机动车排放对大连市高新园区七贤岭国控大气子站PM2.5的影响
Impact of Vehicle Emissions on PM2.5 of Qixianling National Control Atmospheric Sub-station in Dalian Hi-tech District
邹顺瑛 1赵辉 1王思依 1王伟 1孙文豪1
作者信息
- 1. 大连市生态环境事务服务中心,辽宁大连 116600
- 折叠
摘要
为探讨交通状态对道路机动车PM2.5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PM2.5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PM2.5数值差别较大,严重拥堵交通状态下,机动车排放的PM2.5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PM2.5排放情况,结合气象因素模拟了该国控大气子站PM2.5的成因,并给出部分管控建议.
Abstract
In order to discuss the impact of traffic conditions on PM2.5 emissions of vehicles,a quantitative relationship model between vehicle emissions and PM2.5 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 PM2.5 emissions of vehicles varied greatly.Under severe traffic congestion,the PM2.5 emissions were 6.45 times of those under smooth traffic conditions.Based on this,combined with GIS data,the PM2.5 emissions of 10 roads around Qixianling National Control Atmospheric Sub-station in Dalian Hi-tech District were given,and the causes of PM2.5 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/PM2.5成因/量化模型Key words
vehicle emission/traffic state/dynamic emission/cause of PM2.5/quantitative model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据