Lagrangian stochastic modeling of heavy particle transport in the convective boundary layer

被引：22

作者：

Boehm, MT ^{[1
]}

Aylor, DE ^{[1
]}

机构：

[1] Connecticut Agr Expt Stn, New Haven, CT 06504 USA

来源：

ATMOSPHERIC ENVIRONMENT | 2005年 / 39卷 / 27期

关键词：

atmospheric dispersion modeling; inhomogeneous turbulence; skewed probability distribution function; particle fall velocity; Langevin equation;

D O I：

10.1016/j.atmosenv.2005.04.023

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Lagrangian stochastic (LS) models of dispersion in the convective boundary layer (CBL) are modified here to include the effects of particle fall velocity. This is accomplished by subtracting the fall velocity in the calculation of the vertical displacement, by reducing the decorrelation time-scale, and by making a new modification to the deterministic acceleration term in the vertical velocity increment equation. This new modification has an impact on downwind concentrations predicted by LS models of heavy particle transport in the CBL. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：4841 / 4850

页数：10

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