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Performance evaluation of the ADMS-Urban model in predicting PM_(10) concentrations at the roadside in Chennai, India and Newcastle, UK

机译:ADMS-Urban模型在预测印度金奈和英国纽卡斯尔路边PM_(10)浓度中的性能评估

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Recent economic development in many Asian and European countries has shown an increase in vehicle kilometre travel (VKT) in many cities, which has resulted in an increase in the vehicular pollution levels. In particular, particulate matter (PM) concentrations emitted from vehicles are at alarming levels in most of the cities of the world. Therefore, there is growing interest in the formulation of local level air quality management system to tackle vehicular emissions. Many mathematical models have been widely used as tools in urban air quality management. In the present paper, an attempt has been made to evaluate the performance of the ADMS Urban model in predicting roadside PM concentrations at two cities namely Chennai, India and Newcastle, UK during critical winter period of the year 2009. The statistical parameters such as Index of Agreement (IA), Fractional Bias (FB), Normalized Mean Square Error (NMSE), Geometric Mean Bias (MG) and Geometric Mean Variance (VG) have been used to evaluate the ADMS model performance. Results indicated that the roadside PM concentrations predicted by the ADMS model are reasonably accurate for Newcastle than at the roadside in Chennai.
机译:亚洲和欧洲许多国家/地区最近的经济发展表明,许多城市的车辆行驶公里数(VKT)有所增加,这导致了车辆污染水平的增加。特别是,在世界上大多数城市中,车辆排放的颗粒物(PM)浓度处于令人震惊的水平。因此,对于制定解决汽车排放的地方空气质量管理体系的兴趣日益浓厚。许多数学模型已被广泛用作城市空气质量管理的工具。本文尝试评估ADMS Urban模型在预测2009年关键冬季期间两个城市(印度钦奈和英国纽卡斯尔)的路边PM浓度方面的性能。协议一致性(IA),分数偏差(FB),归一化均方误差(NMSE),几何平均值偏差(MG)和几何平均值方差(VG)已用于评估ADMS模型的性能。结果表明,由ADMS模型预测的路边PM浓度对于纽卡斯尔比在钦奈的路边相当准确。

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