Aerosol characteristics including fumigation effect under weak precipitation over the southeastern coast of China

被引:19
|
作者
Zhang, Xiaolin [1 ,2 ]
Huang, Yinbo [1 ]
Rao, Ruizhong [1 ]
机构
[1] Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Atmospher Composit & Opt Radiat, Hefei 230031, Peoples R China
[2] Chinese Acad Sci, Grad Univ, Beijing 100039, Peoples R China
基金
中国国家自然科学基金;
关键词
Atmospheric aerosol particles; Precipitation; Scavenging coefficient; Fumigation effect; SCAVENGING COEFFICIENT; OPTICAL CHARACTERISTICS; HYGROSCOPIC PROPERTIES; ATMOSPHERIC AEROSOLS; FIELD-MEASUREMENTS; SIZE DISTRIBUTION; WATER DROPS; PARTICLES; CLOUD; CLIMATE;
D O I
10.1016/j.jastp.2012.05.005
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Aerosol size distribution, total number concentration, scattering coefficient and absorption coefficient were measured in Quanzhou on the southeastern coast of China, from December 13, 2010 to January 16, 2011. Five light-rain events were analyzed for statistical study and one typical light-rain process was chosen as the case study for analysis in detail. The study focuses on the influence of weak precipitation on aerosol light-scattering and absorption properties as well as the size distribution. Similar size distributions were observed between clear-day regime and light-rain regime. The scavenging coefficient in the scavenging gap was about 10(-4) s(-1) with the mean precipitation intensity of 0.5 mm/h, which were significantly larger than those of model estimations but close to those from other field measurements. Fumigation effect was also observed in the light-rain day due to the downward flow from the clouds at the beginning of precipitation in this measurement. (c) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:25 / 36
页数:12
相关论文
共 50 条
  • [1] Spatial and temporal characteristics of warm season convective storms over the southeastern coast of China
    Zhu, Jing
    Huang, Yidan
    Ye, Longbin
    Jiang, Yongcheng
    Chen, Jinpeng
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [2] Robustness of the aerosol weekly cycle over Southeastern China
    Wang, Wenshan
    Gong, Daoyi
    Zhou, Zhiyang
    Guo, Yuanxi
    ATMOSPHERIC ENVIRONMENT, 2012, 61 : 409 - 418
  • [3] A comprehensive analysis of trends in extreme precipitation over southeastern coast of Brazil
    Zilli, Marcia T.
    Carvalho, Leila M. V.
    Liebmann, Brant
    Silva Dias, Maria A.
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 37 (05) : 2269 - 2279
  • [4] First surface-based estimation of the aerosol indirect effect over a site in southeastern China
    Jianjun Liu
    Zhanqing Li
    Advances in Atmospheric Sciences, 2018, 35 : 169 - 181
  • [5] First surface-based estimation of the aerosol indirect effect over a site in southeastern China
    Liu, Jianjun
    Li, Zhanqing
    ADVANCES IN ATMOSPHERIC SCIENCES, 2018, 35 (02) : 169 - 181
  • [6] First Surface-based Estimation of the Aerosol Indirect Effect over a Site in Southeastern China
    Jianjun LIU
    Zhanqing LI
    AdvancesinAtmosphericSciences, 2018, 35 (02) : 169 - 181
  • [7] Increasing Compound Hazards of Tropical Cyclones and Heatwaves over Southeastern Coast of China under Climate Warming
    Wang, Pinya
    Yang, Yang
    Xue, Daokai
    Qu, Yi
    Tang, Jianping
    Leung, L. Ruby
    Liao, Hong
    JOURNAL OF CLIMATE, 2023, 36 (07) : 2243 - 2257
  • [8] Are precipitation anomalies associated with aerosol variations over eastern China?
    Xu, Xiangde
    Guo, Xueliang
    Zhao, Tianliang
    An, Xingqin
    Zhao, Yang
    Quan, Jiannong
    Mao, Fei
    Gao, Yang
    Cheng, Xinghong
    Zhu, Wenhui
    Wang, Yinjun
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2017, 17 (12) : 8011 - 8019
  • [9] Composite analysis of precipitation intensity and distribution characteristics of western track landfall typhoons over China under strong and weak monsoon conditions
    Zhou, Yushu
    Wu, Tianyi
    ATMOSPHERIC RESEARCH, 2019, 225 : 131 - 143
  • [10] THERMAL ENVIRONMENT OF RESIDENTIAL COMMUNITIES OVER A COAST AREA IN SOUTHEASTERN CHINA
    Chen, F.
    Shen, X. W.
    Huang, D. F.
    Huang, Y. X.
    URBAN GEOINFORMATICS 2022, 2022, : 9 - 14