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Real-time forecast of air pollution episodes in the Venetian region. Part 1: The advection-diffusion model

机译:威尼斯地区空气污染发作的实时预测。第1部分:对流扩散模型

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摘要

The paper describes a mathematical model of pollution dispersion in an airshed. The model is of the advection-diffusion type and is of rather general form, in spite of some simplifying assumptions concerning the meteorological inputs and the diffusion coefficients. The paper suggests a numerical solution algorithm of the advection-diffusion equation, which proves to be accurate, unconditionally stable and computationally efficient. In particular, such an algorithm (which is of the Carlson-Crank-Nicolson type) allows one to use a non-uniform grid. This characteristic leads to a relevant computational saving in the presence of non-uniformly distributed emission sources (pollution from an industrial area). The model and the solution scheme are applied to the Venetian lagoon sulphur dioxide pollution case. The model performance is good in normal pollution situations, but unsatisfactory in the presence of episodes (high concentrations) because of the input inaccuracies (mainly lack of information about actual emission schedulings). This is the reason why the model has been corrected through the "stochastic embedding" described in Part 2.
机译:本文描述了流域中污染物扩散的数学模型。尽管有一些简化的关于气象输入和扩散系数的假设,但该模型是对流扩散型的,具有相当普遍的形式。本文提出了一种对流扩散方程的数值解算法,该算法被证明是准确,无条件稳定和计算效率高的。尤其是,这种算法(属于Carlson-Crank-Nicolson类型)允许使用不均匀的网格。在存在不均匀分布的排放源(来自工业区的污染)的情况下,此特性可节省相关的计算量。该模型和解决方案适用于威尼斯泻湖二氧化硫污染案例。在正常污染情况下,模型的性能良好,但由于输入不准确(主要是缺乏有关实际排放时间表的信息),因此在出现事件(高浓度)的情况下不能令人满意。这就是为什么要通过第2部分中描述的“随机嵌入”对模型进行校正的原因。

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