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The single-particle mixing state and cloud scavenging of black carbon at a high-altitude mountain site in southern China.

Authors :
Guohua Zhang
Qinhao Lin
Long Peng
Xinhui Bi
Duohong Chen
Mei Li
Lei Li
Brechtel, Fred J.
Jianxin Chen
Weijun Yan
Xinming Wang
Ping'an Peng
Guoying Sheng
Zhen Zhou
Source :
Atmospheric Chemistry & Physics Discussions; 2017, p1-39, 39p
Publication Year :
2017

Abstract

In the present study, a ground-based counterflow virtual impactor (GCVI) was used to sample cloud droplet residual (cloud RES) particles, while a parallel PM<subscript>2.5</subscript> inlet was used to sample cloud-free or cloud interstitial (cloud INT) particles. The mixing state of black carbon (BC)-containing particles in a size range of 0.1-1.6 μm and the mass concentrations of BC in the cloud-free, RES and INT particles were investigated using a single particle aerosol mass spectrometer (SPAMS) and two aethalometers, respectively, at a mountain site (1690 m a.s.l.) in southern China. The measured BC-containing particles were internally mixed extensively with sulfate, and were activated into cloud droplets to the same extent as all the measured particles. The results indicate the preferential activation of larger particles and/or that the production of secondary compositions shifts the BC-containing particles towards larger sizes. BC-containing particles with an abundance of both sulfate and organics were activated less than those with sulfate but limited organics, implying the importance of the mixing state on the incorporation of BC-containing particles into cloud droplets. The mass scavenging efficiency of BC with an average of 33 % was similar for different cloud events independent of the air mass. This is the first time that both the mixing state and cloud scavenging of BC in China have been reported. Since limited information on BC-containing particles in the free troposphere is available, the results also provide an important reference for the representation of BC concentrations, properties, and climate impacts in modeling studies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16807367
Database :
Complementary Index
Journal :
Atmospheric Chemistry & Physics Discussions
Publication Type :
Academic Journal
Accession number :
124929700
Full Text :
https://doi.org/10.5194/acp-2017-785