International audienceA Lagrangian Stochastic Model for the two-particles dispersion, aiming at simulating the pollutant concentration fluctuations, is presented. Three model versions (1-D, 2-D and 3-D) are tested. Firstly the ability of the model to reproduce the two-particle statistics in a homogeneous isotropic turbulence is discussed, comparing the model results with theoretical predictions in terms of the probability density function (PDF) of the particles separation and its statistics. Then, the mean concentration and its fluctuations are considered and the results presented. The influence of the PDF of the particle separation on the concentration fluctuations is shown and discussed. We found that the separation PDF in the inertial su...
A Lagrangian stochastic (LS) probability density function (PDF) model has been developed to study st...
Several reaction schemes, based on the conserved scalar theory, are implemented within a stochastic ...
Particle dispersion models describe how atmospheric pollutants disperse through turbulence while bei...
International audienceA Lagrangian Stochastic Model for the two-particles dispersion, aiming at simu...
We review the efforts made by the scientific community in more than seventy years to elucidate the b...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.An...
A computationally efficient model is introduced to account for the sub-grid scale velocities of trac...
A three-dimensional Lagrangian stochastic model to evaluate pollutant dispersion in terms of both me...
The properties of a stochastic model with non-Gaussian random noise describing turbulent dispersion ...
In this thesis we give an overview of recent stochastic Lagrangian models and present a new particle...
Abstract: A stationary three-dimensional Lagrangian stochastic numerical model has been developed by...
This study presents a brief overview of the main features, theoretical formulations and validation t...
A Lagrangian particle model was applied to estimating emission strength and air pollutant concentrat...
This study presents a brief overview of the main features, theoretical formulations and validation t...
Stochastic Lagrangian models for the relative dispersion of two particles in a stationary, spatially...
A Lagrangian stochastic (LS) probability density function (PDF) model has been developed to study st...
Several reaction schemes, based on the conserved scalar theory, are implemented within a stochastic ...
Particle dispersion models describe how atmospheric pollutants disperse through turbulence while bei...
International audienceA Lagrangian Stochastic Model for the two-particles dispersion, aiming at simu...
We review the efforts made by the scientific community in more than seventy years to elucidate the b...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.An...
A computationally efficient model is introduced to account for the sub-grid scale velocities of trac...
A three-dimensional Lagrangian stochastic model to evaluate pollutant dispersion in terms of both me...
The properties of a stochastic model with non-Gaussian random noise describing turbulent dispersion ...
In this thesis we give an overview of recent stochastic Lagrangian models and present a new particle...
Abstract: A stationary three-dimensional Lagrangian stochastic numerical model has been developed by...
This study presents a brief overview of the main features, theoretical formulations and validation t...
A Lagrangian particle model was applied to estimating emission strength and air pollutant concentrat...
This study presents a brief overview of the main features, theoretical formulations and validation t...
Stochastic Lagrangian models for the relative dispersion of two particles in a stationary, spatially...
A Lagrangian stochastic (LS) probability density function (PDF) model has been developed to study st...
Several reaction schemes, based on the conserved scalar theory, are implemented within a stochastic ...
Particle dispersion models describe how atmospheric pollutants disperse through turbulence while bei...