路网机动车排放因子测算与不确定性分析

doi:10.11918/j.issn.0367-6234.2017.03.021

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路网机动车排放因子测算与不确定性分析
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                        10.11918/j.issn.0367-6234.2017.03.021
                    
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作者单位:(1.城市交通复杂系统理论与技术教育部重点实验室(北京交通大学),北京100044; 2.北京市交通行业节能减排中心,北京 100053;3.北京交通发展研究中心,北京 100053;4.华录智达科技有限公司,北京 100043)
作者简介:黎明(1989—),男,博士研究生； 宋国华(1979—),男,副教授,博士生导师
通讯作者:宋国华,ghsong@bjtu.edu.cn
中图分类号:U491.2
基金项目:国家自然科学基金(3,4)； 中央高校基本科研业务费专项资金(T14JB00180)

Development of emission factor for road network and uncertainty analysis

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(1.MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology (Beijing Jiaotong University), Beijing 100044, China; 2.Beijing Transport Energy and Environmental Center, Beijing 100053, China; 3.Beijing Transportation Research Center, Beijing 100053, China; 4.Hualu Zhida Technology Co., Ltd., Beijing 100043, China)

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摘要:

为分析交通指数和排放因子的测算机理，选择以速度为衔接点，首先研究交通指数下的速度分布测算方法和速度对排放因子的修正关系；其次，研究交通指数下的路网机动车排放因子测算方法，并分析排放因子的不确定性量化方法；然后，以北京为例，测算交通指数下的路网交通排放因子.结果表明:当路网交通指数位于2~8之间时，CO₂排放因子随交通指数的增长而平稳增加，但交通指数在 (0.6, 2]和 (8, 9.4]时，CO₂排放因子随交通指数的增长而快速增加.最后，统计了不同聚类方法下的排放因子偏差率，发现按工作日节假日和上下午分类后，交通指数下的CO₂、CO、HC、NOx排放因子平均偏差率分别从3.48%、6.67%、6.08%、6.68%下降至2.65%、5.35%、5.20%、5.36%.

Abstract:

To analyze the influencing mechanism between traffic performance index (TPI) and emission factors, the speed distribution was taken as the connection variable.Firstly, a method for calculating speed distributions on different TPIs was established, and the relationship between the speed and emission factors was analyzed.Secondly, a method to calculate emission factors on road network was developed based on different TPIs, and a quantification method was analyzed to estimate the uncertainties.Thirdly, traffic emission factors on different TPIs were calculated for Beijing city.Results show that when the TPI is between 2 and 8, CO₂ emission factor increases monotonously with the increase of TPI.However, when TPI is between 0.6 and 2 or between 8 and 9.4, CO₂ emission factor increases rapidly.Finally, the average deviation rates of emission factors under different clustering results were calculated.It was concluded that by classifying the data from 4 aspects, workday, weekend, AM, and PM, the deviation rate of emission factors CO₂, CO, HC, NOx decreased from 3.48%, 6.67%, 6.08%, 6.68% to 2.65%, 5.35%, 5.20%, 5.36% respectively.

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黎明,宋国华,靳秋思,程颖,何巍楠,翟雅峤,谢丽珠.路网机动车排放因子测算与不确定性分析[J].哈尔滨工业大学学报,2017,49(3):132. DOI:10.11918/j. issn.0367-6234.2017.03.021

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收稿日期:2015-09-25
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在线发布日期: 2017-04-13
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