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

IF 2.1 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL
Madison Rutherford, Abigail Koss, Joost de Gouw
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引用次数: 0

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.Implications: 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.

科罗拉多州商业城的移动 VOC 测量显示了不同来源的排放情况。
在点源众多的城市地区,挥发性有机化合物 (VOC) 的源归属可能具有挑战性。使用飞行时间质谱仪(TOF-MS)的移动实验室可以在整个受关注区域进行测量,从而获得高空间分辨率的数据,用于更容易地确定这些来源。然而,重污染地区的排放物在短距离内仍会发生显著的混合,这使得某些化合物的来源归属具有挑战性。正矩阵因式分解(PMF)因其能够将大量数据处理成一般可解释的结果,已被广泛用于在进行静态测量时将污染物归因于不同来源。然而,矩阵因式分解的一些局限性可能会影响其对移动数据的实用性;矩阵因式分解是一个计算密集型过程,需要用户在将因子归因于排放源时做出一些选择,而且结果可能会受到排放后化学转化的显著影响。在此,我们对 PMF 和一种更简单的比较分析方法进行了评估,以分析在科罗拉多州商业城伊利里亚-斯旺西社区进行的测量。该社区靠近炼油厂、污水处理厂、当地工业商店和主要高速公路。PMF 无法区分炼油厂排放和交通排放,也难以识别其他主要排放源。一项更简单的比较分析表明,炼油厂对整个社区的挥发性有机化合物(包括苯等空气有毒物质)浓度有很大影响。一家污水处理厂产生了甲硫醇和二甲基硫醚。最后,一个小型木工车间被确定为超本地挥发性有机化合物来源,在其周围环境中产生了大量的挥发性有机化合物,如甲苯和其他溶剂:本研究讨论了使用 PTR-TOF-MS 对科罗拉多州商业城(丹佛北部污染严重的城区)周围的挥发性有机化合物进行的移动测量。在移动测量的背景下,对正矩阵因式分解 (PMF) 和比较分析这两种不同的源归因方法进行了评估。结果表明,炼油厂和木工车间对商业城伊利里亚-斯旺西住宅区的许多挥发性有机化合物浓度有很大影响。其他来源,如污水处理厂,也产生了一些有气味的挥发性有机化合物。PMF 无法根据移动数据完全描述来源。比较分析有助于将更多的挥发性有机化合物归因于不同的来源,但定量结果受到分析设置方式的影响。这些研究结果对丹佛居民和监管机构更好地了解丹佛空气污染,以及其他对挥发性有机化合物进行源归因的移动研究都很有意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of the Air & Waste Management Association
Journal of the Air & Waste Management Association ENGINEERING, ENVIRONMENTAL-ENVIRONMENTAL SCIENCES
CiteScore
5.00
自引率
3.70%
发文量
95
审稿时长
3 months
期刊介绍: The Journal of the Air & Waste Management Association (J&AWMA) is one of the oldest continuously published, peer-reviewed, technical environmental journals in the world. First published in 1951 under the name Air Repair, J&AWMA is intended to serve those occupationally involved in air pollution control and waste management through the publication of timely and reliable information.
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