Impacts of On-Road Vehicular Emissions on U.S. Air Quality: A Comparison of Two Mobile Emission Models (MOVES and FIVE)

IF 3.8 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Siqi Ma, Daniel Tong, Colin Harkins, Brian C. McDonald, Chi-Tsan Wang, Yunyao Li, Bok H. Baek, Jung-Hun Woo, Yang Zhang
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引用次数: 0

Abstract

On-road vehicles are significant contributors to air pollution globally, particularly to nitrogen oxides (NOx) and ozone (O3). Quantifying their contribution to air quality is crucial to understanding the trends of vehicle emissions as low- and “zero” emission vehicles join the fleet. Modeling on-road emissions is complex due to various factors like fleet activities, traffic patterns, and meteorological conditions. We compare on-road emissions from two mobile models: the National Oceanic and Atmospheric Administration Fuel-based Inventory of Vehicle Emission (FIVE) and the US Environmental Protection Agency Motor Vehicle Emission Simulator (MOVES), finding they contribute 4%–33% to volatile organic compounds (VOCs), NOx, and fine particulate matter (PM2.5) in the contiguous United States (CONUS). Using a regional chemical transport model, we assess air quality effects under different emission scenarios. Both emission data sets yield satisfactory performance, with MOVES showing lower biases in ozone (O3) and PM2.5 over CONUS, while FIVE performs better at city scales due to higher urban NOx emissions. In January, on-road emissions increased surface O3 over western and southern US by up to 9.1%–13.1% but decreased by 2.5% over the northeastern US, while PM2.5 predictions vary across the US (−85% to 24%). In July, on-road emissions elevate O3 and PM2.5 concentrations by 15%–20% across CONUS, except in some west coast cities. They also greatly contribute to nitrogen dioxide (NO2) by more than 80% near roads and in urban areas. This study highlights the significant impact of on-road emissions on urban air quality and provides insights for improving air quality forecasting and management.

Abstract Image

公路车辆排放对美国空气质量的影响:两种移动排放模型(MOVES 和 FIVE)的比较
公路车辆是全球空气污染的重要来源,尤其是氮氧化物(NOx)和臭氧(O3)。随着低排放和 "零 "排放车辆的加入,量化它们对空气质量的贡献对于了解车辆排放趋势至关重要。由于车队活动、交通模式和气象条件等各种因素的影响,道路排放建模非常复杂。我们比较了美国国家海洋和大气管理局基于燃料的车辆排放清单(FIVE)和美国环境保护局机动车排放模拟器(MOVES)这两种移动模型的道路排放,发现它们对美国毗连地区(CONUS)的挥发性有机化合物(VOCs)、氮氧化物(NOx)和细颗粒物(PM2.5)的贡献率为 4%-33%。利用区域化学传输模型,我们评估了不同排放情景下的空气质量影响。两个排放数据集的性能都令人满意,MOVES 在 CONUS 的臭氧(O3)和 PM2.5 中显示出较低的偏差,而 FIVE 由于城市氮氧化物排放量较高,在城市范围内的性能更好。1 月份,道路排放使美国西部和南部的地表 O3 上升了 9.1%-13.1%,但美国东北部则下降了 2.5%,而美国各地的 PM2.5 预测值各不相同(-85% 到 24%)。7 月份,除一些西海岸城市外,路面排放使整个美国的臭氧和 PM2.5 浓度上升了 15%-20%。它们还大大增加了道路附近和城市地区的二氧化氮(NO2)浓度,增幅超过 80%。这项研究强调了道路排放对城市空气质量的重大影响,并为改进空气质量预测和管理提供了启示。
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来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
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