Queueing-driven transportation emissions and near-road exposure at a binational port of entry: An AERMOD assessment

IF 3.4 Q2 ENVIRONMENTAL SCIENCES
Atmospheric Environment: X Pub Date : 2026-04-01 Epub Date: 2026-04-22 DOI:10.1016/j.aeaoa.2026.100456
Mayra Chavez, Leonardo Vazquez-Raygoza, Wen-Whai Li
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引用次数: 0

Abstract

Queueing-driven transportation emissions at international ports of entry create localized air pollution hotspots affecting commuters, pedestrians, and facility workers. This study examines the Bridge of the Americas, a U.S.-Mexico port of entry in El Paso, Texas, using continuous Federal Equivalent Method monitoring and AERMOD dispersion modeling to assess traffic-related air pollutants. Monitored PM2.5 and NO2 concentrations were elevated at the port compared to a nearby reference site. Modeling showed that concentrations plateau once vehicle queues exceed 270 m, with levels declining tenfold within 200 m of the traffic lanes. Pedestrians experienced 75% of in-lane pollutant concentrations, and toll booth workers 66%. Modeled contributions accounted for 51% of PM2.5, 147% of PM10, and 7% of NO2 relative to monitored averages. Findings demonstrate how queue length, traffic mix, and weather impact exposure and support strategies, such as queue management, lane design, and walkway placement, to reduce emissions at border crossings.
两国入境口岸排队驱动的交通排放和近道路暴露:一项AERMOD评估
在国际入境口岸,排队驱动的交通排放造成局部空气污染热点,影响通勤者、行人和设施工人。本研究考察了位于德克萨斯州埃尔帕索的美国-墨西哥入境口岸美洲桥,使用连续的联邦等效方法监测和AERMOD分散模型来评估交通相关的空气污染物。监测到的PM2.5和二氧化氮浓度与附近参考点相比有所升高。模型显示,一旦车辆队列超过270米,浓度就会趋于平稳,在距离车道200米的范围内,浓度会下降10倍。行人承受了75%的车道内污染物浓度,收费站工人承受了66%。相对于监测的平均值,模型贡献了PM2.5的51%、PM10的147%和NO2的7%。研究结果展示了排队长度、交通组合和天气如何影响暴露和支持策略,如排队管理、车道设计和人行道布置,以减少过境点的排放。
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
Atmospheric Environment: X
Atmospheric Environment: X Environmental Science-Environmental Science (all)
CiteScore
8.00
自引率
0.00%
发文量
47
审稿时长
12 weeks
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