Unpaved road particulate matter emission rates and vehicle-induced transient plume characteristics†

IF 2.8 Q3 ENVIRONMENTAL SCIENCES
James Kacer, Ralph Altmaier, David M. Cwiertny and Patrick T. O'Shaughnessy
{"title":"Unpaved road particulate matter emission rates and vehicle-induced transient plume characteristics†","authors":"James Kacer, Ralph Altmaier, David M. Cwiertny and Patrick T. O'Shaughnessy","doi":"10.1039/D4EA00055B","DOIUrl":null,"url":null,"abstract":"<p >Particulate matter (PM) emitted from unpaved rural roads presents a potential inhalation hazard to people living and working near them. In the absence of site-specific exposure data, plume dispersion modeling can be used to predict ambient particulate concentrations in the vicinity of the unpaved roads. Hourly averaged PM<small><sub>10</sub></small> concentrations were measured near a gravel road using an EPA reference method resulting in a geometric mean of 50 μg m<small><sup>−3</sup></small>. With these ambient concentrations, the AERMOD plume dispersion model was used to derive a PM emission factor of 444 g/VKT (grams per vehicle kilometer travelled). This result was lower than the emission factor calculated using the EPA's AP-42 guidance for unpaved roads (795 g/VKT). The transient nature of the plume of PM concentrations due to road traffic was also evaluated using a direct-reading instrument. Vehicle speed and wind speed were found to be significant determinants of PM concentration, average PM concentration, and total PM mass for each plume. Each vehicle produced an average concentration of 4096 μg m<small><sup>−3</sup></small> over the duration of the plume. Therefore, residents near the road are potentially exposed to substantially higher short-term concentrations from individual plumes than would be indicated by hourly averages.</p>","PeriodicalId":72942,"journal":{"name":"Environmental science: atmospheres","volume":" 9","pages":" 1042-1050"},"PeriodicalIF":2.8000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11342916/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental science: atmospheres","FirstCategoryId":"1085","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2024/ea/d4ea00055b","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Particulate matter (PM) emitted from unpaved rural roads presents a potential inhalation hazard to people living and working near them. In the absence of site-specific exposure data, plume dispersion modeling can be used to predict ambient particulate concentrations in the vicinity of the unpaved roads. Hourly averaged PM10 concentrations were measured near a gravel road using an EPA reference method resulting in a geometric mean of 50 μg m−3. With these ambient concentrations, the AERMOD plume dispersion model was used to derive a PM emission factor of 444 g/VKT (grams per vehicle kilometer travelled). This result was lower than the emission factor calculated using the EPA's AP-42 guidance for unpaved roads (795 g/VKT). The transient nature of the plume of PM concentrations due to road traffic was also evaluated using a direct-reading instrument. Vehicle speed and wind speed were found to be significant determinants of PM concentration, average PM concentration, and total PM mass for each plume. Each vehicle produced an average concentration of 4096 μg m−3 over the duration of the plume. Therefore, residents near the road are potentially exposed to substantially higher short-term concentrations from individual plumes than would be indicated by hourly averages.

Abstract Image

未铺设路面的道路颗粒物排放率和车辆诱发的瞬态羽流特征。
未铺设路面的农村道路排放的颗粒物(PM)对在其附近生活和工作的人有潜在的吸入危害。在缺乏特定地点暴露数据的情况下,可以使用羽流扩散模型来预测未铺设路面的道路附近的环境颗粒物浓度。使用美国环保局的参考方法测量了一条碎石路附近的 PM10 小时平均浓度,得出的几何平均值为 50 μg m-3。根据这些环境浓度,使用 AERMOD 烟羽扩散模型得出 PM 排放因子为 444 g/VKT(每车辆行驶公里克数)。这一结果低于使用美国环保局 AP-42 指南计算的未铺设路面道路的排放因子(795 克/VKT)。还使用直读仪器对道路交通造成的 PM 浓度羽流的瞬态性质进行了评估。结果发现,车辆速度和风速对每一羽流的可吸入颗粒物浓度、可吸入颗粒物平均浓度和可吸入颗粒物总质量都有显著的决定作用。在羽流持续期间,每辆车产生的平均浓度为 4096 μg m-3。因此,道路附近的居民可能会接触到比每小时平均值高得多的单个羽流的短期浓度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.90
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信