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上海城区典型污染过程VOCs特征及臭氧潜势分析
引用本文:崔虎雄,吴迓名,高松,段玉森,王东方,张懿华,伏晴艳.上海城区典型污染过程VOCs特征及臭氧潜势分析[J].环境科学,2011,32(12):3537-3542.
作者姓名:崔虎雄  吴迓名  高松  段玉森  王东方  张懿华  伏晴艳
作者单位:上海市环境监测中心,上海,200030
基金项目:环保部公益性科研专项计划课题项目(2010467001)
摘    要:利用在线气相色谱-氢火焰离子化(GC-FID)监测系统对上海市城区典型污染前、污染中和污染后的55种挥发性有机物(VOCs)进行了自动连续监测,分析了各个阶段VOCs(C2~C12)体积分数、物种变化特征.结果表明上海市城区典型污染前VOCs平均体积分数为27×10-9;污染中VOCs体积分数迅速增加,比污染前高3倍,达到87×10-9;具体以烷烃最高(35.2×10-9)、芳香烃次之(30.0×10-9)、烯烃最低(21.6×10-9);用最大臭氧生成潜势量(ΦOFP)对不同污染阶段污染VOCs大气活性进行了评估,结果表明不同污染阶段VOCs的ΦOFP均呈现污染前〈污染后〈污染中的变化特征.污染前期的ΦOFP依次是芳香烃(53.0%)〉烯烃(36.1%)〉烷烃(11.7%);污染中期的ΦOFP依次是芳香烃(54.7%)〉烯烃(36.7%)〉烷烃(9.8%);污染后期ΦOFP则依次是烯烃(52.7%)〉芳香烃(36.0%)〉烷烃(13.2%).具体关键活性物种主要包括甲苯、间、对二甲苯、1,3-丁二烯、乙烯、丙烯等芳香烃和烯烃物种,具体以烯烃C2~C4为主,芳香烃C6~C8为主.不同污染阶段O3与ΦOFP之间存在典型的非线性负相关关系,并且ΦOFP转化为O3的量均小于20%,说明臭氧浓度仍有很大上升空间;这对定量评估大气中VOCs对臭氧的影响具有重要意义.

关 键 词:典型污染  挥发性有机物  最大臭氧生成潜势量  增量反应性
收稿时间:2011/6/23 0:00:00
修稿时间:2011/8/11 0:00:00

Characteristics of Ambient VOCs and Their Role in O3 Formation:A Typical Air Pollution Episode in Shanghai Urban Area
CUI Hu-xiong,WU Ya-ming,GAO Song,DUAN Yu-sen,WANG Dong-fang,ZHANG Yi-hua and FU Qing-yan.Characteristics of Ambient VOCs and Their Role in O3 Formation:A Typical Air Pollution Episode in Shanghai Urban Area[J].Chinese Journal of Environmental Science,2011,32(12):3537-3542.
Authors:CUI Hu-xiong  WU Ya-ming  GAO Song  DUAN Yu-sen  WANG Dong-fang  ZHANG Yi-hua and FU Qing-yan
Institution:Shanghai Environmental Monitoring Center, Shanghai 200030, China;Shanghai Environmental Monitoring Center, Shanghai 200030, China;Shanghai Environmental Monitoring Center, Shanghai 200030, China;Shanghai Environmental Monitoring Center, Shanghai 200030, China;Shanghai Environmental Monitoring Center, Shanghai 200030, China;Shanghai Environmental Monitoring Center, Shanghai 200030, China;Shanghai Environmental Monitoring Center, Shanghai 200030, China
Abstract:The concentration, speciation and chemical reactivity of ambient volatile organic compounds (VOCs) in shanghai city were analyzed and measured by using online gas chromatography with flame ionization detection systems (GC-FID) during a typical air pollution episode (from Oct. 30th to Nov. 2nd, 2010) and 55 kinds of VOCs were detected. The results show that averaged concentrations of VOCs was 27 x 10(-9) before the episode, and then dramatically increased by 3 times (87 x 10(-9)) in the episode than the former, the main components were alkanes (35.2 x 10(-9)), aromatics (30.0 x 10(-9)), alkenes (21.6 x 10(-9)). Furthermore, the maximum ozone formation potential (PhiOFP) is analyzed and showed that PhiOFP (in the episode) > PhiOFP (after the episode) PhiOFP (before the episode). Before the episode, the percent of PhiOFP for aromatics 53.0% , alkenes 36. 1% and alkanes 11.7%; in the episode, the percent of PhiOFP for aromatics 54.7%, alkenes 36.7% and alkanes 9.8%; after the episode, the percent of PhiOFP for alkenes 52.7%, aromatics 36.0% and alkanes 13.2%. Alkenes (C2-C4) and aromatics (C6-C8) are the main components for the ozone formation, namely toluene, m,p-xylene, 1,3-butadiene, propene, ethene et al. In addition, the relationship is negative and nonlinear between the O3 and PhiOFP. And efficiencies of PhiOFP formed into O3 are below 20. 0% in different stage of episode. This is very important and meaningful for the quantitative evaluate the influence of VOCs towards O3.
Keywords:typical air pollution  volatile organic compounds  maximum ozone formation potential  maximum incremental reactivity
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