GPU-based implementation of a diagnostic wind field model used in real-time prediction of atmospheric dispersion of radionuclides

Pinheiro, Andre; Desterro, Filipe Santana Moreira do; Santos, Marcelo C.; Pereira, Cláudio M.N.A.; Schirru, Roberto

doi:10.1016/j.pnucene.2017.05.027

Cited by 9 publications

(2 citation statements)

References 16 publications

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“…In any case, GPU processing is limited to wind field and scattering module. There are huge models utilised as a part of air and oceanic framework, for example, SILAM (Lee et al, 2014;Lelieveld et al, 2012), RODOS (Mészáros et al, 2010), AERMOD, TAMP, and DISPMOD (Niemi et al, 2009), Lagrangian (Pinheiro et al, 2017), Gaussian ADMS5 (Pöllänen et al, 1997), TREX (Ramsdell et al, 2012) and ATDM (Rentai, 2011). Different forward scattering and in reverse scattering issues have been unravelled utilising SILAM scattering demonstrating.…”

Section: Related Workmentioning

confidence: 99%

Predicting dispersion of radionuclides through parallel approach

Maheswari

Subha

2018

PIE

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Radiation release from the accidents of nuclear power plant (NPP) may likely to cause harmful impacts on the individuals and the environment. The discharge of radionuclides and climatic diffusion causes harm to air, water, plants, animals and soil. Mechanism that helps in predicting radionuclides in air will guide individuals to clear from tormented zones. In order to perceive radioactive material dissipation and its outcome in the atmosphere, it is necessary to understand climatic scattering process information about source term (nuclear material released), atmosphere conditions and geographical parts. The climatic scattering framework integrates source, wind field, scattering and dosages counts. This work completely utilises PC to calculate the toxin scattering in the atmosphere. The thought behind is to create parallel calculations giving subtle elements on parallelism of the solver. The calculation is also implemented using C programming.

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Section: Related Workmentioning

confidence: 99%

Predicting dispersion of radionuclides through parallel approach

Maheswari

Subha

2018

PIE

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“…The PMSS modeling system uses this approach and integrates subsequent modifications using more recent urban tracer studies or wind-tunnel experiments [18,19].The capability to reduce the simulation duration and extend the size of the calculation domain in urban applications at high grid resolution has been sparingly studied. Most recent publications are considering the use of graphical processing units to improve the calculation duration [20,21]. The PMSS modeling system uses the message passing interface (MPI) library to make computations in extremely large domains tractable and, in addition or independently, to reduce the durations of the simulations.…”

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confidence: 99%

Parallelization Performances of PMSS Flow and Dispersion Modeling System over a Huge Urban Area

Oldrini¹,

Armand

Duchenne

et al. 2019

Atmosphere

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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.Atmosphere 2019, 10, 404 2 of 17 Gaussian models can provide simulation results in a short time and partly account for the effects of buildings. Nonetheless, they cannot take into account the unsteady flow in and above the urban canopy and the complex dispersion pattern between the buildings.Contrary to simplified models, computational fluid dynamics (CFD) models solve the Navier-Stokes equations. CFD models are categorized, according to the scale of the range of the spatio-temporal scales that are resolved, in Reynolds averaged Navier-Stokes (RANS) [11,12] and large eddy simulation (LES) [13][14][15]. While they provide reference solutions for complex flows in a built-up configuration, they are most often limited to academic configurations and/or small built-up domains: they indeed require very long computational times by default, making them unsuitable for live operational use.As a trade-off between computational time and accuracy of the solution, Röckle [16] first suggested an original approach. This approach uses mass consistency with observations to solve for the mean flow. Vortex flow structures are analytically defined around and between buildings and within street canyons, and then a mass consistency scheme is applied. Kaplan and Dinar [17] improved the approach by coupling the flow with a Lagrangian particle dispersion model to compute dispersion in an urban area. The PMSS modeling system uses this approach and integrates subsequent modifications using more recent urban tra...

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