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上海中心城区夏季挥发性有机物(VOCs)的源解析
引用本文:蔡长杰,耿福海,俞琼,安俊琳,韩晶晶.上海中心城区夏季挥发性有机物(VOCs)的源解析[J].环境科学学报,2010,30(5):926-934.
作者姓名:蔡长杰  耿福海  俞琼  安俊琳  韩晶晶
作者单位:1. 南京信息工程大学大气物理与大气环境重点实验室,南京,210044;上海市气象局,上海,200135
2. 上海市气象局,上海,200135
3. 南京信息工程大学大气物理与大气环境重点实验室,南京,210044;中国科学院大气物理研究所,北京,100029
基金项目:国家自然科学基金青年基金项目资助(No.40705046); 上海市科委国际合作项目(No.08230705200); 中国气象局风三卫星应用示范专项(No.FiDAF-1-05)
摘    要:2006~2008年夏季在上海徐家汇地区对大气中的挥发性有机物(VOCs)进行连续3h采样(6:00~9:00),共取得72个有效样本.同时,应用PCA/APCS(principal component analysis/absolute principal component scores)受体模型对大气中VOCs来源进行了分析.结果表明,上海夏季中心城区大气中VOCs主要有5个来源,分别为交通工具尾气排放、燃料挥发(液化石油气/天然气泄漏和汽油蒸发)、溶剂使用、工业生产和生物质/生物燃料燃烧+海洋源,其贡献率分别为34%、24%、16%、14%、12%.其中,芳香烃主要来自于溶剂使用、交通工具尾气排放、工业生产和燃料挥发,其分担率分别为35%、26%、22%、17%.烯烃主要来自于交通工具尾气排放和燃料挥发,其分担率为49%和40%.烷烃主要来自于交通工具尾气排放、燃料挥发和溶剂使用,其分担率分别为45%、32%、12%.模拟结果和已知源成分谱符合较好,说明PCA/APCS受体模型源解析结果可信.

关 键 词:挥发性有机物  PCA/APCS受体模型  源解析  源成分谱
收稿时间:2009/11/20 0:00:00
修稿时间:2009/12/30 0:00:00

Source apportionment of VOCs at city centre of Shanghai in summer
CAI Changjie,GENG Fuhai,YU Qiong,AN Junlin and HAN Jingjing.Source apportionment of VOCs at city centre of Shanghai in summer[J].Acta Scientiae Circumstantiae,2010,30(5):926-934.
Authors:CAI Changjie  GENG Fuhai  YU Qiong  AN Junlin and HAN Jingjing
Institution:Key Laboratory for Atmospheric Physics Environment, Nanjing University of Information Science and Technology, Nanjing 210044; 2. Shanghai Meteorological Bureau, Shanghai 200135,Shanghai Meteorological Bureau, Shanghai 200135,Shanghai Meteorological Bureau, Shanghai 200135,Key Laboratory for Atmospheric Physics Environment, Nanjing University of Information Science and Technology, Nanjing 210044; 2. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 and Key Laboratory for Atmospheric Physics Environment, Nanjing University of Information Science and Technology, Nanjing 210044
Abstract:VOCs were sampled from 6:00~9:00 am nearly every day from 2006~2008 in Xujiahui-the city centre of Shanghai. A receptor model based on principal component analysis/absolute principal component scores (PCA/APCS) was used to identify the major sources of VOCs and evaluate their contributions. In summer, 34% of the total VOC concentrations were attributed to vehicle related emissions, 24% to fuel evaporation (including LPG/NG leakage and gasoline evaporation), 16% to solvent usage, 14% to industrial production, and 12% to biomass/biofuel burning and ocean sources. For aromatics, 35% was attributed to solvent usage, 26% to vehicle related emissions, 22% to industrial production and 17% to fuel evaporation. For alkenes, vehicle related emissions and fuel evaporation are the main sources, accounting for 49% and 40%, respectively. For alkanes, vehicle related emissions accounted for 45%, fuel evaporation for 32% and solvent usage for 12%. Finally, the simulated values fit the known VOC source profiles, thus the PCA/APCS receptor model is verified.
Keywords:VOCs  PCA/APCS receptor model  source apportionment  source profiles
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