Comparing Large-Eddy Simulation and Gaussian Plume Model to Sensor Measurements of an Urban Smoke Plume DOI Creative Commons
Dominic Clements,

Matthew Coburn,

Simón Cox

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(9), P. 1089 - 1089

Published: Sept. 7, 2024

The fast prediction of the extent and impact accidental air pollution releases is important to enable a quick informed response, especially in cities. Despite this importance, only small number case studies are available studying dispersion pollutants from fires short distance (O(1 km)) urban areas. While monitoring levels Southampton, UK, using low-cost sensors, fire broke out an outbuilding containing roughly 3000 reels highly flammable cine nitrate film movie equipment, which resulted high values PM2.5 being measured by sensors approximately 1500 m downstream site. This provided unique opportunity evaluate models observed data for meteorological conditions. Two numerical approaches were used simulate plume transient fire: high-fidelity computational fluid dynamics model with large-eddy simulation (LES) embedded open-source package OpenFOAM, lower-fidelity Gaussian implemented commercial software package: Atmospheric Dispersion Modeling System (ADMS). Both able quantitatively reproduce consistent spatial temporal profiles concentration at Considering unavoidable large uncertainties, comparison between sensor measurements predictions was carried out, leading approximate estimation emission rate, temperature, start duration fire. time local authority report. LES showed that lasted least 80 min rate 50 g/s PM2.5. significantly greater than ‘normal’ house reported literature, suggesting crucial importance such incidents. Finally, we discuss advantages limitations two approaches, aiming suggest selection fast-response various compromised accuracy, efficiency cost.

Language: Английский

Comparing Large-Eddy Simulation and Gaussian Plume Model to Sensor Measurements of an Urban Smoke Plume DOI Creative Commons
Dominic Clements,

Matthew Coburn,

Simón Cox

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(9), P. 1089 - 1089

Published: Sept. 7, 2024

The fast prediction of the extent and impact accidental air pollution releases is important to enable a quick informed response, especially in cities. Despite this importance, only small number case studies are available studying dispersion pollutants from fires short distance (O(1 km)) urban areas. While monitoring levels Southampton, UK, using low-cost sensors, fire broke out an outbuilding containing roughly 3000 reels highly flammable cine nitrate film movie equipment, which resulted high values PM2.5 being measured by sensors approximately 1500 m downstream site. This provided unique opportunity evaluate models observed data for meteorological conditions. Two numerical approaches were used simulate plume transient fire: high-fidelity computational fluid dynamics model with large-eddy simulation (LES) embedded open-source package OpenFOAM, lower-fidelity Gaussian implemented commercial software package: Atmospheric Dispersion Modeling System (ADMS). Both able quantitatively reproduce consistent spatial temporal profiles concentration at Considering unavoidable large uncertainties, comparison between sensor measurements predictions was carried out, leading approximate estimation emission rate, temperature, start duration fire. time local authority report. LES showed that lasted least 80 min rate 50 g/s PM2.5. significantly greater than ‘normal’ house reported literature, suggesting crucial importance such incidents. Finally, we discuss advantages limitations two approaches, aiming suggest selection fast-response various compromised accuracy, efficiency cost.

Language: Английский

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