Suppr超能文献

伊朗德黑兰挥发性有机化合物的来源解析。

Source apportionment of volatile organic compounds in Tehran, Iran.

机构信息

Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

Bull Environ Contam Toxicol. 2013 Apr;90(4):440-5. doi: 10.1007/s00128-012-0948-5. Epub 2013 Jan 3.

Abstract

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.

摘要

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。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验