• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 59 Issue 1
Jan.  2024
Turn off MathJax
Article Contents
Abstract
References
Journal of Southwest Jiaotong University  > 2024  >  59(1): 113-120.
WANG Xu, WANG Mingnian, YAN Tao, YU Li. Influence of Base Emission Factor Update on Tunnel Fresh-Air Demand[J]. Journal of Southwest Jiaotong University, 2024, 59(1): 113-120. doi: 10.3969/j.issn.0258-2724.20210585
Citation: WANG Xu, WANG Mingnian, YAN Tao, YU Li. Influence of Base Emission Factor Update on Tunnel Fresh-Air Demand[J]. Journal of Southwest Jiaotong University, 2024, 59(1): 113-120. doi: 10.3969/j.issn.0258-2724.20210585
shu

Influence of Base Emission Factor Update on Tunnel Fresh-Air Demand

doi: 10.3969/j.issn.0258-2724.20210585
  • 1.

    China Academy of Railway Sciences Corporation Limited, Beijing 100081, China

  • 2.

    Sichuan—Tibet Technology Innovation Center (Chengdu) of National Railway Co., Ltd., Chengdu 610213, China

  • 3.

    Sichuan—Tibet Railway Technology Innovation Center Co., Ltd., Chengdu 610213, China

  • 4.

    School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China

  • Received Date: 20 Jul 2021
  • Rev Recd Date: 26 Apr 2022
    • Available Online: 07 Aug 2023
  • Publish Date: 06 Jul 2022
    Abstract

  • To solve the design waste and idle operation of ventilation systems in urban tunnels caused by the continuous update of traffic vehicles, the influence of base emission factor update on tunnel fresh-air demand was studied, and two calculation methods of base emission factor in response to vehicle update were established. To begin with, the key parameters updating over time in the fresh-air demand formula were determined as base emission factors through theoretical analysis. Then, the influence of base emission factors and gradient-speed factor update on fresh-air demand was obtained based on quantitative analysis. Finally, according to foreign concepts and actual design experience, two calculation methods for base emission factors considering time were proposed. The results show that Chinese road tunnel ventilation design standards refer to the PIARC ventilation report when formulating the base emission factors, with the reasons explained. Compared with those in 2000, the base CO, NOx, and PM emission limits in 2021 are reduced by 81.6%, 76.7%, and 97.9% respectively. The most unfavorable design method using vehicle pollutant emission limits as base emission factors is established, and the base emission factors of each pollutant in 2018 are calculated as follows: the base CO emission factor is 0.0011 m3/(veh·km), and the base PM emission factor is 0.4610 m2/(veh·km), which are reduced by 84.3% and 77.0% compared with China Standard in 2014. The research results establish and verify the calculation method of base emission factors, which provides a reference for the design of urban road tunnel ventilation systems.

     

    • FullText(HTML)
    • References(26)
  • [1]
    张宏,姚延钢,杨晓勤. 城市道路轻型汽车行驶工况构建[J]. 西南交通大学学报,2019,54(6): 1139-1146,1154.

    ZHANG Hong, YAO Yangang, YANG Xiaoqin. Light-duty vehicles driving cycle construction based on urban roads[J]. Journal of Southwest Jiaotong University, 2019, 54(6): 1139-1146,1154.
    [2]
    中华人民共和国交通运输部. 公路隧道通风设计细则: JTG/T D70/2-02—2014[S]. 北京: 人民交通出版社, 2014.
    [3]
    WANG M N, WANG X, YU L, et al. Field measurements of the environmental parameter and pollutant dispersion in urban undersea road tunnel[J]. Building and Environment, 2019, 149: 100-108. doi: 10.1016/j.buildenv.2018.11.036
    [4]
    WANG X, WANG M N, CHEN J, et al. Analysis of calculation of fresh-air demand for road tunnel ventilation design in China[J]. Tunnelling and Underground Space Technology, 2020, 103: 103469.1-103469.8. doi: 10.1016/j.tust.2020.103469
    [5]
    吴德兴,任小峰,郑国平. 公路特长隧道通风与照明系统协同集约化设计探索[J]. 交通运输研究,2017,3(6): 40-45. doi: 10.16503/j.cnki.2095-9931.2017.06.006

