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Evaluation of two street canyon air quality models using data from European cities

机译:使用欧洲城市数据评估两条街峡谷空气质量模型

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This paper presents a sensitivity analysis of the Operational Street Pollution Model (OSPM) and an evaluation of OSPM and the Assessing the Environment Of Locations In Urban Streets (AEOLIUS) model. Both models calculate airborne concentrations of exhaust gases emitted by motor vehicles within street canyons. They perform best when the street canyon aspect ratio is 1.0. OSPM and AEOLIUS have been evaluated using data collected over a two-year period (1994 95) in Jagtvej, Copenhagen, Denmark. Further evaluation of the models was carried out using data collected in Goetting Strasse, Hannover (1994) and Schildhorn Strasse, Berlin (1995), both in Germany. In all cases, model runs were carried out for carbon monoxide (CO). In the case of OSPM, two sets of newly proposed emission factors were used for the street canyons in Germany. In the calculation of these factors, the urban driving patterns and variations in the composition of the vehicle fleet according to the engine capacity were assumed as the most appropriate for the cases considered. Furthermore, parameters such as engine operating temperature and the use of catalytic converter were taken into account. Scatter plots of modelled against measured CO concentration yielded an average regression coefficient of 0.90 for the street canyons considered. With the newly proposed emission factors for Germany a lower regression coefficient was obtained. From similar scatter plots, the AEOLIUS model gave a regression coefficient of 0.86 for Jagtvej in 1994 and 0.78 for 1995. For Gottinger and Schildhorn Strasse, the regression coefficient obtained was 0.81.
机译:本文介绍了对运营街污染模型(OSPM)的敏感性分析,以及对OSPM的评估以及评估城市街道(Aeolius)模型的地点环境。两种型号计算出街道峡谷内机动车发出的空气汇编的废气。当街道峡谷纵横比为1.0时,它们表现最佳。通过在丹麦·哥本哈根州杰格汶州杰格维大学(1994 95)中收集的数据进行了评估了OSPM和Aeolius。使用Goetting Strasse,Hannover(1994)和Schildhorn Strasse,柏林(1995),柏林(1995)都在德国的数据进行进一步评估模型。在所有情况下,为一氧化碳(CO)进行了模型运行。在OSPM的情况下,两组新拟议的排放因子用于德国的街道峡谷。在计算这些因素时,假设根据发动机容量的车队组成的城市驾驶模式和车辆组合物的变化是最合适的。此外,考虑了发动机工作温度和催化转化器的参数。针对测量Co浓度的模型的散点图产生了街道峡谷的平均回归系数为0.90。随着德国的新提出排放因子,获得了较低的回归系数。从类似的散点图来看,1994年的jagtvej为jagtvej提供了0.86的回归系数,1995年为0.78.对于Gottinger和Schildhorn Strasse,所获得的回归系数为0.81。

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