Volume 11 Issue 2
Mar.  2021
Turn off MathJax
Article Contents
Article Navigation >  Journal of Environmental Engineering Technology  > 2021  >  11(2): 226-233
XIE Shuxia, HUANG Zhihui, WANG Xin, TANG Yisu, HE Weinan, JI Liang, WANG Yanjun, NI Hong. Emission inventory of motor vehicle based on traffic flow for Yangquan City in 2017[J]. Journal of Environmental Engineering Technology, 2021, 11(2): 226-233. doi: 10.12153/j.issn.1674-991X.20200169
Citation: XIE Shuxia, HUANG Zhihui, WANG Xin, TANG Yisu, HE Weinan, JI Liang, WANG Yanjun, NI Hong. Emission inventory of motor vehicle based on traffic flow for Yangquan City in 2017[J]. Journal of Environmental Engineering Technology, 2021, 11(2): 226-233. doi: 10.12153/j.issn.1674-991X.20200169
shu

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

doi: 10.12153/j.issn.1674-991X.20200169
  • 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
  • Received Date: 2020-07-06
  • Publish Date: 2021-03-20
    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, NOx 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, NOx 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 NOx 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 NOx 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.

     

    • FullText(HTML)
  • loading
    • References(38)
  • [1]
    柴发合, 陈义珍, 文毅, 等. 区域大气污染物总量控制技术与示范研究[J]. 环境科学研究, 2006,19(4):163-171.

    CHAI F H, CHEN Y Z, WEN Y, et al. Study for regional air pollutants total amount control technologies and demonstration[J]. Research of Environmental Sciences, 2006,19(4):163-171.
    [2]
    李荔, 张洁, 赵秋月, 等. 基于COPERT模型的江苏省机动车时空排放特征与分担率[J]. 环境科学, 2018,39(9):3976-3986.

    LI L, ZHANG J, ZHAO Q Y, et al. Vehicle exhaust emission characteristics and their contributions in Jiangsu Province[J]. Environmental Science, 2018,39(9):3976-3986.
    [3]
    车汶蔚, 郑君瑜, 钟流举. 珠江三角洲机动车污染物排放特征及分担率[J]. 环境科学研究, 2009,22(4):456-461.

    CHE W W, ZHENG J Y, ZHONG L J. Vehicle exhaust emission characteristics and contributions in the Pearl River Delta Region[J]. Research of Environmental Sciences, 2009,22(4):456-461.
    [4]
    樊守彬, 田灵娣, 张东旭, 等. 基于实际道路交通流信息的北京市机动车排放特征[J]. 环境科学, 2015,36(8):2750-2757.

    FAN S B, TIAN L D, ZHANG D X, et al. Emission characteristics of vehicle exhaust in Beijing based on actual traffic flow information[J]. Environmental Science, 2015,36(8):2750-2757.
    [5]
    樊守彬, 郭津津, 李雪峰. 基于路网车流量的北京城市副中心机动车污染控制情景[J]. 环境科学, 2018,39(8):3571-3579.

    FAN S B, GUO J J, LI X F. Motor vehicle pollution control scenarios of Beijing subsidiary administrative center based on road traffic flow[J]. Environmental Science, 2018,39(8):3571-3579.
    [6]
    WANG H K, CHEN C H, HUANG C, et al. On-road vehicle emission inventory and its uncertainty analysis for Shanghai,China[J]. Science of the Total Environment, 2008,398(1/2/3):60-67.
    [7]
    赵佳佳. 杭州市细颗粒物(PM2.5)源解析研究[D]. 杭州:浙江工业大学, 2015.
    [8]
    孙友敏, 李少洛, 陈春竹, 等. 济南市机动车排气污染特征及对市区PM2.5的影响[J]. 环境科学学报, 2018,38(4):1384-1391.

    SUN Y M, LI S L, CHEN C Z, et al. Study on characteristics of vehicle exhaust and the influence on PM2.5 in Jinan City[J]. Acta Scientiae Circumstantiae, 2018,38(4):1384-1391.
    [9]
    YANG J, MA S X, GAO B, et al. Single particle mass spectral signatures from vehicle exhaust particles and the source apportionment of on-line PM2.5 by single particle aerosol mass spectrometry[J]. Science of the Total Environment, 2017,593/594:310-318.
    [10]
    张意, 吴琳, 毛洪钧, 等. 天津市机动车污染物排放清单及控制对策研究[J]. 南开大学学报(自然科学版), 2017,50(1):90-96.