    WU Dexing, REN Xiaofeng, ZHENG Guoping. Collaborative intensive design of ventilation and lighting system of highway extra-long tunnel[J]. Transportation Standardization, 2017, 3(6): 40-45. doi: 10.16503/j.cnki.2095-9931.2017.06.006
    [6]
    朱凌,刘杨青. 高速公路隧道运营管理费用的分析研究[J]. 公路交通科技(应用技术版),2013(9): 219-220.
    [7]
    DENG Y W, CHEN C, LI Q, et al. Measurements of real-world vehicle CO and NO x fleet average emissions in urban tunnels of two cities in China[J]. Atmospheric Environment, 2015, 122: 417-426. doi: 10.1016/j.atmosenv.2015.08.036
    [8]
    王明年,王旭,于丽,等. 翔安海底隧道运营环境及污染物分布规律[J]. 西南交通大学学报,2020,55(4): 695-703.

    WANG Mingnian, WANG Xu, YU Li, et al. Operating environment and pollutant distribution in Xiang’an undersea tunnel[J]. Journal of Southwest Jiaotong University, 2020, 55(4): 695-703.
    [9]
    刘洋. 西安城市公路隧道空气污染物浓度分布及通风方式研究[D]. 西安: 西安工程大学, 2018.
    [10]
    宁艳涛,贺肖杰. 青岛胶州湾海底公路隧道污染物浓度水平测试[J]. 建筑热能通风空调,2020,39(10): 72-75,71. doi: 10.3969/j.issn.1003-0344.2020.10.018

    NING Yantao, HE Xiaojie. Field measurement of contaminant concentration in underwater road tunnel[J]. Building Energy & Environment, 2020, 39(10): 72-75,71. doi: 10.3969/j.issn.1003-0344.2020.10.018
    [11]
    王东伟,苟红松,戴新. 南昌红谷隧道通风及洞口污染物排放分析[J]. 暖通空调,2021,51(3): 59-65.

    WANG Dongwei, GOU Hongsong, DAI Xin. Analysis on ventilation and pollutant emission at entrance of Honggu Tunnel in Nanchang[J]. Heating Ventilating & Air Conditioning, 2021, 51(3): 59-65.
    [12]
    刘靖晗. 城市道路隧道空气污染状况实验研究与数值模拟[D]. 济南: 山东建筑大学, 2020.
    [13]
    张继业,郑伟范. 交通流随机行为的研究进展[J]. 西南交通大学学报,2016,51(3): 534-545.

    ZHANG Jiye, ZHENG Weifan. Research on stochastic behavior of traffic flow[J]. Journal of Southwest Jiaotong University, 2016, 51(3): 534-545.
    [14]
    上海市隧道工程轨道交通设计研究院. 道路隧道设计标准: DG/TJ 08-2033—2017 [S]. 上海: 同济大学出版社, 2017.
    [15]
    STURM P, BRANDT R, BURKHART J F, et al. Road tunnels: vehicle emissions and air demand for ventilation[M]. Paris: PIARC World Road Association, 2019.
    [16]
    Technical Committee on Road Tunnels. Road tunnels: emissions, environment, ventilation[M]. Paris: PIARC World Road Association, 1995.
    [17]
    STURM P, ZUMSTEG F, ALARCON A E, et al. Road tunnels: vehicle emissions and air demand for ventilation[M]. Paris: PIARC World Road Association, 2004.
    [18]
    STURM P, BRANDT R, BORCHIELLINI R, et al. Road tunnels: vehicle emissions and air demand for ventilation[M]. Paris: PIARC World Road Association, 2012.
    [19]
    交通部重庆公路科学研究院. 公路隧道通风照明设计规范: JTJ 026.1—1999[S]. 北京: 人民交通出版社, 1999.
    [20]
    牛国华. 机动车排放因子模型数据库研究[D]. 武汉: 武汉理工大学, 2011.
    [21]
    刘恒宇,汝宜红. 考虑交通拥堵及工作量平衡性的一致性车辆路径问题[J]. 西南交通大学学报,2016,51(5): 931-937. doi: 10.3969/j.issn.0258-2724.2016.05.016

