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Atmosphere
Special Issues
The Motion of Particles in Turbulence
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The Motion of Particles in Turbulence

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".

Deadline for manuscript submissions: closed (2 October 2020) | Viewed by 8131

Special Issue Editors

Prof. Dr. Bogdan Rosa

E-Mail Website
Guest Editor
Department of COSMO - Centre of Numerical Weather Prediction, Institute of Meteorology and Water Management, Podleśna 61, 01-673 Warsaw, Poland
Interests: multiphase flows; direct numerical simulations; large eddy simulations; droplets; turbulence, clouds; high performance computing; computational fluid dynamics; numerical weather prediction
Dr. Suvash C. Saha

E-Mail Website
Co-Guest Editor
School of Mechanical and Mechatronic Engineering, Faculty of Engineering & Information Technology, University of Technology Sydney, Broadway, NSW 2007, Australia
Interests: solar thermal energy technology; heat transfer in buildings; computational fluid dynamics; boundary layer theory; transport in porous media; magnetic convection; modeling of particle deposition, clearance, and interaction with lung surfactant; numerical modeling of deformation issue of RBCs related to their aging
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We would like to draw your attention to a Special Issue of Atmosphere dedicated to contemporary research on particle transport in turbulent flows.

Interaction of solid particles and liquid droplets with turbulence is a common phenomenon in the atmosphere. The turbulent transport of mineral dust, aerosol or cloud droplets occurs continuously with different intensity and at different scales. A thorough analysis of these multiscale and multiphase flows is an important research task for a better understanding of atmospheric processes.

Apart from scientific aims, detailed knowledge in this field finds a large number of applications. In the area of environmental engineering, knowledge is important for predicting the dispersion of industrial pollution, and thus reducing the risk of environmental disasters. Another well-known growing problem is so-called low emission, the source of which are motorization and coal furnaces. Low emission leads to the release of smog, dust, and toxic gases. Further, the knowledge is central for meteorological applications. These include modeling of desert sandstorms, transport of volcanic ash and sea salt or precipitation formation from cloud droplets and ice crystals (such as rain, snow, hail, and graupel).

In recent years, great effort has been focused on the development of advanced weather forecasting systems. Today, the mesoscale numerical weather prediction (NWP) models provide regular forecasts at horizontal resolutions varying from several kilometers down to 1 kilometer. Development of NWP models is still progressing, and the current efforts are focused on their further improvement mainly by improving parameterizations of cloud microphysical processes and including effects of aerosol transport. A thorough analysis of turbulent transport should allow developing more realistic parameterization of cloud microphysical processes in the NWP systems.

We would like to invite you to contribute articles to this Special Issue by reporting on numerical, observational, and experimental studies that address this topic.

Dr. hab. Bogdan Rosa, prof. IMGW-PIB
Dr. Suvash C. Saha
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Particle transport
  • Turbulence
  • Inertial particles
  • Aerosol dynamics
  • Air pollution
  • Sandstorms
  • Cloud microphysics
  • Sedimentation
  • Eulerian–Lagrangian CFD

Published Papers (3 papers)

