道路交通排放宏观模型的发展将走向何方?

Mohammad Maghrour Zefreh, Á. Török
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引用次数: 1

摘要

近年来,为了更好地估计道路交通排放,道路运输模型得到了发展,其时间和空间分辨率越来越高,可作为空气质量管理的工具,以改善生活。道路运输相关的排放模型越来越复杂。本文主要研究的问题是模型的改进对结果的影响。作者将三种不同的宏观排放建模系统与匈牙利2010年的数据集进行了比较。必须注意的是,更精确的模型有更大的数据需求。首先运行基于消耗的模型,需要输入31个数据;其次运行基于欧洲标准的模型,需要输入261个数据;最后运行速度依赖模型,需要输入1060个数据。结果表明,较复杂的模型与较简单的模型相比,会产生显著的排放差异。这种差异可能是由匈牙利的老车队或估计误差的差异造成的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Where does the development of road transport emission macro modelling lead?
In recent years, road transport models have developed for better estimation of road traffic emissions with higher and higher temporal and spatial resolution, to be used as a tool in air quality management for the better living. Road transport related emission models are becoming more and more complex. In this paper, the key research question is how the improvement in modelling influences the results? The authors compared three different macro emission modelling system with the dataset of Hungary for 2010. One must notice that more precise model has larger data requirement. Firstly, the consumption-based model was run with 31 needed input data secondly, EURO standard based model was run with 261 needed data and finally, speed dependent model was run with 1060 needed input data. According to the results, it can be stated that a more complex model could cause significant differences in emission compared to simpler one. The differences can be caused by old Hungarian vehicle fleet or differences in estimation error.
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