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基于MFD及实时路况的城市道路机动车排放计算方法 被引量:1

Vehicle emissions calculation for urban roads based on the Macroscopic Fundamental Diagram method and real-time traffic information
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摘要 本文提出了基于交通流宏观基本图(MFD)以及实时路况数据的城市道路机动车排放计算方法,并以环境保护部发布的指导方法为参照,对所述方法进行了对比验证。以2015年3月北京市五环路高速,国道京福路,省道京周路的氮氧化物排放为例,两种方法计算结果平均偏差分别为?27.7%,?12.9%,?12.0%。因此,基于MFD及实时路况数据对交通流量及机动车排放的估算,可以较好地反映道路机动车的运行情况及排放特征,在构建应用于街区尺度模型的排放清单,城市区域道路机动车排放的时空分布特征等方面具有非常好的应用潜力。 Vehicle emissions calculation methods mostly use ownership information or annual road monitoring data as the activity level to calculate air pollutant emissions,but it is hard to reflect either the emissions intensity under different conditions or the spatiotemporal characteristics in various sections based on such approaches.This paper presents a method based on the Macroscopic Fundamental Diagram and real-time traffic data to calculate vehicle emissions,which could reflect the operation conditions and emission characteristics of vehicles.Following the‘Technical Guide for the Compiling of Road Vehicle Air Pollutant Emissions Inventories’,the emissions of three roads with different lane numbers and road grades in Beijing were estimated and verified using this method.Compared with monitoring data,the average deviations of the traffic flow on the Fifth Expressway,Jingfu National Highway,and Jingzhou Provincial Highway were?25.5%,?26.5%,and?13.4%,respectively,and the average deviations of nitrogen oxides emissions were?27.7%,?12.9%,and?12%,respectively.This method showed good application potentials to construct the emissions inventory applied to the block-scale model and analyze the spatiotemporal distribution characteristics of motor vehicle emissions in urban areas.
出处 《Atmospheric and Oceanic Science Letters》 CSCD 2020年第2期89-96,共8页 大气和海洋科学快报(英文版)
基金 This work was supported by the Green Shoots Plan,China[No.GS201826] the National Key Research and Development Program of China[2016YFC0208103] the National Natural Science Foundation of China[No.21607008] Special Project of Application basic Preface of Wuhan Science and Technology Bureau[No.2018060401011310].
关键词 MFD 交通态势 道路类型 车型 交通监测数据 Macroscopic Fundamental Diagram traffic emissions road type
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