Dispersion and Radiation Modelling in ESTE System Using Urban LPM

Author:

Lipták Ľudovít1,Čarný Peter1,Marčišovský Michal1,Marčišovská Mária1ORCID,Chylý Miroslav1,Fojciková Eva1

Affiliation:

1. ABmerit, s.r.o., Hornopotočná 1, P.O. Box 200, 917 01 Trnava, Slovakia

Abstract

In cases of accidental or deliberate incidents involving a harmful agent in urban areas, a detailed modelling approach is required to include the building shapes and spatial locations. Simultaneously, when applied to crisis management, a simulation tool must meet strict time constraints. This work presents a Lagrangian particle model (LPM) for computing atmospheric dispersion. The model is implemented in the nuclear decision support system ESTE CBRN, a software tool developed to calculate the atmospheric dispersion of airborne hazardous materials and radiological impacts in the built-up area. The implemented LPM is based on Thomson’s solution for the nonstationary, three-dimensional Langevin equation model for turbulent diffusion. The simulation results are successfully analyzed by testing compatibility with Briggs sigma functions in the case of continuous release. The implemented LPM is compared with the Joint Urban 2003 Street Canyon Experiment for instantaneous puff releases. We compare the maximum concentrations and peak times measured during two intensive operational periods. The modeled peak times are mostly 10–20% smaller than the measured. Except for a few detector locations, the maximum concentrations are reproduced consistently. In the end, we demonstrate via calculation on single computers utilizing general-purpose computing on graphics processing units (GPGPU) that the implementation is well suited for an actual emergency response since the computational times (including dispersion and dose calculation) for an acceptable level of result accuracy are similar to the modeled event duration itself.

Funder

Slovak Research and Development Agency

Publisher

MDPI AG

Subject

Atmospheric Science,Environmental Science (miscellaneous)

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