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RODOS meteorological pre-processor and atmospheric dispersionmodel DIPCOT: a model suite for radionuclides dispersion in complexterrain

Published online by Cambridge University Press:  16 September 2010

S. Andronopoulos
Affiliation:
NCSR Demokritos, Institute of Nuclear Technology and Radiation Protection, Environmental Research Laboratory, 15310 Aghia Paraskevi, Greece
E. Davakis
Affiliation:
NCSR Demokritos, Institute of Nuclear Technology and Radiation Protection, Environmental Research Laboratory, 15310 Aghia Paraskevi, Greece
J.G. Bartzis
Affiliation:
Department of Mechanical Engineering, University of Western Macedonia, Bakola & Sialvera, 50100 Kozani, Greece
I. Kovalets
Affiliation:
Institute of Mathematical Machines and Systems Problems, NAS of Ukraine, Ukraine
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Abstract

The Meteorological Pre-Processor (MPP) of the Decision Support System RODOS acts asinterface between the incoming meteorological data from stations and/or prognostic modelsand the Atmospheric Dispersion Models (ADMs) used for predicting the spread of theaccidentally emitted radionuclides. The MPP includes a diagnostic Wind Field Model (WFM)to ensure mass conservation of the calculated wind field. Its output is usable by simpleand complex ADMs and it is applicable for highly complex topography and from micro- tomeso-scales. The MPP has been tested for both real and artificial flow fields and it hasbeen optimized to function with very short execution times and to give the most reasonableresults under all terrain complexity and atmospheric stability conditions. DIPCOT(DIsPersion over COmplex Terrain) is a Lagrangian Puff / Particle model that has beenimplemented in RODOS to simulate radionuclides atmospheric dispersion over complicatedterrain. For this purpose, it uses a certain number of fictitious puffs/particles whichare assumed to move with the mean wind flow plus a random velocity component to simulateturbulent diffusion. The calculation of the gamma radiation dose rates in air due to theradioactive plume is calculated by a very fast method that takes into account theinhomogeneous 3-dimensional cloud shape. DIPCOT has been evaluated by comparisons towidely used real-scale experimental data sets: Copenhagen, Prairie Grass, Indianapolis andMol. The integration of the above models greatly enhances the applicability of the RODOSsystem.

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