Simulating Flow and Hazardous Gas Dispersion by Using WRF–CFD Coupled Model under Different Atmospheric Stability Conditions

Zhou, Hongxuan; Song, Weiwei; Xiao, Kaitao

doi:10.3390/atmos13071072

Cited by 3 publications

(1 citation statement)

References 28 publications

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“…For example, Aydosov [5] developed a mathematical model for dispersion and transport of pollutants from an instantaneous point source in the atmosphere with partial absorption of surface impurities using a transport equation with a source term. To study the diffusion model of an accidental release of harmful substances under various conditions of atmospheric stability, the authors of [6] used the Reynolds-averaged Navier-Stokes model. The authors of [7] developed a mathematical model of mesoscale atmospheric processes, the transport and transformation of pollutants, and also numerically implemented the finite difference method assuming that the domain is rectangular.…”

Section: Introductionmentioning

confidence: 99%

A Combined Approach for Predicting the Distribution of Harmful Substances in the Atmosphere Based on Parameter Estimation and Machine Learning Algorithms

Madiyarov,

Temirbekov,

Alimbekova

et al. 2023

Computation

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This paper proposes a new approach to predicting the distribution of harmful substances in the atmosphere based on the combined use of the parameter estimation technique and machine learning algorithms. The essence of the proposed approach is based on the assumption that the concentration values predicted by machine learning algorithms at observation points can be used to refine the pollutant concentration field when solving a differential equation of the convection-diffusion-reaction type. This approach reduces to minimizing an objective functional on some admissible set by choosing the atmospheric turbulence coefficient. We consider two atmospheric turbulence models and restore its unknown parameters by using the limited-memory Broyden–Fletcher–Goldfarb–Shanno algorithm. Three ensemble machine learning algorithms are analyzed for the prediction of concentration values at observation points, and comparison of the predicted values with the measurement results is presented. The proposed approach has been tested on an example of two cities in the Republic of Kazakhstan. In addition, due to the lack of data on pollution sources and their intensities, an approach for identifying this information is presented.

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Section: Introductionmentioning

confidence: 99%

A Combined Approach for Predicting the Distribution of Harmful Substances in the Atmosphere Based on Parameter Estimation and Machine Learning Algorithms

Madiyarov,

Temirbekov,

Alimbekova

et al. 2023

Computation

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Modeling the Process of Pollutant Spread in the Atmosphere with Account for the Capture of Particles by Vegetation Elements

Ravshanov,

Nazarov,

Boborakhimov

2024

Lobachevskii J Math

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Estimation of the Hazardous Chemical Leakage Scale Inside Buildings Using CFD

Kim,

Song

2024

Buildings

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Increased industrialization and aging infrastructure have resulted in leaks of hazardous chemicals, such as CO. Leak modeling is crucial to developing emergency response strategies. Therefore, we simulated the time to criticality (TTC), which is the time to reach the threshold limit for occupational exposure, of a CO leak. The basis of the study is a fire dynamics simulator, a computational fluid dynamics model that was used to investigate the movement of CO in various scenarios, including using different building layouts and areas, temperatures, and leak diameters. Multiple regression analysis was performed to obtain regression equations for the TTC as a function of the independent variables. Ultimately, we found that the type of dispersion varies with respect to the temperature-dependent density of CO, and, among the independent variables, the leak diameter had the strongest effect on the TTC. The regression equations with logarithmic conversion were validated and found to have higher accuracy than those without logarithmic conversion. The findings provide useful information for developing emergency response plans regarding leak size in the case of hazardous chemical leakage. However, empirical studies of different gas types and leakage scenarios are required.

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Simulating Flow and Hazardous Gas Dispersion by Using WRF–CFD Coupled Model under Different Atmospheric Stability Conditions

Cited by 3 publications

References 28 publications

A Combined Approach for Predicting the Distribution of Harmful Substances in the Atmosphere Based on Parameter Estimation and Machine Learning Algorithms

A Combined Approach for Predicting the Distribution of Harmful Substances in the Atmosphere Based on Parameter Estimation and Machine Learning Algorithms

Modeling the Process of Pollutant Spread in the Atmosphere with Account for the Capture of Particles by Vegetation Elements

Estimation of the Hazardous Chemical Leakage Scale Inside Buildings Using CFD

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