Numerical simulations of the flow field and pollutant dispersion in an idealized urban area under different atmospheric stability conditions

Guo, Dan; Zhao, Peng; Wang, Ran; Rentai, Yao; Hu, Jimin

doi:10.1016/j.psep.2020.01.031

Cited by 38 publications

(10 citation statements)

References 30 publications

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“…Guo et al simulated the flow and near-field plume dispersion in an urban-like environment under unstable, neutral and stable atmospheric conditions. The results show that under unstable conditions, intense thermal turbulence enhances vortex strength and plume dilution in street canyons [8]. Some scholars have made a more detailed delineation of atmospheric stability, in which a wide range of Richardson numbers is considered.…”

Section: Introductionmentioning

confidence: 99%

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

Zhou¹,

Song²,

Xiao³

2022

Atmosphere

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In this paper, the Weather Research and Forecasting (WRF) model is coupled with the computational fluid dynamics (CFD) model to study the diffusion model of the accidental leakage of hazardous gas under different atmospheric stability conditions. First, the field test at Nanjing University was used to validate the different turbulence models of CFD. The experimental data confirm that the realizable k-ε model can describe the behavior of hazardous gas diffusion. On this basis, the diffusion process of the accidental release of tracer gas under different atmospheric stability conditions is simulated. The results show that atmospheric stability has a significant effect on the flow field distribution and the area of plume of hazardous substances. The ambient wind deflects under unstable conditions and vertical turbulence is slightly larger than that under neutral and stable conditions. Under stable conditions, the dilution of harmful gases is suppressed due to weak turbulent mixing. In addition, stable atmospheric conditions can increase near-surface gas concentrations.

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Section: Introductionmentioning

confidence: 99%

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

Zhou¹,

Song²,

Xiao³

2022

Atmosphere

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“…The final factor that determines the rate of atmospheric dilution and diffusion is the nature of atmospheric motion, namely, wind and turbulence [10]. Many studies have focused on the influence of wind speed on atmospheric diffusion [11][12][13][14] including the effects of different wind speed conditions on the temporal and spatial distribution of pollutant concentration, particle uplift height, and pollutant diffusion range of single point source emissions. In fact, wind direction also directly affects the strength of turbulent activity, which in turn affects the transportation and diffusion of pollutants.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation on Particulate Matter Emissions from a Layer House during Summer in Northeast China

et al. 2022

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Particulate matter (PM) emitted from livestock and poultry production contributes to atmospheric aerosol loading, affecting animal health and the surrounding atmospheric environment. However, developing and optimizing remediation technologies require a better understanding of air pollutant concentrations, the emission plumes, and the mechanism of emission. Previous studies have primarily focused on indoor air pollution research, while outdoor research is relatively rare. Field test research is not only costly but also consumes extensive amounts of time. The application of computational fluid dynamics (CFD) technology can save a lot of measurement time and repetitive labor, in order to better understand the diffusion fundamentals and spatial and temporal distribution differences of PM. This study monitored the PM concentrations of different particle sizes inside and outside a layer house with negative pressure ventilation in Northeast China during the summer of 2021. These data were also used to validate the three-dimensional simulation of the PM concentrations inside and outside of the layer house in various scenarios of wind directions at different times by CFD technology. Through correlation analysis, it is found that temperature was positively correlated with PM1 and PM2.5, and relative humidity and wind speed were negatively correlated with PM, which has a greater impact on PM10 and total suspended particulate (TSP). The particle size was proportional to the diffusion distance and diffusion height, time, and wind direction both have an impact on the spread of PM. Considering the environmental conditions in Northeast China, increasing the height of the fan by 1 m was suggested to reduce the diffusion of PM concentration. In addition, the diffusion patterns and transport paths in this study provide valuable information for improving control measures to minimize the influence of PM on both animal health and air quality.

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“…Past numerical studies have also attempted to predict wind flow patterns and plume dispersion around real-life building complexes (Gousseau et al, 2011). For example, Guo et al (2020) conducted numerical modeling of arrays of regularly spaced objects using a Reynolds Averaged Navier-Stokes (RANS) based model. They found that the flow aligned perpendicular to the front array objects contained the most pollution in the first canyon which tended to stay there.…”

Section: Introductionmentioning

confidence: 99%

Eulerian numerical modeling of contaminant transport in Lower Manhattan, New York City, from a point-source release under the dominant wind condition: Insights gained via LES

Oaks

Flora

Khosronejad

2021

Atmospheric Environment

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Numerical simulations of the flow field and pollutant dispersion in an idealized urban area under different atmospheric stability conditions

Cited by 38 publications

References 30 publications

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

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

Numerical Simulation on Particulate Matter Emissions from a Layer House during Summer in Northeast China

Eulerian numerical modeling of contaminant transport in Lower Manhattan, New York City, from a point-source release under the dominant wind condition: Insights gained via LES

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