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使用RCFP-IC对南京市不同污染状况下PM_(2.5)中水溶性离子的观测分析
引用本文:钱文惟,朱彬,王红磊,程萌田,安俊琳,王跃思.使用RCFP-IC对南京市不同污染状况下PM_(2.5)中水溶性离子的观测分析[J].环境科学学报,2015,35(10):3300-3308.
作者姓名:钱文惟  朱彬  王红磊  程萌田  安俊琳  王跃思
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-云-降水重点开放实验室, 南京 210044;2. 云南省梁河县气象局, 梁河 679200,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-云-降水重点开放实验室, 南京 210044,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-云-降水重点开放实验室, 南京 210044,中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室, 北京 100029,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-云-降水重点开放实验室, 南京 210044,中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室, 北京 100029
基金项目:国家自然科学基金(No.41275143,41305135);江苏省高校自然科学研究重大基础研究项目(No.12KJA170003);中国科学院战略先导科技专项(B类)(No.XDB05020206);江苏省研究生培养创新计划(No.KYZZ_0241)
摘    要:本文使用大气细颗粒物快速捕集系统及化学成分在线分析系统(RCFP-IC)和美国热电污染气体分析系统(EMS系统)对2013年11月16日—12月10日南京地区PM2.5中主要水溶性离子和污染气体进行了观测分析,并结合气象要素数据分析了灰霾天PM2.5中主要水溶性离子的污染特征.结果表明:不同污染条件下PM2.5中水溶性离子分布差异较大,清洁天浓度最大的6种离子排序为SO2-4NO-3NH+4Cl-NO-2K+,霾天(11月20—24日)和雾-霾天(12月1—8日)前6种离子排序分别是SO2-4NH+4NO-3NO-2Cl-K+和NO-3SO2-4NH+4Cl-NO-2K+.受污染源和化学反应的日变化影响,不同离子的日变化特征不同.污染天NO-3、SO2-4和NH+4的浓度是干净天的2.8~5.0倍.不同水溶性离子对能见度的影响不同.

关 键 词:南京    RCFP-IC  水溶性离子
收稿时间:2014/11/24 0:00:00
修稿时间:4/2/2015 12:00:00 AM

Observational analysis of water-soluble ions in PM2.5 by using RCFP-IC under various conditions of air pollution in Nanjing
QIAN Wenwei,ZHU Bin,WANG Honglei,CHENG Mengtian,AN Junlin and WANG Yuesi.Observational analysis of water-soluble ions in PM2.5 by using RCFP-IC under various conditions of air pollution in Nanjing[J].Acta Scientiae Circumstantiae,2015,35(10):3300-3308.
Authors:QIAN Wenwei  ZHU Bin  WANG Honglei  CHENG Mengtian  AN Junlin and WANG Yuesi
Institution:1. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044;2. Lianghe Meteorological Bureau of Yunnan Province, Lianghe 679200,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044,State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044 and State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
Abstract:This article uses RCFP-IC and EMS to analyze major water-soluble ions in PM2.5 in Nanjing from 11th November to 10th December, 2013. Variations of water soluble ions in PM2.5 on pollution and clean days are analyzed in consideration of meteorological conditions. The results show that there are large differences in water-soluble ions of PM2.5 under various pollution conditions. The order of major ions is SO42- > NO3- > NH4+ > Cl- > NO2- > K+ on clean days, SO42- > NH4+ > NO3- > NO2- > Cl- > K+ on haze days (20th to 24th November), and NO3- > SO42- > NH4+ > Cl- > NO2- > K+ on fog-haze days(1th to 8th December).Daily ion concentrations are different due to the impact by the emission and chemical reactions in the air, with NO3-, SO42-and NH4+ concentrations on pollution days 2.8 to 5.0 times that on the clean days. The water-soluble ions show different effects on visibility.
Keywords:Nanjing  haze  RCFP-IC  water-soluble ions
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