    ZHANG Y, WU L, MAO H J, et al. Research on vehicle emission inventory and its management strategies in Tianjin[J]. Acta Scientiarum Naturalium Universitatis Nankaiensis, 2017,50(1):90-96.
    [11]
    WU D, DING X, LI Q, et al. Pollutants emitted from typical Chinese vessels:potential contributions to ozone and secondary organic aerosols[J]. Journal of Cleaner Production, 2019,238:117862.
    [12]
    VU D, ROTH P, BERTE T, et al. Using a new Mobile Atmospheric Chamber(MACh) to investigate the formation of secondary aerosols from mobile sources:the case of gasoline direct injection vehicles[J]. Journal of Aerosol Science, 2019,133:1-11.
    [13]
    郑君瑜, 车汶蔚, 王兆礼. 基于交通流量和路网的区域机动车污染物排放量空间分配方法[J]. 环境科学学报, 2009,29(4):815-821.

    ZHENG J Y, CHE W W, WANG Z L. Traffic flow and road network-based spatial allocation of regional mobile source emission inventories[J]. Acta Scientiae Circumstantiae, 2009,29(4):815-821.
    [14]
    PALLAVIDINO L, PRANDI R, BERTELLO A, et al. Compilation of a road transport emission inventory for the province of Turin:advantages and key factors of a bottom-up approach[J]. Atmospheric Pollution Research, 2014,5(4):648-655.
    [15]
    郭佳栋, 葛蕴珊, 谭建伟, 等. 国V公交车实际道路排放特性研究[J]. 汽车工程, 2015,37(1):120-124.

    GUO J D, GE Y S, TAN J W, et al. A research on the real world emission characteristics of state-V buses[J]. Automotive Engineering, 2015,37(1):120-124.
    [16]
    李宇飞, 李振华, 胡京南, 等. 轻型汽油车尾气PM2.5的排放特征[J]. 环境科学研究, 2016,29(4):503-508.

    LI Y F, LI Z H, HU J N, et al. Emission profile of exhaust PM2.5 from light-duty gasoline vehicles[J]. Research of Environmental Sciences, 2016,29(4):503-508.
    [17]
    HE L Q, HU J N, YANG L, et al. Real-world gaseous emissions of high-mileage taxi fleets in China[J]. Science of the Total Environment, 2019,659:267-274.
    [18]
    AHLVIK P, EGGLESTON S, GORISSEN N, et al. COPERT Ⅱ :methodology and emission factors[R]. Copenhagen:European Environment Agency, 2005.
    [19]
    PERUGU H. Emission modelling of light-duty vehicles in India using the revamped VSP-based MOVES model:the case study of Hyderabad[J]. Transportation Research Part D:Transport and Environment, 2019,68:150-163.
    [20]
    于淼, 朱仁杰, 金文杰. MOVES2014a模拟机动车排放因子的影响因素分析[J]. 辽宁科技大学学报, 2018,41(5):395-400.

    YU M, ZHU R J, JIN W J. Analysis on factors influencing vehicle emission index by using MOVES2014a simulation[J]. Journal of University of Science and Technology Liaoning, 2018,41(5):395-400.
    [21]
    刘强. 基于MOVES的西安市出租车污染物排放分析[J]. 环境监测管理与技术, 2015,27(2):57-59.

    LIU Q. Analysis of taxi emissions in Xi ’an City based on MOVES[J]. The Administration and Technique of Environmental Monitoring, 2015,27(2):57-59.
    [22]
    杨建勋, 刘逸凡, 刘苗苗, 等. “互联网+”时代城市绿色低碳交通的挑战与对策[J]. 环境保护, 2018,46(11):43-46.

    YANG J X, LIU Y F, LIU M M, et al. The challenges and countermeasures for city-level low-carbon transportation development in the Internet era[J]. Environmental Protection, 2018,46(11):43-46.
    [23]
    2018年第三季度中国主要城市交通分析报告[R]. 北京:高德地图, 2018.
    [24]
    ZHANG S J, NIU T L, WU Y, et al. Fine-grained vehicle emission management using intelligent transportation system data[J]. Environmental Pollution, 2018,241:1027-1037.
    [25]
    蒋争明, 徐迅宇, 陈吟晖, 等. 空气质量多模式预报系统在中山市的应用[J]. 中国环境监测, 2018,34(4):34-43.

    JIANG Z M, XU X Y, CHEN Y H, et al. Application of air quality multi-model forecasting system in Zhongshan[J]. Environmental Monitoring in China, 2018,34(4):34-43.
    [26]
    徐文帅, 李云婷, 吴其重, 等. AQI标准下北京市空气质量数值预报系统及其在重大活动保障中的应用[J]. 中国环境监测, 2016,32(2):11-19.

