Stochastic Lagrangian Simulation of Particle Deposition in Turbulent Channel Flows

Lagrangian stochastic models (LSM) are widely used to model the dispersion of sea spray droplets injected from the water surface into the marine atmospheric boundary layer (MABL) and for evaluation of the spray impact on the exchange fluxes between the atmosphere and the ocean. While moving through the MABL the droplets pass through the region of high gradients of air velocity, temperature and humidity occurring in the vicinity of the air-water interface. In this case, the applicability of LSMs constructed under the assumption of weakly inhomogeneous flows is questionable. In this work, we develop a Lagrangian stochastic model taking into account the strongly inhomogeneous structure of the airflow in MABL and, in particular, the anisotropy of turbulence dissipation rate. The model constants and the diffusion matrix coefficients are calibrated by comparison of the LSM prediction for the profiles of droplet concentration and the exchange fluxes of sensible and latent heat against the results of direct numerical simulation (DNS) of turbulent, droplet-laden airflow over a waved water surface. Keywords Lagrangian stochastic model • Marine boundary layer • Sea spray droplets • Direct numerical simulation

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Nonlocal Turbophoresis of Particles in the Logarithmic Layer of Wall Turbulence

Sikovsky

¹

2019

Jetp Lett.

0

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Simulation of inertial droplet dispersion and the spray mediated fluxes in the atmospheric boundary layer above waved water surface: a Lagrangian stochastic model versus direct numerical simulation

Troitskaya¹,

Druzhinin²,

Gladskikh³

et al. 2022

Preprint

1

0

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Lagrangian stochastic models (LSM) are widely used to model the dispersion of sea spray droplets injected from the water surface into the marine atmospheric boundary layer (MABL) and for evaluation of the spray impact on the exchange fluxes between the atmosphere and the ocean. While moving through the MABL the droplets pass through the region of high gradients of air velocity, temperature and humidity occurring in the vicinity of the air-water interface. In this case, the applicability of LSMs constructed under the assumption of weakly inhomogeneous flows is questionable. In this work, we develop a Lagrangian stochastic model taking into account the strongly inhomogeneous structure of the airflow in MABL and, in particular, the anisotropy of turbulence dissipation rate. The model constants and the diffusion matrix coefficients are calibrated by comparison of the LSM prediction for the profiles of droplet concentration and the exchange fluxes of sensible and latent heat against the results of direct numerical simulation (DNS) of turbulent, droplet-laden airflow over a waved water surface.

show abstract

Stochastic Lagrangian Simulation of Particle Deposition in Turbulent Channel Flows

Cited by 3 publications

References 39 publications

Simulation of Inertial Droplet Dispersion and the Spray Mediated Fluxes in the Atmospheric Boundary Layer Above Waved Water Surface: A Lagrangian Stochastic Model Versus Direct Numerical Simulation

Simulation of Inertial Droplet Dispersion and the Spray Mediated Fluxes in the Atmospheric Boundary Layer Above Waved Water Surface: A Lagrangian Stochastic Model Versus Direct Numerical Simulation

Nonlocal Turbophoresis of Particles in the Logarithmic Layer of Wall Turbulence

Simulation of inertial droplet dispersion and the spray mediated fluxes in the atmospheric boundary layer above waved water surface: a Lagrangian stochastic model versus direct numerical simulation

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