华南高山背景地区黑碳云内清除特征

基于2020年南岭背景高山地区的3个典型云事件，利用地用逆流虚拟撞击器采集云中颗粒物，结合单颗粒黑碳光度计和激光雾滴谱仪分析黑碳浓度及云参数特征，探讨黑碳云内清除率及其影响因素.结果表明：进入云内的黑碳约占整体的20%，而云中含黑碳云滴的占比（4.67%）则少于含黑碳间隙颗粒的占比（15.31%）；黑碳的分粒径质量清除率和数量清除率接近，变化范围均为28%~59%；高液态含水量和云滴数浓度有利于黑碳云内清除率的增加，而黑碳云内清除率会随黑碳总浓度的增加而降低，各因素对于黑碳云内清除的影响由大到小为：云滴数浓度>液态含水量>总黑碳浓度.

In-cloud scavenging characteristics of black carbon in the mountain background region of South China

During three typical cloud events occurred in the mountain region of South China, a ground-based counterflow virtual impactor was used to collect particulate matter in clouds. A single particle soot photometer and a fog monitor were used to analyze the black carbon (BC) concentration and cloud parameters, respectively. BC in-cloud scavenging efficiency and its influencing factors were discussed. Results showed that the proportion of in-cloud BC was about 20%. 4.67% droplets contained BC, while the proportion of BC-containing interstitial particles is 15.31%. The mass and number scavenging efficiency of BC with different particle sizes were similar, ranging from 28% to 59%. High liquid water content and cloud droplet number concentration were beneficial to the in-cloud scavenging of BC, while BC in-cloud scavenging efficiency decreased with increasing total BC concentration. The order of the influence factors of BC in-cloud scavenging efficiency was cloud droplet number concentration > liquid water content> total BC concentration.