Temporal-spatial dynamic characteristics of vehicle emissions on intercity roads in Guangdong Province based on vehicle identity detection data

作     者：Hui Ding Yongming Zhao Shenhua Miao Tong Chen Yonghong Liu Hui Ding;Yongming Zhao;Shenhua Miao;Tong Chen;Yonghong Liu

作者机构：College of Automation&College of Artifical IntelligenceNanjing University of Posts and TelecommunicationsNanjing 210023China School of Intelligent Systems EngineeringSun Yat-Sen UniversityGuangzhou 510275China Guangdong Provincial Key Laboratory of Intelligent Transport SystemGuangzhou 510275China Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and ControlGuangzhou 510275China 

出 版 物：《Journal of Environmental Sciences》 (环境科学学报（英文版）)

年 卷 期：2023年第130卷第8期

页      面：126-138页

核心收录：

学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 07[理学] 08[工学] 070602[理学-大气物理学与大气环境] 0706[理学-大气科学] 0823[工学-交通运输工程] 

基　　金：supported by the Natural Science Foundation of China(No.U1811463,41975165) the National Key Research Program of China(No.2018YFB1601100) the Science Foundation Project of Guangdong(No.2019A1515010812) the Natural Science Research Start-up Foundation of Recruiting Talents of Nanjing University of Posts and Telecommunications(No.NY221125). 

主　　题：Intercity roads Dynamic vehicle emissions Vehicle identity detection data Diesel trucks 

摘      要：Estimating intercity vehicle emissions precisely would benefit collaborative control in multiple cities.Considering the variability of emissions caused by vehicles,roads,and traffic,the 24-hour change characteristics of air pollutants(CO,HC,NO_(X),PM_(2.5))on the intercity road network of Guangdong Province by vehicle categories and road links were revealed based on vehicle identity detection data in real-life traffic for each hour in July 2018.The results showed that the spatial diversity of emissions caused by the unbalanced economywas obvious.The vehicle emissions in the Pearl River Delta region(PRD)with a higher economic level were approximately 1–2 times those in the non-Pearl RiverDelta region(non-PRD).Provincial roads with high loads became potential sources of high emissions.Therefore,emission control policies must emphasize the PRD and key roads by travel guidance to achieve greater reduction.Gasoline passenger cars with a large proportion of traffic dominated morning and evening peaks in the 24-hour period and were the dominant contributors to CO and HC emissions,contributing more than 50%in the daytime(7:00–23:00)and higher than 26%at night(0:00–6:00).Diesel trucks made up 10%of traffic,but were the dominant player at night,contributed 50%–90%to NO_(X) and PM_(2.5) emissions,with amarked 24-hour change rule of more than 80%at night(23:00–5:00)and less than 60%during daytime.Therefore,targeted control measures by time-section should be set up on collaborative control.These findings provide time-varying decision support for variable vehicle emission control on a large scale.