Temperature fields and air pollution build-up over the Athens basin

D.A. Tryfonopoulos , G.C. Bergeles
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引用次数: 6

Abstract

The wind and temperature fields, and the associated vehicle-induced atmospheric pollution build-up over the Athens Basin have been simulated using a time-dependent, three-dimensional numerical model. The model utilizes the continuity equation to produce a non-divergent wind field adopting a mass consistent methodology; then the heat conseration equation is solved, while a two-equation (k-ϵ) turbulence model is used for obtaining the turbulent exchange coefficients. Finally the concentration equation is numerically solved in transformed space and the passive contaminants distribution over the Athens complex topography is obtained. The model has been used to predict the temperature distribution and the surface concentrations of pollutants over the Athens area for South wind and a certain traffic scenario during a 24-hour cycle. The obtained results reproduced successfully the diurnal variation of the atmospheric stability conditions; the variation of the resulting surface temperature agreed well with available measurements, while the results for the atmospheric pollution showed that the banning of the car traffic in the city-center is effective only for certain time periods within the day, and that in the early afternoon hours the traffic could be allowed without any harmful effects to the air quality of the city as at time this unstable atmospheric conditions prevail. Also the use of the model revealed that the daily variation of the CO concentration can be mainly attributed to the atmospheric stability changes during the day rather than to traffic volume variations.

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温度场和空气污染积聚在雅典盆地上空
使用时间相关的三维数值模型模拟了雅典盆地上空的风场和温度场以及相关的车辆引起的大气污染。该模型利用连续性方程,采用质量一致的方法产生非发散风场;然后求解了热守恒方程,并使用二方程(k-ε)湍流模型来获得湍流交换系数。最后,在变换空间中对浓度方程进行了数值求解,得到了雅典复杂地形上被动污染物的分布。该模型已用于预测24小时周期内南风和特定交通情景下雅典地区的温度分布和污染物表面浓度。所获得的结果成功地再现了大气稳定条件的日变化;由此产生的表面温度的变化与现有的测量结果非常一致,而大气污染的结果表明,市中心禁止汽车通行仅在一天中的特定时间段内有效,在下午早些时候,交通可以被允许,而不会对城市的空气质量产生任何有害影响,因为当时这种不稳定的大气条件普遍存在。此外,该模型的使用表明,CO浓度的日变化主要归因于白天大气稳定性的变化,而不是交通量的变化。
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