The periods of time-varying turbulence in the atmospheric boundary layer, i.e.\ the morning and evening transitions, are often overlooked or highly idealised by dispersion models. These transitions make up a significant portion of the diurnal cycle and are known to affect the spread of pollution due to the properties of turbulence in the residual and stable layers, resulting in phenomena such as lofting, trapping, and fumigation.\\ Two main simulation techniques are presented for the purpose of modelling the dispersion of passive tracers in both convective and evening transitional boundary layers: Lagrangian stochastic (LS) modelling for 1D, inhomogeneous, non-stationary turbulence; and large-eddy simulation (LES) with a particle model tra...
The rate of dispersion of atmospheric pollutants and the volume of atmosphere available for the dilu...
The turbulence field obtained using a large-eddy simulation model is used to simulate particle dispe...
Large-eddy simulation (LES) of the evolving stable boundary layer (SBL) provides unique data sets fo...
The periods of time-varying turbulence in the atmospheric boundary layer, i.e.\ the morning and even...
The stochastic trajectory-based (Lagrangian) approach has gained increasing importance and sophistic...
The development and validation of a new stochastic model for predicting the dispersion of a passive ...
The problem of shear dispersion in the atmospheric boundary layer (ABL) is revisited. The aim is to ...
thesisThe diurnal evolution of the atmospheric boundary layer (ABL) plays an important role in weath...
Lagrangian stochastic models for simulation of tracer-particle trajectories in turbulent flows can b...
Also issued as author's dissertation (Ph.D.) -- Colorado State University, 1988.Includes bibliograph...
Particle transport in atmospheric boundary layer turbulence is simulated using Lagrangian Stochastic...
Considerable interest has developed in recent years to understand transport phenomena in thermally s...
grantor: University of TorontoAtmospheric and turbulence modelling, boundary layer paramet...
The Lagrangian stochastic probability density function (PDF) model developed by Cassiani et al. [Atm...
Turbulent flows are widely observed in nature and man-made systems. The understanding of turbulence ...
The rate of dispersion of atmospheric pollutants and the volume of atmosphere available for the dilu...
The turbulence field obtained using a large-eddy simulation model is used to simulate particle dispe...
Large-eddy simulation (LES) of the evolving stable boundary layer (SBL) provides unique data sets fo...
The periods of time-varying turbulence in the atmospheric boundary layer, i.e.\ the morning and even...
The stochastic trajectory-based (Lagrangian) approach has gained increasing importance and sophistic...
The development and validation of a new stochastic model for predicting the dispersion of a passive ...
The problem of shear dispersion in the atmospheric boundary layer (ABL) is revisited. The aim is to ...
thesisThe diurnal evolution of the atmospheric boundary layer (ABL) plays an important role in weath...
Lagrangian stochastic models for simulation of tracer-particle trajectories in turbulent flows can b...
Also issued as author's dissertation (Ph.D.) -- Colorado State University, 1988.Includes bibliograph...
Particle transport in atmospheric boundary layer turbulence is simulated using Lagrangian Stochastic...
Considerable interest has developed in recent years to understand transport phenomena in thermally s...
grantor: University of TorontoAtmospheric and turbulence modelling, boundary layer paramet...
The Lagrangian stochastic probability density function (PDF) model developed by Cassiani et al. [Atm...
Turbulent flows are widely observed in nature and man-made systems. The understanding of turbulence ...
The rate of dispersion of atmospheric pollutants and the volume of atmosphere available for the dilu...
The turbulence field obtained using a large-eddy simulation model is used to simulate particle dispe...
Large-eddy simulation (LES) of the evolving stable boundary layer (SBL) provides unique data sets fo...