    XU W S, LI Y T, WU Q Z, et al. Air quality numerical forecasting system and its application during the period of guarantee for major events in Beijing under AQI standard[J]. Environmental Monitoring in China, 2016,32(2):11-19.
    [27]
    黄成, 刘娟, 陈长虹, 等. 基于实时交通信息的道路机动车动态排放清单模拟研究[J]. 环境科学, 2012,33(11):3725-3732.

    HUANG C, LIU J, CHEN C H, et al. Dynamic road vehicle emission inventory simulation study based on real time traffic information[J]. Environmental Science, 2012,33(11):3725-3732.
    [28]
    刘登国, 刘娟, 黄伟民, 等. 基于交通信息的道路机动车排放NOx模拟研究[J]. 环境监测管理与技术, 2016,28(3):15-19.

    LIU D G, LIU J, HUANG W M, et al. Simulation study on NOx emission from vehicles based on traffic information[J]. The Administration and Technique of Environmental Monitoring, 2016,28(3):15-19.
    [29]
    李笑语, 吴琳, 邹超, 等. 基于实时交通数据的南京市主次干道机动车排放特征分析[J]. 环境科学, 2017,38(4):1340-1347.

    LI X Y, WU L, ZOU C, et al. Emission characteristics of vehicle exhaust in artery and collector roads in Nanjing based on real-time traffic data[J]. Environmental Science, 2017,38(4):1340-1347.
    [30]
    李丽, 刘永红, 邓思欣, 等. 基于动态交通流的佛山市机动车网格化排放清单[J]. 中山大学学报(自然科学版), 2017,56(2):66-75.

    LI L, LIU Y H, DENG S X, et al. Gridding emission inventory of vehicle exhaust in Foshan based on dynamic traffic flow information[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2017,56(2):66-75.
    [31]
    王凯, 樊守彬, 孙改红, 等. 基于行驶里程的北京市延庆区机动车排放清单建立及特征分析[J]. 环境工程技术学报, 2019,9(2):119-125.

    WANG K, FAN S B, SUN G H, et al. Motor vehicles emission inventory at county level based on vehicle kilometers travel:a case study of Yanqing District of Beijing[J]. Journal of Environmental Engineering Technology, 2019,9(2):119-125.
    [32]
    周子航, 邓也, 吴柯颖, 等. 成都市道路移动源排放清单与空间分布特征[J]. 环境科学学报, 2018,38(1):79-91.

    ZHOU Z H, DENG Y, WU K Y, et al. On-road mobile source emission inventory and spatial distribution characteristics in Chengdu[J]. Acta Scientiae Circumstantiae, 2018,38(1):79-91.
    [33]
    韩东银. 阳泉市区大气污染物扩散及空气质量控制研究[D].北京: 中国矿业大学(北京), 2014:51-53.
    [34]
    岳园圆. 基于多源数据的北京市多层次交通流基本图研究[D]. 北京:北京交通大学, 2015:8-14.
    [35]
    van AERDE M. Single regime speed-flow-density relationship for congested and uncontested highways[R]. Washington DC:Presented at the 74th TRB Annual Conference, 1995.
    [36]
    赵娜乐, 于雷, 陈旭梅, 等. 北京城市快速路交通流特性多维度研究[J]. 北京交通大学学报, 2010,34(6):35-39.

    ZHAO N L, YU L, CHEN X M, et al. A multidimensional study on traffic flow characteristics of expressways in Beijing[J]. Journal of Beijing Jiaotong University, 2010,34(6):35-39.
    [37]
    陈大山, 孙剑, 李克平, 等. 基于van Aerde模型的快速路交通流特征参数辨识[J]. 武汉理工大学学报(交通科学与工程版), 2013,37(6):1251-1254.

    CHEN D S, SUN J, LI K P, et al. Characteristic parameters identification of urban expressway traffic flow based on van Aerde model[J]. Journal of Wuhan University of Technology(Transportation Science & Engineering), 2013,37(6):1251-1254.
    [38]
    道路机动车大气污染物排放清单编制技术指南(试行)[A/OL]. (2014-12-31)[2020-08-06]. http://www.mee.gov.cn/gkml/hbb/bgg/201501/t20150107_293955.html.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article Views(574) PDF Downloads(106) Cited by()
    Proportional views
    Related

    Copyright © Editorial Department of Journal of Environmental Engineering Technology

    京ICP备05031605号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd.  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return