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Discussion papers
https://doi.org/10.5194/acp-2019-680
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2019-680
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 01 Aug 2019

Submitted as: research article | 01 Aug 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Chemistry and Physics (ACP).

Multimethod determination of the below-cloud wet scavenging coefficients of aerosols in Beijing, China

Danhui Xu1,2, Baozhu Ge1, Xueshun Chen1, Yele Sun1, Nianliang Cheng3, Mei Li4,5, Xiaole Pan1, Zhiqiang Ma6, Yuepeng Pan1, and Zifa Wang1 Danhui Xu et al.
  • 1State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Beijing Municipal Environmental Monitoring Center, Beijing 100048, China
  • 4Institute of MassSpectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China
  • 5Guangdong Provincial Engineering Research Center for on-line source apportionment system of air pollution, Guangzhou 10510632, China
  • 6Beijing Shangdianzi Regional Atmosphere Watch Station, Beijing 100089, China

Abstract. Wet scavenging is one of the most efficient processes that remove aerosols from the atmosphere. This process is not well constrained in chemical transport models (CTMs) due to a paucity of localized parameterization regarding below-cloud wet scavenging coefficient (BWSC). Here we conducted field measurements of the BWSC during the Atmospheric Pollution and Human Health-Beijing (APHH-Beijing) campaign of 2016. Notably, the observed BWSC values based on the updated aerosol mass balance agree well with another estimation technique by the updated aerosol mass balance, and they fall in a range of 10−5 s−1. The measurement in this winter campaign, combined with that in summer of 2014, supported an exponential power distribution of BWSCs with rainfall intensity. The observed parameters were also compared with both the theoretical calculations and modeling results. We found that the theoretical estimations can effectively characterize the observed BWSCs of aerosols with size smaller than 0.2 μm and larger than 2.5 μm. However, the theoretical estimations were one magnitude lower than observed BWSCs within 0.2–2.5 μm, a domain size range of urban aerosols. Such an underestimation of BWSC through theoretical method has been confirmed not only in APHH-Beijing campaign but also in all the rainfall events in summer of 2014. Since the model calculations usually originated from the theoretical estimations with simplified scheme, the significant lower BWSC would well explain the underprediction of wet depositions in polluted regions as reported by the Model Inter-Comparison Study for Asia (MICS-Asia) and the global assessment of the Task Force on Hemispheric Transport of Atmospheric Pollutants (TF-HTAP). The findings highlighted that the wet deposition module in the CTMs requires improvement based on field measurement estimation to construct a more reasonable simulation scheme for BWSC, especially in polluted regions.

Danhui Xu et al.
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