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Mathematical Model Using Fractional Derivatives Applied to the Dispersion of Pollutants in the Planetary Boundary Layer

机译:使用分数衍生物应用于行星边界层污染物分散的数学模型

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摘要

We present an analytical solution of the advection-diffusion equation of integer and fractional order applied to the dispersion of pollutants in the planetary boundary layer. The solution is obtained using the Laplace decomposition method, and the perturbation is obtained by homotopy, considering the Caputo derivative in the fractional case. To obtain the solution, two types of eddy diffusivities are used: in the integer-order equation, the eddy diffusivity is dependent on the longitudinal distance from the source (Kx and Kx(2)); in the fractional-order equation, the eddy diffusivity is constant. To validate the model, the results are compared with experimental data from the literature (Copenhagen and Prairie Grass). In the Copenhagen experiment, which was conducted under moderately unstable conditions, the best results are obtained under the influence of the memory effect with the eddy diffusivity dependent upon the source distance as Kx (with constant eddy diffusivity in the equation with a fractional derivative). However, in the strongly convective case of the Prairie Grass experiment, the best results are obtained only when the eddy diffusivity depends on the source distance as Kx(2).
机译:我们介绍了整数和分数顺序的平坦扩散方程的分析解决方案,其应用于行星边界层污染物的分散。使用Laplace分解方法获得溶液,并且通过同谐波获得扰动,考虑到分数壳体中的Caputo衍生物。为了获得解决方案,使用两种类型的涡流扩散性:在整数方程中,涡流扩散率取决于源极的纵向距离(Kx和Kx(2));在分数阶方程中,涡流扩散率是恒定的。为了验证该模型,将结果与文献(哥本哈根和草原草原)的实验数据进行比较。在哥本哈根实验中,在中等地不稳定的条件下进行,在记忆效应的影响下获得最佳结果与涡流扩散率取决于源距离为Kx(具有分数衍生物的等式中的恒定涡流扩散率)。然而,在大草原草实验的强烈对比情况下,仅当涡流扩散率取决于源距离为Kx(2)时,才获得最佳结果。

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