机动车排放对大连市高新园区七贤岭国控大气子站PM_(2.5)的影响  

Impact of Vehicle Emissions on PM_(2.5)of Qixianling National Control Atmospheric Sub-station in Dalian Hi-tech District

作　　者：邹顺瑛 赵辉 王思依 王伟 孙文豪 ZOU Shun-ying;ZHAO Hui;WANG Si-yi;WANG Wei;SUN Wen-hao(Dalian Ecological and Environmental Affairs Service Center,Dalian Liaoning 116600,China)

机构地区：[1]大连市生态环境事务服务中心,辽宁大连116600

出　　处：《环境科学导刊》2024年第6期24-27,37,共5页Environmental Science Survey

基　　金：辽宁省应用基础研究计划项目(2022JH2/101300119)。

摘　　要：为探讨交通状态对道路机动车PM_(2.5)排放的影响,经过收集数据,建立了机动车尾气动态排放情况与PM_(2.5)相关性量化关系模型。结果表明,道路交通状态是影响机动车道路总排放的重要因素,不同交通状态下,机动车排放的PM_(2.5)数值差别较大,严重拥堵交通状态下,机动车排放的PM_(2.5)是畅通状态下排放量的6.45倍。据此,结合GIS数据给出了大连市高新园区七贤岭国控大气子站周边10条道路的PM_(2.5)排放情况,结合气象因素模拟了该国控大气子站PM_(2.5)的成因,并给出部分管控建议。In order to discuss the impact of traffic conditions on PM_(2.5)emissions of vehicles,a quantitative relationship model between vehicle emissions and PM_(2.5)was established through data collection.It showed that the traffic status was an important factor affecting the total emissions of vehicles.Under different traffic conditions,the PM_(2.5)emissions of vehicles varied greatly.Under severe traffic congestion,the PM_(2.5)emissions were 6.45 times of those under smooth traffic conditions.Based on this,combined with GIS data,the PM_(2.5)emissions of 10 roads around Qixianling National Control Atmospheric Sub-station in Dalian Hi-tech District were given,and the causes of PM_(2.5)emissions were simulated with meteorological factors,and some management and control suggestions were given.

关 键 词：机动车排放 交通状态 动态排放 PM_(2.5)成因 量化模型 

分 类 号：X51[环境科学与工程—环境工程]