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高污染下云凝结核对雨、雾滴谱的影响
引用本文:方莎莎,韩永翔,王瑾,张智.高污染下云凝结核对雨、雾滴谱的影响[J].中国环境科学,2016,36(9):2585-2590.
作者姓名:方莎莎  韩永翔  王瑾  张智
作者单位:1. 南京信息工程大学气象灾害预报预警与评估协同创新中心, 中国气象局气溶胶与云降水重点开放实验室, 江苏 南京 210044; 2. 贵州省山地环境气候研究所, 贵州 贵阳 550002; 3. 云南省气象服务中心, 云南 昆明 650034
基金项目:国家自然科学基金资助项目(41375158,41030962);公益性行业专项(GYHY201306051)
摘    要:利用气候基准站、云凝结核计数器、雾滴谱仪和雨滴谱仪等观测资料,分析威宁污染时期云凝结核(CCN)对雨雾滴谱的影响. 结果表明:观测期间威宁CCN数浓度很高,S=0.2%、0.4%、0.6%和0.8%时的平均CCN浓度分别为2884、8003、10470、11685cm-3,与部分重污染城市相当;CCN有明显的日变化特征,分别在12:00、16:00和20:00出现峰值,与居民生活排放、火电源排放、湍流交换和气象条件等有关;利用N=CSk式拟合威宁CCN活化谱,平均拟合参数C=14288cm-3,k=0.8,表明该地属典型大陆型核谱;威宁冬季云层薄、云顶低的云系特点提供了宏观天气背景,高浓度CCN是导致此次雨、雾过程弱,滴谱窄的重要微观条件.

关 键 词:威宁  污染  云凝结核(CCN)  雨滴谱  雾滴谱  
收稿时间:2016-01-22

Impacts of CCN on droplet spectra of rain and fog during high pollution days
FANG Sha-sha,HAN Yong-xiang,WANG Jin,ZHANG Zhi.Impacts of CCN on droplet spectra of rain and fog during high pollution days[J].China Environmental Science,2016,36(9):2585-2590.
Authors:FANG Sha-sha  HAN Yong-xiang  WANG Jin  ZHANG Zhi
Institution:1. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China; 2. Guizhou institute of Mountainous Climate and Environment, Guiyang 550005, China; 3. Yunnan Meteorological Service Center, Kunming 650034, China
Abstract:Based on observational data obtained by a cloud condensation nuclei (CCN) counter, a fog droplet spectrometer and an raindrop disdrometer, together with ground-based meteorological data, the impacts of atmospheric pollutants on CCN and the droplet spectra of rain and fog were analyzed. Results showed that: the CCN concentration in Weining remained very high during the observation period, and the average CCN number concentration were 2884, 8003, 10470 and 11685cm-3 at S=0.2%, 0.4%, 0.6% and 0.8%, respectively, which were comparable with those obtained in polluted cities; the CCN concentration displayed a significant daily variation, peaking at 12:00, 16:00 and 20:00, respectively, which was relate to human activities, power plants emissions, turbulent exchange and meteorological conditions; the CCN spectra can be fitted by the expression N=CSk, with the fitting parameter C=14288cm-3 and k=0.8, indicating that the CCN spectra can be classified as a typical continental type. The precipitation characteristics of the stratiform cloud in Weining provided macro synoptic situations, and high CCN concentrations were an important microphysical condition for narrow droplet spectra of rain and fog.
Keywords:Weining  pollution  cloud condensation nuclei (CCN)  raindrop spectra  fog droplet spectra  
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