检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:程颖[1] 于雷[1,2] 王宏图 郝艳召[1] 宋国华[1,2]
机构地区:[1]北京交通大学交通运输学院,北京100044 [2]德克萨斯南方大学,美国休斯敦tx77004 [3]长春市城乡规划设计研究院,长春130061
出 处:《交通运输系统工程与信息》2011年第3期176-181,共6页Journal of Transportation Systems Engineering and Information Technology
基 金:国家自然科学基金资助项目(50878017);教育部博士点基金(20060004028/T06C10020);北京市科技计划重大资助项目(D08050902920801)
摘 要:为研究符合我国国情的机动车尾气排放宏观模型,本文首先系统地介绍了MOBILE与COPERT模型的算法原理、特点及应用;然后描述了车载尾气检测设备(PEMS)的数据采集及分析方法,并利用车载尾气设备检测的实测数据对两模型进行了参数校正;最后从排放因子和道路等级角度将两模型输出的预测值与实测值进行了对比分析.结果表明,在测试车辆总行驶周期内以及各道路等级下,COPERT模型的NOx、HC和CO排放因子预测值较MOBILE模型的预测结果与实测值更为接近;在测试车辆总行驶周期内,前者误差比后者分别小19.2%、40.8%和22.0%.最后得出结论:在预测中国机动车尾气排放时,COPERT模型较MOBILE模型更为适用.In order to investigate macro-scale vehicle emission models suitable for China,this paper systematic introduces the principles,characteristics and applications of the MOBILE and COPERT models at first,then describes the methods of data collecting and dealing of PEMS equipment,and finally modifies the models' input parameters based on the data collected by using PEMS equipment.The emission factors for different road types from the two models are compared with the measurements from real-world tests.The results show that,during the whole vehicle driving cycle and on all classified roads,the predicted emission factors of NOx,HC and CO from the COPERT Model are closer to the measured values than those from the MOBILE Model.Specifically the errors of the former are 19.2%,40.8% and 22.0% less than the errors of the latter during the whole vehicle driving cycle.In the end,it comes into a conclusion that COPERT model is more suitable for predicting vehicle emission in China than MOBILE model.
关 键 词:交通工程 PEMS数据 排放模型 排放因子 道路等级
分 类 号:U491[交通运输工程—交通运输规划与管理]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.3