阳泉市2017年基于交通流量的机动车排放清单

解淑霞; 黄志辉; 王鑫; 唐祎骕; 何巍楠; 纪亮; 王燕军; 倪红

doi:10.12153/j.issn.1674-991X.20200169

阳泉市2017年基于交通流量的机动车排放清单

doi: 10.12153/j.issn.1674-991X.20200169

解淑霞^1,2,,
黄志辉^1,2,*, ,,
王鑫³,
唐祎骕¹,
何巍楠⁴,
纪亮^1,2,
王燕军^1,2,
倪红¹

1.
中国环境科学研究院
2.
国家环境保护机动车污染控制与模拟重点实验室
3.
北京交通大学
4.
北京交通发展研究院

详细信息

作者简介:
解淑霞(1975—),女,副研究员,博士,主要从事移动源污染控制研究, xiesx@craes.org.cn

通讯作者:
黄志辉 E-mail: huangzhihui@vecc-mep.org.cn

中图分类号: X51
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出版历程
- 收稿日期: 2020-07-06
- 刊出日期: 2021-03-20

Emission inventory of motor vehicle based on traffic flow for Yangquan City in 2017

XIE Shuxia^{1,2
,},
HUANG Zhihui^{1,2,*
, ,},
WANG Xin³,
TANG Yisu¹,
HE Weinan⁴,
JI Liang^1,2,
WANG Yanjun^1,2,
NI Hong¹

1.
Chinese Research Academy of Environmental Sciences
2.
State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation
3.
Beijing Jiaotong University
4.
Beijing Transport Institute

More Information

Corresponding author: HUANG Zhihui E-mail: huangzhihui@vecc-mep.org.cn

摘要

摘要: 通过van Aerde速度-流量模型模拟和交通流量调查获取了阳泉市路网的车流量、车型构成和车速基础数据,利用自下而上的方法,基于实际交通流量数据、机动车排放因子和路段,构建了阳泉市道路机动车排放清单,并分析了机动车污染物排放特征。结果表明:2017年阳泉市道路机动车排放的CO、HC、NO_x、PM分别为4.56×10⁴、0.96×10⁴、1.76×10⁴、0.024×10⁴ t。按道路类型划分,高速公路(含城市快速路)机动车污染物排放量较大,CO、HC、NO_x、PM排放量分别占排放总量的48.4%、48.9%、40.0%和34.3%;按车辆类型划分,小型客车是CO、HC排放的主要贡献者,重型货车是NO_x、PM排放的主要贡献者;按排放阶段划分,国4机动车排放的CO和HC占比较高,国3机动车排放的NO_x和PM占比较高;按区县划分,污染物排放量最大的为盂县,其次是平定县和郊区。机动车在道路上的实际排放量与道路类型、道路所属行政区域及车辆类型密切相关。
- 实际交通流量 /
- 排放清单 /
- 机动车尾气 /
- 空间分布
Abstract: The basic data of traffic flow, vehicle type and vehicle speed of road network in Yangquan City were obtained through the simulation by van Aerde speed-traffic flow model and the traffic flow survey. Based on the actual road traffic flow data, vehicle emission factors and road sections, the emission inventory of motor vehicle of Yangquan City was constructed by using the bottom-up method, and the emission characteristics of vehicle exhaust were analyzed. The results showed that the emissions of CO, HC, NO_x and PM from the road vehicles in the city in 2017 was 4.56×10⁴, 0.96×10⁴, 1.76×10⁴ and 0.024×10⁴ t, respectively. According to road category, the highway (including urban expressway) was the main contributor of CO, HC, NO_x and PM, accounting for 48.4%, 48.9%, 40.0% and 34.3% of total emissions respectively. In terms of vehicle type, car was the main contributor of CO and HC emission and heavy truck was the main contributor of NO_x and PM emission. Based on emission stages, vehicles of national stage 4 emitted the main proportion of CO and HC, vehicles of national stage 3 emitted the highest proportion of NO_x and PM. In the view of geographical distribution, Yu County was the largest pollutants emission area, followed by Pingding County and suburbs. The research showed that the actual emissions of motor vehicles on the road were closely related to the road category, the administrative region of the road and the vehicle type.
- actual traffic flow /
- emission inventory /
- vehicle exhaust /
- spatial distribution

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