• 关键词：挥发性有机物  PCA/APCS受体模型  源解析  源成分谱

• 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)

• 蔡长杰
• 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; 2. 上海市气象局, 上海 200135

• 耿福海
• 上海市气象局, 上海 200135

• 俞琼
• 上海市气象局, 上海 200135

• 安俊琳
• 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; 2. 中国科学院大气物理研究所, 北京 100029

• 韩晶晶
• 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

• 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(principalcomponent 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.

• Abstract：VOCs were sampled from 6:00～9:00 am nearly every day from 2006～2008 in Xujiahui-the city centre of Shanghai. Areceptor 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/NGleakage and gasoline evaporation),16% to solvent usage,14% to industrial production,and 12% to biomass/biofuel burning and ocean sources. F_or aromatics,35% was attributed to solvent usage,26% to vehicle related emissions,22% to industrial production and 17% to fuel evaporation. F_or alkenes,vehicle related emissions and fuel evaporation are the main sources,accounting for 49% and 40%,respectively. F_or alkanes,vehicle related emissions accounted for 45%,fuel evaporation for 32% and solvent usage for 12%. Finally,the simulated values fit the known VOCsource profiles,thus the PCA/APCSreceptor model is verified.

• Key words：VOCs  PCA/APCS receptor model  source apportionment  source profiles

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