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Research

20 pages, 3125 KiB  
Article
Light Scattering in a Turbulent Cloud: Simulations to Explore Cloud-Chamber Experiments
by Corey D. Packard, Michael L. Larsen, Subin Thomas, Will H. Cantrell and Raymond A. Shaw
Atmosphere 2020, 11(8), 837; https://doi.org/10.3390/atmos11080837 - 7 Aug 2020
Cited by 1 | Viewed by 2479
Abstract
Radiative transfer through clouds can be impacted by variations in particle number size distribution, but also in particle spatial distribution. Due to turbulent mixing and inertial effects, spatial correlations often exist, even on scales reaching the cloud droplet separation distance. The resulting clusters [...] Read more.
Radiative transfer through clouds can be impacted by variations in particle number size distribution, but also in particle spatial distribution. Due to turbulent mixing and inertial effects, spatial correlations often exist, even on scales reaching the cloud droplet separation distance. The resulting clusters and voids within the droplet field can lead to deviations from exponential extinction. Prior work has numerically investigated these departures from exponential attenuation in absorptive and scattering media; this work takes a step towards determining the feasibility of detecting departures from exponential behavior due to spatial correlation in turbulent clouds generated in a laboratory setting. Large Eddy Simulation (LES) is used to mimic turbulent mixing clouds generated in a laboratory convection cloud chamber. Light propagation through the resulting polydisperse and spatially correlated particle fields is explored via Monte Carlo ray tracing simulations. The key finding is that both mean radiative flux and standard deviation about the mean differ when correlations exist, suggesting that an experiment using a laboratory convection cloud chamber could be designed to investigate non-exponential behavior. Total forward flux is largely unchanged (due to scattering being highly forward-dominant for the size parameters considered), allowing it to be used for conditional sampling based on optical thickness. Direct and diffuse forward flux means are modified by approximately one standard deviation. Standard deviations of diffuse forward and backward fluxes are strongly enhanced, suggesting that fluctuations in the scattered light are a more sensitive metric to consider. The results also suggest the possibility that measurements of radiative transfer could be used to infer the strength and scales of correlations in a turbulent cloud, indicating entrainment and mixing effects. Full article
(This article belongs to the Special Issue The Motion of Particles in Turbulence)
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14 pages, 3654 KiB  
Article
A Numerical Study of Aeolian Sand Particle Flow Incorporating Granular Pseudofluid Optimization and Large Eddy Simulation
by Yang Zhang, Changsong Wu, Xiaosi Zhou, Yuanming Hu, Yuan Wang and Bin Yang
Atmosphere 2020, 11(5), 448; https://doi.org/10.3390/atmos11050448 - 29 Apr 2020
Cited by 2 | Viewed by 2565
Abstract
A numerical investigation of aeolian sand particle flow in atmospheric boundary layer is performed with a Eulerian–Eulerian granular pseudofluid model. In this model, the air turbulence is modelled with a large eddy simulation, and a kinetic–frictional constitutive model incorporating frictional stress and the [...] Read more.
A numerical investigation of aeolian sand particle flow in atmospheric boundary layer is performed with a Eulerian–Eulerian granular pseudofluid model. In this model, the air turbulence is modelled with a large eddy simulation, and a kinetic–frictional constitutive model incorporating frictional stress and the kinetic theory of granular flow is applied to describe the interparticle movement. The simulated profiles of streamwise sand velocity and sand mass flux agree well with the reported experiments. The quantitative discrepancy between them occurs near the sand bed surface, which is due to the difference in sand sample, but also highlights the potential of the present model in addressing near-surface mass transport. The simulated profiles of turbulent root mean square (RMS) particle velocity suggest that the interparticle collision mainly account for the fluctuation of sand particle movement. Full article
(This article belongs to the Special Issue The Motion of Particles in Turbulence)
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16 pages, 2585 KiB  
Article
Numerical Simulation of Haze-Fog Particle Dispersion in the Typical Urban Community by Using Discrete Phase Model
by Hongbo Zhu, Jie Su, Xuesen Wei, Zhaolong Han, Dai Zhou, Xun Wang and Yan Bao
Atmosphere 2020, 11(4), 381; https://doi.org/10.3390/atmos11040381 - 14 Apr 2020
Cited by 5 | Viewed by 2513
Abstract
The haze-fog particle dispersion in urban communities will cause serious health and environmental problems, which has aroused society attention. The aim of the present investigation is to reveal the underlying mechanisms of haze-fog particle dispersion via Computational Fluid Dynamics (CFD) method, and then [...] Read more.
The haze-fog particle dispersion in urban communities will cause serious health and environmental problems, which has aroused society attention. The aim of the present investigation is to reveal the underlying mechanisms of haze-fog particle dispersion via Computational Fluid Dynamics (CFD) method, and then to provide a groundwork for the optimal spatial arrangement of urban architecture. The Delayed Detached-eddy Simulation turbulence model (DDES) and Discrete Phase Model (DPM) are utilized to investigate the wind flow distribution and the particle dispersion around the building group. The numerical results show that the particle dispersion is dominated by the incoming wind flow, the layout of architectural space and the type and distribution of vortex. The ‘single body’ wake pattern and the vortex impingement wake pattern are identified in the wind flow field, which have different effects on the distribution of haze-fog particle. The cavity formed by the layout of the building group induces primary vortex and secondary vortex, which will make it more difficult for the particles entering the square cavity to flow out. Moreover, the concentration of the particle in the rear of the buildings is relatively low due the effect of attached vortices. Full article
(This article belongs to the Special Issue The Motion of Particles in Turbulence)
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