Meso-Scale Radioactive Dispersion Modelling using GPU

International Conference on Advances in Nuclear Science and Engineering 2015

Sunarko^1 ; Suud, Zaki^2

BATAN, Jl. Kuningan Barat, Jakarta

10270, Indonesia^1

ITB, Jl. Ganesha 10, Bandung

50254, Indonesia^2

关键词: Atmospheric dispersion;    Dispersion coefficient;    Empirical relationships;    Kernel density estimators;    Lagrangian particle dispersions;    Meteorological station;    Radioactive pollutants;    Time-integrated air concentrations;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/799/1/012020/pdf
DOI  :  10.1088/1742-6596/799/1/012020

来源: IOP

【 摘 要 】

Lagrangian Particle Dispersion Method (LPDM) is applied to model atmospheric dispersion of radioactive material in a meso-scale of a few tens of kilometers for site study purpose. Empirical relationships are used to determine the dispersion coefficient for various atmospheric stabilities. Diagnostic 3-D wind field is created based on data from a meteorological station using mass-conservation principle. Particles imitating radioactive pollutant are dispersed in the wind-field as a point source. Time-integrated air concentration is calculated using kernel density estimator (KDE) in the lowest layer of the atmosphere. Parallel code is developed for GTX-660Ti GPU with a total of 1344 scalar processors using CUDA programming. Significant speedup of about 20 times is achieved compared to the serial version of the code while accuracy is kept at reasonable level. Only small differences in particle positions and grid doses are observed when using the same sets of random number and meteorological data in both CPU and GPU versions of the code.