隧道内不同行驶工况下CO浓度分布及预测模式研究  

Research of CO Concentration Distributions and Prediction Model in Different Driving Cycles Inside the Tunnel

作　　者：戚月昆 林楚娟[1,2] 庄毅璇[2] 

机构地区：[1]重庆市环境保护工程设计研究院有限公司,重庆401100 [2]深圳市深港产学研环保工程技术股份有限公司,深圳518055

出　　处：《四川环境》2013年第5期22-26,共5页Sichuan Environment

摘　　要：本文通过现场实测,获取了在不同行驶工况下深圳市横龙山隧道内CO浓度分布情况。结果表明,在堵车、缓行及正常行驶3种情况下,隧道入口、隧道中及隧道出口的CO浓度均逐渐升高,堵车时隧道内CO浓度最高,正常行驶时的浓度最低。采用环保部机动车排污监控中心关于在用车综合排放因子的研究成果中第3阶段汽车尾气排放标准计算隧道内CO浓度,结果与实测数据相符,CO在纵向全射流通风隧道内扩散规律符合一维纵向空气质量扩散方程。Through the site observation and monitoring, the CO concentration distributions in different driving conditions inside Fulong road cross mountain tunnel were obtained. The result indicated that the CO concentrations in the entrance, middle and the exit positions of the tunnel increased gradually under the three conditions of traffic jam, slow moving trffic and normal driving. When traffic jams, the CO concentration is the highest inside the tunnel and is the lowest during normal driving. Using the vehicle exhaust emission standards in the third stage of the ear emission factors research achievements made by Vehicle Emission Control Center of Ministry of Environmental Protection to calculate the concentration of CO in the tunnel, the results are in consistent with the measured data, and the diffusion rule of CO in longitudinal injection ventilation tunnel is in accordance with one-dimensional longitudinal air mass diffusion equation.

关 键 词：公路隧道 行驶工况 CO浓度分布 预测模式 

分 类 号：X8[环境科学与工程—环境工程]