title: Assessing the Future Vehicle Fleet Electrification: The Impacts on Regional and Urban Air Quality.
abstract: There have been significant advancements in electric vehicles (EVs) in recent years. However, the different changing patterns in emissions at upstream and on-road stages and complex atmospheric chemistry of pollutants lead to uncertainty in the air quality benefits from fleet electrification. This study considers the Yangtze River Delta (YRD) region in China to investigate whether EVs can improve future air quality. The Community Multiscale Air Quality model enhanced by the two-dimensional volatility basis set module is applied to simulate the temporally, spatially, and chemically resolved changes in PM2.5concentrations and the changes of other pollutants from fleet electrification. A probable scenario (Scenario EV1) with 20% of private light-duty passenger vehicles and 80% of commercial passenger vehicles (e.g., taxis and buses) electrified can reduce average PM2.5concentrations by 0.4 to 1.1 μg m-3during four representative months for all urban areas of YRD in 2030. The seasonal distinctions of the air quality impacts with respect to concentration reductions in key aerosol components are also identified. For example, the PM2.5reduction in January is mainly attributed to the nitrate reduction, whereas the secondary organic aerosol reduction is another essential contributor in August. EVs can also effectively assist in mitigating NO2concentrations, which would gain greater reductions for traffic-dense urban areas (e.g., Shanghai). This paper reveals that the fleet electrification in the YRD region could generally play a positive role in improving regional and urban air quality.
authors.affiliation: School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University , Beijing 100084, P. R. China.
authors.forename: Wenwei
authors.initials: W
authors.lastname: Ke
authors.affiliation: Department of Mechanical Engineering, University of Michigan , Ann Arbor, Michigan 48109, United States.
authors.forename: Shaojun
authors.initials: S
authors.lastname: Zhang
authors.affiliation: School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University , Beijing 100084, P. R. China.|State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex , Beijing 100084, P. R. China.
authors.forename: Ye
authors.identifier: 0000-0002-2176-6174
authors.initials: Y
authors.lastname: Wu
authors.affiliation: Joint Institute for Regional Earth System Science and Engineering and Department of Atmospheric and Oceanic Sciences, University of California , Los Angeles, California 90095, United States.
authors.forename: Bin
authors.initials: B
authors.lastname: Zhao
authors.affiliation: School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University , Beijing 100084, P. R. China.|State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex , Beijing 100084, P. R. China.
authors.forename: Shuxiao
authors.identifier: 0000-0003-3381-4767
authors.initials: S
authors.lastname: Wang
authors.affiliation: School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University , Beijing 100084, P. R. China.|State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex , Beijing 100084, P. R. China.
authors.forename: Jiming
authors.initials: J
authors.lastname: Hao
mesh_terms: D000393:Air Pollutants; D000397:Air Pollution; D002681:China; D004784:Environmental Monitoring; D052638:Particulate Matter; D001335:Vehicle Emissions
chemical_list: D000393:Air Pollutants; D052638:Particulate Matter; D001335:Vehicle Emissions