TY - JOUR
T1 - Unrecognized pollution by inorganic condensable particulate matter in the atmosphere
AU - Li, Mengying
AU - Yu, Shaocai
AU - Li, Pengfei
AU - Chen, Xue
AU - Song, Zhe
AU - Liu, Weiping
AU - Zhang, Xiaoye
AU - Zhang, Meigen
AU - Sun, Yele
AU - Liu, Zirui
AU - Jiang, Jingkun
AU - Lichtfouse, Eric
AU - Rosenfeld, Daniel
AU - Seinfeld, John H.
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
PY - 2024/2
Y1 - 2024/2
N2 - Protecting the population from aerosol pollution relies on forecasts using models with aerosol composition, yet the respective contributions of aerosol components are poorly known. In particular, the contribution of inorganic condensable particulate matter (PM) to aerosols is likely to be underestimated in most models because condensable particulate matter exceeds the amount of filterable particulate matter in emissions from stationary combustion sources. Moreover, condensable particulate matter is rarely included in current emission inventories. Here, we estimated the emissions of inorganic condensable particulate matter from stationary combustion sources based on monitoring information in China. Then we modeled the contributions of condensable particulate matter to simulated inorganic aerosols, e.g., sulfate, ammonium, and nitrate by designing a series of sensitivity simulation scenarios. The results show that the estimated emissions of inorganic components over mainland China are increased about five times after including inorganic condensable particulate matter, for both 2014 and 2017. Specifically, taking into account the inorganic condensable particulate matter, increased the average concentrations of sulfate by 104%, ammonium by 10%, nitrate by 11%, and PM2.5 by 21% for the Hangzhou site in December 2017. Similarly, the simulated average daily concentrations of sulfate from December 3 to 31, 2017, more than doubled, increasing from 3.17 to 8.41 μg m−3 for Gucheng, 7.70 to 16.75 μg m−3 for Chengdu, 4.08 to 9.43 μg m−3 for Lin’an, and 3.19 to 7.22 μg m−3 for Dalian.
AB - Protecting the population from aerosol pollution relies on forecasts using models with aerosol composition, yet the respective contributions of aerosol components are poorly known. In particular, the contribution of inorganic condensable particulate matter (PM) to aerosols is likely to be underestimated in most models because condensable particulate matter exceeds the amount of filterable particulate matter in emissions from stationary combustion sources. Moreover, condensable particulate matter is rarely included in current emission inventories. Here, we estimated the emissions of inorganic condensable particulate matter from stationary combustion sources based on monitoring information in China. Then we modeled the contributions of condensable particulate matter to simulated inorganic aerosols, e.g., sulfate, ammonium, and nitrate by designing a series of sensitivity simulation scenarios. The results show that the estimated emissions of inorganic components over mainland China are increased about five times after including inorganic condensable particulate matter, for both 2014 and 2017. Specifically, taking into account the inorganic condensable particulate matter, increased the average concentrations of sulfate by 104%, ammonium by 10%, nitrate by 11%, and PM2.5 by 21% for the Hangzhou site in December 2017. Similarly, the simulated average daily concentrations of sulfate from December 3 to 31, 2017, more than doubled, increasing from 3.17 to 8.41 μg m−3 for Gucheng, 7.70 to 16.75 μg m−3 for Chengdu, 4.08 to 9.43 μg m−3 for Lin’an, and 3.19 to 7.22 μg m−3 for Dalian.
KW - Condensable particulate matter
KW - Contribution
KW - Emission
KW - Inorganic aerosol
KW - PM
KW - Simulated concentration
UR - http://www.scopus.com/inward/record.url?scp=85171459002&partnerID=8YFLogxK
U2 - 10.1007/s10311-023-01644-9
DO - 10.1007/s10311-023-01644-9
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AN - SCOPUS:85171459002
SN - 1610-3653
VL - 22
SP - 49
EP - 56
JO - Environmental Chemistry Letters
JF - Environmental Chemistry Letters
IS - 1
ER -