    LIU Hengyu, RU Yihong. Consistent vehicle routing problem considering traffic congestion and workload balance[J]. Journal of Southwest Jiaotong University, 2016, 51(5): 931-937. doi: 10.3969/j.issn.0258-2724.2016.05.016
    [22]
    NTZIACHRISTOS L, GKATZOFLIAS D, KOURIDIS C, et al. COPERT: a European road transport emission inventory model[C]//Information Technologies in Environmental Engineering: Proceedings of the 4th International ICSC Symposium Thessaloniki. Greece: Springer Berlin Heidelberg, 2009: 491-504.
    [23]
    中华人民共和国生态环境部. 道路机动车大气污染物排放清单编制技术指南（试行）[R/OL].（2015-01-13）[2023-09-09]. https://www.mee.gov.cn/ywdt/hjnews/201501/ t20150113_294091.shtml.
    [24]
    徐倩. 基于城市交通特征的中国机动车排放清单建立[D]. 广州: 暨南大学, 2020.
    [25]
    车轮飞. 公路隧道通风系统设计工程实录[M]. 北京: 中国建筑工业出版社, 2014.
    [26]
    大气环境司. 中国机动车环境管理年报（2018）[R]. 北京: 生态环境部, 2018.
    • Relative Articles

  • Relative Articles

    [1]TAO Liangliang, ZENG Yanhua, ZHOU Xiaohan, TIAN Xiaoyu. Effect of Mechanical Ventilation and Ground Temperature on Anti-Freezing Length of Tunnels in Cold Regions[J]. Journal of Southwest Jiaotong University, 2024, 59(1): 29-38. doi: 10.3969/j.issn.0258-2724.20211002
    [2]LIANG Zhe, LIU Hainan, XIANG Zerui, ZHI Jinyi, BU Liuru, HE Tianyu. Influence of Regional Cultural Factors in Exterior Design of Urban Rail Vehicles[J]. Journal of Southwest Jiaotong University, 2023, 58(5): 1194-1202. doi: 10.3969/j.issn.0258-2724.20210548
    [3]TANG Xifeng, HE Jie, ZHANG Hao. Two-Echelon Location Routing Problem Considering Carbon Emissions and Its Algorithm[J]. Journal of Southwest Jiaotong University, 2023, 58(5): 1110-1116, 1125. doi: 10.3969/j.issn.0258-2724.20210773
    [4]LÜ Biao, GAO Ziqiang, GUAN Xinyi, LIU Yiliu. Resilience Assessment of Urban Road Network Based on Day-to-Day Traffic Assignment[J]. Journal of Southwest Jiaotong University, 2020, 55(6): 1181-1190. doi: 10.3969/j.issn.0258-2724.20191214
    [5]WANG Mingnian, WANG Xu, YU Li, DENG Tao. Operating Environment and Pollutant Distribution in Xiang’an Undersea Tunnel[J]. Journal of Southwest Jiaotong University, 2020, 55(4): 695-703. doi: 10.3969/j.issn.0258-2724.20180714
    [6]ZHANG Hong, YAO Yangang, YANG Xiaoqin. Light-Duty Vehicles Driving Cycle Construction Based on Urban Roads[J]. Journal of Southwest Jiaotong University, 2019, 54(6): 1139-1146, 1154. doi: 10.3969/j.issn.0258-2724.20180224
    [7]LÜ Biao, LIU Yiliu, LIU Haixu. Urban Road Network Design with Balance between Vulnerability and Reliability[J]. Journal of Southwest Jiaotong University, 2019, 54(5): 1093-1103. doi: 10.3969/j.issn.0258-2724.20180812
