An iterative Langevin solution for turbulent dispersion in the atmosphere

被引：5

作者：

Carvalho, Jonas C. ^{[1
]}

M. B. de Vilhena, Marco Tullio

Thompson, Mark

机构：

[1] Univ Fed Pelotas, Fac Meteorol, PPGMET, BR-96010900 Pelotas, RS, Brazil

[2] Univ Fed Rio Grande do Sul, Inst Matemat, BR-91509900 Porto Alegre, RS, Brazil

来源：

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS | 2007年 / 206卷 / 01期

关键词：

atmospheric dispersion; Langevin equation; Lagrangian particle model; Picard's iteration method; probability density function; model evaluation;

D O I：

10.1016/j.cam.2006.08.007

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this work we present an alternative hybrid method to solve the Langevin equation and we apply it to simulate air pollution dispersion in inhomogeneous turbulence conditions. The method solves the Langevin equation, in semi-analytical manner, by the method of successive approximations or Picard's Iterative Method. Solutions for Gaussian and non-Gaussian turbulence conditions, considering Gaussian, bi-Gaussian and Gram-Charlier probability density functions are obtained. The models are applied to study the pollutant dispersion in all atmospheric stability and in low-wind speed condition. The proposed approach is evaluated through the comparison with experimental data and results from other different dispersion models. A statistical analysis reveals that the model simulates very well the experimental data and presents results comparable or even better than ones obtained by the other models. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：534 / 548

页数：15

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