Evaluation of the CAR-FMI model against measurements near a major road
Evaluation of the CAR-FMI model against measurements near a major road
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DOI：
10.1016/s1352-2310(00)00337-x
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发表时间：
2001-01-01
影响因子：
5
通讯作者：
Lusa, K
中科院分区：
文献类型：
--
作者：
Kukkonen, J;Härkönen, J;Lusa, K
1995年9月15日至10月30日，在芬兰南部的一条主干道附近进行了实地测量活动。在道路两侧3.5米、6米和10米三个高度的三个位置同时测量了NO、NO2和O-3的浓度。现场还测量了交通密度和相关气象参数。我们将实测的浓度数据与道路网络扩散模型CAR-FMI的预测结果进行了比较，该模型与气象前处理模型MPP-FMI结合使用。与以前文献中给出的相应结果相比，使用各种统计参数测量的测量数据集和预测数据集的一致性很好。对于所有数据(N=587)，NOx、NO2和O-3的测量的一致指数(IA)分别为0.83、0.82和0.89。IA是对预测和测量的浓度时间序列的相关性的统计测量。然而，模拟系统高估了NO2浓度和O-3浓度，偏倚分数Fb=+13%，而O-3浓度Fb=+8%。而对于NO2浓度，Fb=-2%。并从气象参数的角度分析了模型预报与实测值的差异。随着风向接近与道路平行的方向，以及风速最低时，模型的性能明显恶化。在测量过程中，有关大气稳定性、环境温度和太阳辐射量的变化范围不大。因此，正如预期的那样，在这些参数方面没有检测到明显的模型性能相关性。实验数据集可用于其他路侧扩散模型的评价。(C)2001爱思唯尔科学有限公司。保留所有权利。
A field measurement campaign was conducted near a major road in southern Finland from September 15 to October 30, 1995. The concentrations of NO, NO2 and O-3 were measured simultaneously at three locations, at three heights (3.5, 6 and 10 m) on both sides of the road. Traffic densities and relevant meteorological parameters were also measured on-site. We have compared measured concentration data with the predictions of the road network dispersion model CAR-FMI, used in combination with a meteorological pre-processing model MPP-FMI. In comparison with corresponding results presented previously in the literature, the agreement of measured and predicted datasets was good, as measured using various statistical parameters. For all data (N = 587), the index of agreement (IA) was 0.83, 0.82 and 0.89 for the measurements of NOx, NO2 and O-3 respectively. The IA is a statistical measure of the correlation of the predicted and measured time series of concentrations. However, the modelling system overpredicts NO2 concentrations with a fractional bias FB = + 13%, and O-3 concentrations with FB = + 8%. while for NO2 concentrations FB = - 2%. We also analyzed the difference between model predictions and measured data in terms of meteorological parameters. Model performance clearly deteriorated as the wind direction approached a direction parallel to the road, and for the lowest wind speeds. The range of variability concerning atmospheric stability, ambient temperature and the amount of solar radiation was modest during the measurement campaign. As expected, no clear dependencies of model performance were therefore detected in terms of these parameters. The experimental dataset is available for the evaluation of other roadside dispersion models. (C) 2001 Elsevier Science Ltd. All rights reserved.