    [8]WANG Kai, LIAO Haili, LI Mingshui, MA Cunming. Determination Method for Basic Design Wind Speed of Mountainous-Valley Bridge[J]. Journal of Southwest Jiaotong University, 2013, 26(1): 29-35. doi: 10.3969/j.issn.0258-2724.2013.01.005
    [9]NIE Qinghui, XIA Jingxin, QIAN Zhendong. Short-Term Traffic Flow Forecasting and Reliability Analysis of Urban Road[J]. Journal of Southwest Jiaotong University, 2013, 26(5): 955-960. doi: 10.3969/j.issn.0258-2724.2013.05.027
    [10]ZHANG Jian-qiang, SHIRAISHI Sayaka, WATANABE Izumi. Heavy Metal Pollution of Dust,Topsoil and Roadside Tree Near by Main City Roadways[J]. Journal of Southwest Jiaotong University, 2006, 19(1): 68-73.
    [11]ZHANG Guang-peng, LEIBo. NeuralNetwork Online Control to Road Tunnel with LongitudinalVentilation[J]. Journal of Southwest Jiaotong University, 2005, 18(6): 765-768.
    [12]QUPeng-ju. BilevelProgramm ingM odel for C ity Road Network Planning and ItsApplication[J]. Journal of Southwest Jiaotong University, 2005, 18(6): 793-797.
    [13]ZHOU Bin. Method for Predicting Internal Combustion Engine Emission under Steady Operational Condition[J]. Journal of Southwest Jiaotong University, 2004, 17(2): 135-138.
    [14]ZENG Yan-hua, LI Yong-lin, HE Chuan, GUAN Bao-shu. Tunnel Ventilation Network Calculation[J]. Journal of Southwest Jiaotong University, 2003, 16(2): 183-187.
    [15]WU Bi-jun, LI Li-xin, LEI Xiao-ping. Shortest Path Searching Based on City Road Database[J]. Journal of Southwest Jiaotong University, 2003, 16(1): 80-83.
    [16]ZHOUBin, LI Yu-mei, WANG Guo-qua. Experimental Study on Exhaust Emission of Diesel Engine under Steady Operating Conditions[J]. Journal of Southwest Jiaotong University, 2002, 15(4): 421-424.
    [17]ZHOU Bin, LI Yu-mei, SHIGA Seiichi. Selection of the Learning Samples of Neural Networks for Internal-Combustion Engine Emission[J]. Journal of Southwest Jiaotong University, 2002, 15(6): 659-663.
    [18]Zhu Bing, Guan Baoshu, ZhengDaofang. Numerical Simulation of Longitudinal Ventilation of Long Highway Tunnel[J]. Journal of Southwest Jiaotong University, 1999, 12(2): 133-137.
    • Supplements(0)
    • Cited By

  • Cited by

    Periodical cited type(3)

    1. 成亮，袁浩庭，杨秀军. 深中通道隧道智慧通风设计探索. 中国交通信息化. 2025(S1): 299-300 .
    2. 唐宏辉，魏立新，徐志胜，赵家明，于子涵，王娟，谢艺强. 城市中长距离沉管隧道风机开启策略及污染物分布规律研究. 隧道建设(中英文). 2024(S1): 71-81 .
    3. 何世永，唐欢欢，梁波，史玲娜，李杰，刘豪，王晓钰. 特长公路隧道通风照明联动理论及技术研究现状与进展. 现代隧道技术. 2024(04): 28-40 .

