Knowledge Management System Of Guangzhou Institute of Geochemistry,CAS
Yang, Yuxiang1,2; Peng, Xiaocong1,2,3; Zhang, Guohua1,2,4; Hu, Xiaodong1,2,3; Guo, Ziyong1,2,3; Sun, Wei1,2,3; Fu, Yuzhen1,2; Jiang, Feng1,2,3,6; Ou, Jie5; Ding, Xiang1,2,4; Wang, Xinming1,2,3,4; Bi, Xinhui1,2,4 | |
In-cloud scavenging of chemically segregated particle types by individual particle observation | |
Source Publication | APPLIED GEOCHEMISTRY |
ISSN | 0883-2927 |
2023-05-01 | |
Volume | 152Pages:8 |
DOI | 10.1016/j.apgeochem.2023.105657 |
Language | 英语 |
WOS Research Area | Geochemistry & Geophysics |
Abstract | While aerosol plays a significant role in the formation of cloud, the in-cloud scavenging of chemically segregated particle types were still insufficiently investigated and the controlling factors remain ambiguous. Several field observations were carried out during 2018-2021 at Mt. Tianjing (1690 m a.s.l.) in southern China, based on ground-based counterflow virtual impactor (GCVI)-single particle aerosol mass spectrometer (SPAMS), to investigate the in-cloud scavenging (activation) of various particle types, including black carbon (BC), organiccontaining particles (OC), mineral dust (Dust), metal-containing particles (Metal), potassium-rich particles (Krich) and sea salt (SS). GCVI was used to sample cloud droplet residual particles (Res) while PM2.5 inlet sampled interstitial particles (Inter) during cloud events and ambient particles (Amb) on sunny days, respectively. Different types of particles were recognized based on spectral characteristics obtained by the SPAMS. Based on the coupled GCVI-SPAMS measurements, the number-based scavenging efficiencies (NSEs) of various particle types could be quantified. Besides, the influence of liquid water content (LWC), PM2.5, particle size, and mixing state on the NSEs were discussed. The NSE of SS was the highest (32.4%) while OC showed the lowest NSE (9.1%). Other particle types shared similar NSEs with all the detected particles, with an average of similar to 20-25%. Apart from OC, NSEs of other types of particles increased with the increase of LWC and decreased with the increase of the concentration of PM2.5, suggesting that numerous PM2.5 suppressed particles entering cloud droplets via competing for water vapor. The annual variations of NSEs were generally in accordance with LWC and PM2.5, reflecting the certain role of these environment conditions. The NSEs typically increased with particle size in a range of 0.2-2.0 & mu;m, reflecting the dominant nucleation mechanism during in-cloud scavenging. Particles mixed with sulfate and nitrate were easier to be scavenged than those coated with organic compounds, e.g., the discrepancy reached 11.8% for the K-rich particles. |
Keyword | Single particle In-cloud scavenging Liquid water content Mixing state |
WOS ID | WOS:001025439600001 |
Indexed By | SCI |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.gig.ac.cn/handle/344008/74497 |
Collection | 有机地球化学国家重点实验室 |
Corresponding Author | Zhang, Guohua |
Affiliation | 1.Chinese Acad Sci, State Key Lab Organ Geochem, Guangzhou 510640, Peoples R China 2.Chinese Acad Sci, Guangzhou Inst Geochem, Guangdong Prov Key Lab Environm Protect & Resource, Guangzhou 510640, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100039, Peoples R China 4.Guangdong Hong Kong Macao Joint Lab Environm Pollu, Hong Kong 510640, Guangdong, Peoples R China 5.Shaoguan Ecol Environm Monitoring Ctr, Shaoguan 512026, Peoples R China 6.Karlsruhe Inst Technol, Inst Meteorol & Climate Res, D-76344 Karlsruhe, Germany |
Recommended Citation GB/T 7714 | Yang, Yuxiang,Peng, Xiaocong,Zhang, Guohua,et al. In-cloud scavenging of chemically segregated particle types by individual particle observation[J]. APPLIED GEOCHEMISTRY,2023,152:8. |
APA | Yang, Yuxiang.,Peng, Xiaocong.,Zhang, Guohua.,Hu, Xiaodong.,Guo, Ziyong.,...&Bi, Xinhui.(2023).In-cloud scavenging of chemically segregated particle types by individual particle observation.APPLIED GEOCHEMISTRY,152,8. |
MLA | Yang, Yuxiang,et al."In-cloud scavenging of chemically segregated particle types by individual particle observation".APPLIED GEOCHEMISTRY 152(2023):8. |
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