Spatially Resolved Source Apportionment of Industrial VOCs Using a Mobile Monitoring Platform

环境科学 炼油厂 石油化工 空气质量指数 无组织排放 分摊 汽油 空气污染 挥发性有机化合物 气溶胶 污染 石油 炼油厂 环境工程 废物管理 环境化学 温室气体 气象学 化学 法学 有机化学 政治学 工程类 物理 生物 生态学
作者
Robert M. Healy,Uwayemi M. Sofowote,Jonathan M. Wang,Yi‐Ping Phoebe Chen,Aaron Todd
出处
期刊:Atmosphere [Multidisciplinary Digital Publishing Institute]
卷期号:13 (10): 1722-1722 被引量:4
标识
DOI:10.3390/atmos13101722
摘要

Industrial emissions of volatile organic compounds (VOCs) directly impact air quality downwind of facilities and contribute to regional ozone and secondary organic aerosol production. Positive matrix factorization (PMF) is often used to apportion VOCs to their respective sources using measurement data collected at fixed sites, for example air quality monitoring stations. Here, we apply PMF analysis to high time-resolution VOC measurement data collected both while stationary and while moving using a mobile monitoring platform. The stationary monitoring periods facilitated the extraction of representative industrial VOC source profiles while the mobile monitoring periods were critical for the spatial identification of VOC hotspots. Data were collected over five days in a heavily industrialized region of southwestern Ontario containing several refineries, petrochemical production facilities and a chemical waste disposal facility. Factors associated with petroleum, chemical waste and rubber production were identified and ambient mixing ratios of selected aromatic, unsaturated and oxygenated VOCs were apportioned to local and background sources. Fugitive emissions of benzene, highly localized and predominantly associated with storage, were found to be the dominant local contributor to ambient benzene mixing ratios measured while mobile. Toluene and substituted aromatics were predominantly associated with refining and traffic, while methyl ethyl ketone was linked to chemical waste handling. The approach described here facilitates the apportionment of VOCs to their respective local industrial sources at high spatial and temporal resolution. This information can be used to identify problematic source locations and to inform VOC emission abatement strategies.

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