    Other cited types(1)

  • Created with Highcharts 5.0.7Amount of accessChart context menuAbstract Views, HTML Views, PDF Downloads StatisticsAbstract ViewsHTML ViewsPDF Downloads2024-092024-102024-112024-122025-012025-022025-032025-032025-042025-052025-062025-07051015202530
    Created with Highcharts 5.0.7Chart context menuAccess Class DistributionFULLTEXT: 28.7 %FULLTEXT: 28.7 %META: 66.7 %META: 66.7 %PDF: 4.6 %PDF: 4.6 %FULLTEXTMETAPDF
    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 11.9 %其他: 11.9 %Seattle: 0.2 %Seattle: 0.2 %上海: 0.7 %上海: 0.7 %临汾: 0.2 %临汾: 0.2 %兰州: 0.9 %兰州: 0.9 %北京: 5.9 %北京: 5.9 %南京: 0.2 %南京: 0.2 %台州: 0.2 %台州: 0.2 %合肥: 0.2 %合肥: 0.2 %哈尔滨: 0.2 %哈尔滨: 0.2 %哥伦布: 0.4 %哥伦布: 0.4 %嘉兴: 0.2 %嘉兴: 0.2 %塔什干: 0.2 %塔什干: 0.2 %大庆: 0.6 %大庆: 0.6 %大连: 0.2 %大连: 0.2 %天津: 0.9 %天津: 0.9 %宣城: 0.4 %宣城: 0.4 %山景城: 0.2 %山景城: 0.2 %广州: 0.2 %广州: 0.2 %延安: 0.2 %延安: 0.2 %张家口: 4.1 %张家口: 4.1 %成都: 2.4 %成都: 2.4 %扬州: 1.5 %扬州: 1.5 %日喀则: 0.2 %日喀则: 0.2 %昆明: 0.4 %昆明: 0.4 %杭州: 0.2 %杭州: 0.2 %格兰特县: 0.4 %格兰特县: 0.4 %武汉: 0.7 %武汉: 0.7 %池州: 0.4 %池州: 0.4 %济南: 0.2 %济南: 0.2 %淄博: 0.2 %淄博: 0.2 %深圳: 1.7 %深圳: 1.7 %温州: 0.7 %温州: 0.7 %湘潭: 0.2 %湘潭: 0.2 %漯河: 2.0 %漯河: 2.0 %烟台: 0.2 %烟台: 0.2 %石家庄: 4.8 %石家庄: 4.8 %福州: 0.4 %福州: 0.4 %秦皇岛: 0.4 %秦皇岛: 0.4 %芒廷维尤: 17.4 %芒廷维尤: 17.4 %芜湖: 0.2 %芜湖: 0.2 %芝加哥: 0.9 %芝加哥: 0.9 %西宁: 25.6 %西宁: 25.6 %西安: 0.6 %西安: 0.6 %西雅图: 0.4 %西雅图: 0.4 %诺沃克: 0.6 %诺沃克: 0.6 %贵阳: 1.1 %贵阳: 1.1 %运城: 1.7 %运城: 1.7 %郑州: 2.6 %郑州: 2.6 %重庆: 1.5 %重庆: 1.5 %银川: 0.2 %银川: 0.2 %长春: 0.2 %长春: 0.2 %长沙: 1.5 %长沙: 1.5 %青岛: 0.9 %青岛: 0.9 %其他Seattle上海临汾兰州北京南京台州合肥哈尔滨哥伦布嘉兴塔什干大庆大连天津宣城山景城广州延安张家口成都扬州日喀则昆明杭州格兰特县武汉池州济南淄博深圳温州湘潭漯河烟台石家庄福州秦皇岛芒廷维尤芜湖芝加哥西宁西安西雅图诺沃克贵阳运城郑州重庆银川长春长沙青岛

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

    Figures(2)  / Tables(6)

    Get Citation
    PDF
    XML
    Article views(359) PDF downloads(25) Cited by(4)
    Proportional views
    Related

    Copyright © 2009 Journal of Southwest Jiaotong University

    Address: RM449 & 451, Administrative Building, Xipu Campus, Southwest Jiaotong University Western Hi-tech Zone, Chengdu, Sichuan 611756, P. R. China

    Tel: 028-66367562Fax: 028-66366552Email: xbz@home.swjtu.edu.cn

    Supported by: Beijing Renhe Information Technology Co. Ltd  support: info@rhhz.net

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return