This study introduces a novel software tool designed for emergency responses to gas leaks in outdoor environments. The software was validated through a case study using data obtained from wind tunnel modelling. It enables the calculation of probability density functions for the puff characteristics at specific locations affected by a gas leak, such as the probability density function of the 95th percentile of the concentration. From these functions, both extreme and most probable values were determined and compared with the wind tunnel data. The puff model uses a concentration field corresponding to a continuous source as its input. The software provides two model options: a Gaussian plume model and Lagrangian model. These results emphasise the advantages and limitations of each model. In addition, the time requirements for each model (which constitute a critical factor for operational use) are presented to guide users in selecting the most suitable approach for their specific requirements.

Novel software tool for emergency gas leak response in outdoor environments

Ferrero, Enrico
2025-01-01

Abstract

This study introduces a novel software tool designed for emergency responses to gas leaks in outdoor environments. The software was validated through a case study using data obtained from wind tunnel modelling. It enables the calculation of probability density functions for the puff characteristics at specific locations affected by a gas leak, such as the probability density function of the 95th percentile of the concentration. From these functions, both extreme and most probable values were determined and compared with the wind tunnel data. The puff model uses a concentration field corresponding to a continuous source as its input. The software provides two model options: a Gaussian plume model and Lagrangian model. These results emphasise the advantages and limitations of each model. In addition, the time requirements for each model (which constitute a critical factor for operational use) are presented to guide users in selecting the most suitable approach for their specific requirements.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11579/220343
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