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The Lagrangian Atmospheric Radionuclide Transport Model (ARTM) — development, description and sensitivity analysis
The Lagrangian Atmospheric Radionuclide Transport Model (ARTM) — development, description and sensitivity analysis
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The Lagrangian Atmospheric Radionuclide Transport Model (ARTM) — development, description and sensitivity analysis
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The Lagrangian Atmospheric Radionuclide Transport Model (ARTM) — development, description and sensitivity analysis
The Lagrangian Atmospheric Radionuclide Transport Model (ARTM) — development, description and sensitivity analysis
Journal Article

The Lagrangian Atmospheric Radionuclide Transport Model (ARTM) — development, description and sensitivity analysis

2024
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Overview
Atmospheric dispersion models are applied to describe and predict the dispersion of emitted plumes. Here, we describe the Lagrangian Atmospheric Radionuclide Transport Model (ARTM) 2.8.0 which was developed to simulate the atmospheric dispersion of the emissions of nuclear facilities under routine operation for regulatory purposes over annual time scales. ARTM includes a diagnostic wind field model and a particle dispersion model. It simulates size-dependent wet and dry deposition, plume rise and γ-cloud shine of radioactive exhaust plumes in the simulation domain. This work presents an extensive overview of the different components of the model and of the physical and mathematical concepts of ARTM. We investigate the dependence of the plume dispersion in terms of plume volume, position of maximum concentration and dry deposition rates on key input parameters such as atmospheric stability, surface roughness, zero plane displacement height, source height and the particle size in the case of particulate matter tracers. The results indicate a strong dependence of plume volume and position of the maximum concentration on the stability as well as a minor influence on surface roughness. The source height above ground level has a low impact on the plume volume as the zero plane displacement only slightly affects the position of maximum concentration. Strong turbulence under unstable conditions tends to reduce the impact of sedimentation and decreases deposition in general. This computational model serves to advance the understanding of the dispersion of radioactive plumes in the boundary layer.