CFD Modelling of Air Pollutant Dispersion and Inverse Source Reconstruction

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".

Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 3496

Special Issue Editors

Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, F-91198 Gif-sur-Yvette, France
Interests: air pollution dispersion modelling; CFD modeling, inverse modeling and data assimilation; boundary layer meteorology; air quality analysis; receptor modeling; applied mathematics
Special Issues, Collections and Topics in MDPI journals
Laboratory of Heat Transfer and Environmental Engineering
Interests: microscale modeling of environmental flows and pollutant dispersion in urban and industrial environments
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Accurate simulation of the transport and dispersion of air pollutants is needed for real-time hazard predictions, air quality analysis, defining guidelines for siting the industrial zones, emergency response programmes, impact assessment and management studies in cases of the releases from the industrial regions, accidental or intentional hazardous episodes, etc. The problem of inverse source reconstruction is also of great importance for characterization of the unknown pollutant sources in atmospheric releases of the toxic agents which is crucial for emergency preparedness and mitigation process. These problems of the forward atmospheric dispersion and inverse source estimation become more challenging in urban and industrials environments, where models are required to include the effects of dominant urban flows processes due to buildings and other structures. The emergence of the fast computing resources and methods led to the development and applications of the computational fluid dynamics (CFD) models for accurate numerical simulations of the complex urban flow dynamics coupled with the equations describing the transport of atmospheric tracers. Various CFD modeling approaches, e.g. direct numerical simulation (DNS), large-eddy simulation (LES), steady RANS, unsteady RANS (URANS), and hybrid URANS/LES, etc. have been used for basic research on urban flow and atmospheric dispersion. Furthermore, inverse methods or data assimilation processes have been coupled with various CFD modeling approaches for accurate estimation of unknown source parameters in complex urban and industrial environments.

Contributions are being sought to examines carefully some of the most common questions confronting researchers and practitioners in the CFD modeling of air pollutant dispersion and unknown atmospheric pollutant source reconstruction in complex built environments. The scope of this Special Issue reflects and summarizes some recent developments relevant to the air pollutant dispersion and inverse source reconstruction using CFD modeling approaches. The contributing papers are those discussing the following subjects:

  • Original or review papers on the issue of air pollutant dispersion or inverse source reconstruction using CFD modeling approaches
  • Advancement of the CFD models, evaluation of the numerical accuracy, new methods and parameterizations for CFD modeling of the air pollutant dispersion
  • Turbulence modeling in CFD for atmospheric dispersion
  • Inversion methods and data assimilation techniques for atmospheric source reconstruction in complex urban environments
  • Modeling the atmospheric boundary layer (ABL) using CFD models and atmospheric dispersion in various atmospheric stability
  • Validation of the CFD modeling approaches with experimental observations for air pollutant dispersion and inverse source reconstruction
  • Comparison of different CFD modeling approaches for atmospheric dispersion, uncertainties analysis of the CFD approaches in the general framework, in model physics, initial and boundary conditions, input data, and other components of the CFD models and tools to minimize these uncertainties

Advantages and limitations of the CFD modeling for air pollutant dispersion and inverse source reconstruction in emergency responses

Dr. Pramod Kumar
Dr. George Efthimiou
Guest Editors

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Keywords

  • CFD modeling
  • Air pollution modeling
  • Atmospheric dispersion
  • Inverse modeling and data assimilation
  • Urban dispersion
  • Model validation
  • Atmospheric boundary layer
  • Model parameterizations
  • Diffusion experiments

Published Papers (1 paper)

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Research

18 pages, 2193 KiB  
Article
Implicit Definition of Flow Patterns in Street Canyons—Recirculation Zone—Using Exploratory Quantitative and Qualitative Methods
Atmosphere 2019, 10(12), 794; https://doi.org/10.3390/atmos10120794 - 08 Dec 2019
Cited by 5 | Viewed by 2587
Abstract
Air pollution is a major health hazard for the population that increasingly lives in cities. Street-scale Air Quality Models (AQMs) are a cheap and efficient way to study air pollution and possibly provide solutions. Having to include all the complex phenomena of wind [...] Read more.
Air pollution is a major health hazard for the population that increasingly lives in cities. Street-scale Air Quality Models (AQMs) are a cheap and efficient way to study air pollution and possibly provide solutions. Having to include all the complex phenomena of wind flow between buildings, AQMs employ several parameterisations, one of which is the recirculation zone. Goal of this study is to derive an implicit or explicit definition for the recirculation zone from the flow in street canyons using computational fluid dynamics (CFD). Therefore, a CFD-Large Eddy Simulation model was employed to investigate street canyons with height to width ratio from 1 to 0.20 under perpendicular wind direction. The developed dataset was analyzed with traditional methods (vortex visualization criteria and pollutant dispersion fields), as well as clustering methods (machine learning). Combining the above analyses, it was possible to extract qualitative features that agree well with literature but most importantly to develop quantitative expressions that describe their topology. The extracted features’ topology depends strongly on the street canyon dimensions and not surprisingly is independent of the wind velocity. The developed expressions describe areas with common flow characteristics inside the canyon and thus they can be characterised as an implicit definition for the recirculation zone. Furthermore, the presented methodology can be further applied to cover more parameters such us oblique wind direction and heated-facades and more methods for data analysis. Full article
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