A model was developed to estimate the traffic pollutant concentrations along roadside in one step with artificial neural network technique.
利用人工神经网络技术设计了一段式计算路侧道路交通污染物浓度的模型。
Since a chief source of pollutants is automobile emissions, it might be expected that pollutant levels could be correlated with automobile traffic, at least to some extent.
因为污染物的主要来源是汽车的排出物,所以可以料想污染物的浓度至少在某种程度上是与汽车运输有关。
Urban traffic is a dynamic system, whose pollutant emission always changes.
城市交通是一个动态系统,污染物排放量始终处于变化之中。
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