中文关键词机动车高速公路时空分布臭氧生成潜势(OFP)趋势分析 英文关键词motor vehiclesexpresswayspatial and temporal distributionozone formation potential (OFP)trend analysis

作者	单位	E-mail
高丹丹	郑州大学化学学院, 郑州 450001	1632751378@qq.com
尹沙沙	郑州大学生态与环境学院, 郑州 450001	shashayin@zzu.edu.cn
谷幸珂	郑州大学化学学院, 郑州 450001
卢轩	郑州大学化学学院, 郑州 450001
张欢	郑州大学化学学院, 郑州 450001
张瑞芹	郑州大学生态与环境学院, 郑州 450001
王玲玲	河南省生态环境监测中心, 郑州 450004
齐艳杰	郑州大学化学学院, 郑州 450001

中文摘要 基于城市机动车保有量和高速公路交通流量，结合行驶里程和VOCs源谱，采用排放因子法建立了河南省2016~2019年城市和2016年高速公路机动车高分辨率大气污染物排放清单.结果表明，2016年小型客车和普通摩托车等汽油车是CO、VOCs和NH₃的主要贡献源，SO₂、NO_x和PM主要来自重型和轻型柴油货车，国1、国3和国4标准车对污染物排放贡献突出，郑州、周口和南阳的排放量较大；高速公路8~10月的车流量较高，11月最低，城市主干道周变化和日变化分别呈现出明显的周末效应和双峰特征；排放高值区集中在交通网密集、交通流量大的城市中心及市区附近向外辐射的道路上，连霍高速和京港澳高速是高排放道路；轻型汽油车对臭氧生成潜势（OFP）贡献最大，乙烯和丙烯等5个物种对VOCs排放量和OFP贡献均较大；2016~2019年机动车保有量年均增长率为5.7%；与2016年相比，2019年VOCs排放增加2.8%，SO₂、PM_2.5、PM₁₀、NH₃、CO和NO_x的降幅分别为76.3%、51.7%、50.3%、43.1%、16.7%和5.9%；2019年各污染物在控制政策下的实际排放量相对基准情景的减排比例在15.6%~82.4%之间. 英文摘要 Based on the collected urban motor vehicle activity ownership and traffic flow of highways, combined with the mileage and source profiles of VOCs, using the emission factor method, we established high-resolution emission inventories from 2016 to 2019 for urban and 2016-based highway motor vehicles, respectively, in Henan Province, China. The results showed that gasoline vehicles, particularly minibuses and ordinary motorcycles, were the main contributors of CO, VOCs, and NH₃, whereas heavy-duty and light-duty diesel trucks emitted SO₂, NO_x, and PM. Vehicles with China 1, China 3, and China 4 emission standards contributed significantly to pollutant emissions in the fleet. The temporal variation in traffic flow was consistent with the changes in freight and passenger traffic, with higher coefficients of variation for highways from August to October and the lowest in November. The weekly and daily changes in urban trunk roads showed distinct weekend effects and clear double-peak features, respectively. High-value emission areas were concentrated in urban centers with dense transport networks and high traffic volumes and on roads radiating outward from urban areas. The Lianhuo Expressway and the Beijing-Hong Kong-Macau Expressway were high-emission roads. Light-duty gasoline vehicles made the largest contribution to the ozone formation potential (OFP) of VOCs from motor vehicles. Five species, such as ethylene and propylene, contributed significantly to VOC emissions and OFP. The average annual growth rate of vehicle ownership from 2016 to 2019 was 5.7%. Compared with 2016, VOC emissions increased by 2.8% in 2019, whereas emissions of other pollutants showed decreasing trends of different degrees, with decreases of 76.3%, 51.7%, 50.3%, 43.1%, 16.7%, and 5.9% for SO₂, PM_2.5, PM₁₀, NH₃, CO, and NO_x, respectively. The emission reduction percentage of each pollutant in 2019 under the control policies relative to the baseline scenario ranged from 15.6% to 82.4%.

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