Mobile VOC measurements in Commerce City, CO reveal the emissions from different sources.

J Air Waste Manag Assoc

Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA.

Published: October 2024

AI Article Synopsis

  • Source attribution of volatile organic compounds (VOCs) in urban areas is complicated by multiple pollution sources, but mobile labs with time-of-flight mass spectrometers (TOF-MS) provide high-resolution data for better identification.
  • Positive matrix factorization (PMF) is commonly used for analyzing pollution sources but has limitations, especially when applied to mobile data due to complexity, user choices, and chemical transformations.
  • In the Elyria Swansea neighborhood of Commerce City, CO, a simpler analysis proved more effective than PMF, identifying significant VOC contributions from an oil refinery, a wastewater treatment plant, and a local woodshop.

Article Abstract

Source attribution of volatile organic compounds (VOCs) can be challenging in urban areas, which have many point sources. Mobile laboratories using time-of-flight mass spectrometers (TOF-MS) can take measurements throughout areas of concern, resulting in data with high spatial resolution that can be used to more easily identify these sources. However, emissions in heavily polluted areas still undergo significant mixing over short distances, making source attribution of some compounds challenging. Positive matrix factorization (PMF) has been widely used for attributing pollutants to different sources when taking stationary measurements due to its ability to process large amounts of data into generally interpretable results. However, some limitations of PMF can impact its usefulness to mobile data; PMF is a computationally intensive process, requires some user choices in attributing factors to emissions sources, and results can be significantly impacted by chemical transformations after emission. Here, both PMF and a simpler comparative analysis method are evaluated in analyzing measurements taken in the Elyria Swansea neighborhood of Commerce City, CO. This neighborhood is located near an oil refinery, a wastewater treatment plant, local industrial shops, and major highways. PMF failed to differentiate between oil refinery emissions and traffic emissions, and had difficulties recognizing other key sources. A simpler comparative analysis showed that the refinery contributed significantly to VOC concentrations throughout the neighborhood, including air toxics such as benzene. A wastewater treatment plant contributed to methanethiol and dimethyl sulfide. Finally, a small woodshop was identified as a hyperlocal VOC source, and contributed high amounts of some VOCs, such as toluene and other solvents, in its immediate surroundings.: This work discusses mobile measurements of VOCs around Commerce City, CO, a heavily polluted urban area north of Denver, using a PTR-TOF-MS. Two different source attribution methods, positive matrix factorization (PMF) and comparative analysis, were evaluated in the context of mobile measurements. The results show that an oil refinery and a woodshop contributed greatly to many VOC concentrations in the Elyria Swansea residential area of Commerce City. Additional sources, such as a wastewater treatment plant, also contributed to some odorous VOCs. PMF was unable to fully describe sources based on the mobile data. Comparative analysis was useful in attributing more VOCs to different sources, but quantitative results were influenced by how the analysis is set up. These findings are relevant to the residents of Denver and regulatory bodies to better understand Denver air pollution, as well as to other mobile studies doing source attribution of VOCs.

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http://dx.doi.org/10.1080/10962247.2024.2379927DOI Listing

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