate are
recognized as major components of PM2.5, while atmospheric models often
fail to predict their high concentrations during severe winter haze due to
incomplete understanding of secondary aerosol formation mechanisms. By using
a novel combination of single-particle mass spectrometry and an optimized
ion chromatography method, here we show that hydroxymethanesulfonate (HMS),
formed by the reaction between formaldehyde (HCHO) and dissolved SO2 in
aerosol water, is ubiquitous in Beijing during winter. The HMS concentration
and the molar ratio of HMS to sulfate increased with the deterioration of
winter haze. High concentrations of precursors (SO2 and HCHO) coupled
with low oxidant levels, low temperature, high relative humidity, and
moderately acidic pH facilitate the heterogeneous formation of HMS, which
could account for up to 15 % of OM in winter haze and lead to up to 36 %
overestimates of sulfate when using traditional ion chromatography. Despite
the clean air actions having substantially reduced SO2 emissions, the HMS
concentration and molar ratio of HMS to sulfate during severe winter haze
increased from 2015 to 2016 with the growth in HCHO concentration. Our
findings illustrate the significant contribution of heterogeneous HMS
chemistry to severe winter haze in Beijing, which helps to improve the
prediction of OM and sulfate and suggests that the reduction in HCHO can
help to mitigate haze pollution.
Funder
National Natural Science Foundation of China
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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