Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Bull Environ Contam Toxicol. 2013 Apr;90(4):440-5. doi: 10.1007/s00128-012-0948-5. Epub 2013 Jan 3.
Identifying the sources of volatile organic compounds (VOCs) is key issue to reducing ground-level ozone and PAN. A multivariate receptor model (Unmix) was used for the determination of the contributions of VOCs sources in Tehran-Iran. Concentrations of ambient C2-C10 VOCs were measured continuously and online at the center of Tehran city during the winter of 2012. A high correlation coefficient existed between measured and predicted values (R (2) = 0.99), indicating that the data were well modeled. Five possible VOCs source categories were identified and mobile sources such as vehicle exhaust (61 %) and fuel evaporation (12 %) more than half of the total VOC concentration. City gas and CNG sources, biogenic source, and industrial solvent source categories accounted for 17 %, 8 % and 2 % of the total VOC, respectively. Result showed Unmix for VOCs source apportionment can be used to analyze and generate air pollution control strategies and policies.
识别挥发性有机化合物(VOCs)的来源是减少地面臭氧和过氧乙酰硝酸酯(PAN)的关键。本研究采用多元受体模型(Unmix)确定了伊朗德黑兰VOCs 来源的贡献。2012 年冬季,在德黑兰市中心连续在线测量环境中 C2-C10VOCs 的浓度。测量值与预测值之间存在高度相关系数(R2=0.99),表明数据得到了很好的模拟。确定了 5 种可能的 VOCs 源类别,移动源(如车辆尾气(61%)和燃料蒸发(12%))超过总 VOC 浓度的一半。城市燃气和压缩天然气源、生物源和工业溶剂源类别分别占总 VOC 的 17%、8%和 2%。结果表明,Unmix 可用于分析和制定大气污染控制策略和政策。