Abstract

The use of modeling as a support tool for crisis management and decision planning requires fast simulations in complex built-up areas. The Parallel Micro SWIFT SPRAY (PMSS) modeling system offers a tradeoff between accuracy and fast calculations, while retaining the capability to model buildings at high resolution in three dimensions. PMSS has been applied to actual areas of responsibilities of emergency teams during the EMERGENCIES (very high rEsolution eMERGEncy simulatioN for citIES) and EMED (Emergencies for the MEDiterranean sea) projects: these areas cover several thousands of square kilometers. Usage of metric meshes on such large areas requires domain decomposition parallel algorithms within PMSS. Sensitivity and performance of the domain decomposition has been evaluated both for the flow and dispersion models, using from 341 up to 8052 computing cores. Efficiency of the Parallel SWIFT (PSWIFT) flow model on the EMED domain remains above 50% for up to 4700 cores. Influence of domain decomposition on the Parallel SPRAY (PSPRAY) Lagrangian dispersion model is less straightforward to evaluate due to the complex load balancing process. Due to load balancing, better performance is achieved with the finest domain decomposition. PMSS is able to simulate accidental or malevolent airborne release at high resolution on very large areas, consistent with emergency team responsibility constrains, and with computation time compatible with operational use. This demonstrates that PMSS is an important asset for emergency response applications.

Highlights

  • Malevolent releases of noxious gases or fine particles in the atmosphere are more likely to occur in highly populated built-up areas like industrial sites or urban districts

  • (PMSS) modeling system [1] is able to model the flow and dispersion with computing time at high resolution and in a way that is compatible with emergency situations [2,3]

  • We considered fictive releases

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Summary

Introduction

Malevolent releases of noxious gases or fine particles in the atmosphere are more likely to occur in highly populated built-up areas like industrial sites or urban districts. The health effects of the releases are all the more acute when the distances from the sources of emission are small. The use of modeling as a relevant support tool for crisis management or rescue planning requires the capability to model the influence of buildings on the dispersion at small scale. The Parallel-Micro-SWIFT-SPRAY (PMSS) modeling system [1] is able to model the flow and dispersion with computing time at high resolution and in a way that is compatible with emergency situations [2,3]. Most fast response systems dedicated to built-up areas use modified Gaussian modeling. The Atmospheric Dispersion Modeling System—Urban model (ADMS-Urban) [4], the Plume RIse

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