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Area of Science:

  • Environmental Science
  • Nuclear Engineering
  • Atmospheric Science

Background:

  • Atmospheric dispersion of radioactive particles from nuclear facilities is critical for environmental and public health.
  • Complex terrain significantly influences radioactive particle distribution patterns.
  • Idealized terrains like ridges and hills are used to study terrain effects on dispersion.

Purpose of the Study:

  • To investigate radioactive particulate dispersion trajectories over idealized terrains using wind tunnel experiments and CFD simulations.
  • To systematically analyze the effects of terrain dimensions, types, and pollutant release parameters.
  • To develop and optimize CFD models for accurate dispersion predictions in complex terrain.

Main Methods:

  • Integrated approach combining wind tunnel experiments with laser-sheet visualization and Computational Fluid Dynamics (CFD) simulations.
  • Systematic variation of key parameters: terrain dimensions, types, release heights, and pollutant positions.
  • Validation of CFD models against experimental data and optimization of model constants.

Main Results:

  • Two-dimensional ridges enhanced plume rise compared to flat terrain; influence varied with ridge location and height.
  • Lateral flow around three-dimensional hills reduced their impact on plume trajectory, with limited sensitivity to hill height.
  • Large hills blocked dispersion, decreasing downwind concentrations; higher release points and greater distances reduced terrain influence.
  • CFD simulations showed discrepancies with flat-terrain constants; optimized constants improved accuracy for complex terrain.

Conclusions:

  • Terrain complexity, including ridges and hills, significantly alters radioactive particle dispersion patterns.
  • Optimized CFD model constants are crucial for accurate dispersion modeling over complex terrains.
  • Understanding these effects is vital for environmental monitoring and public safety around nuclear facilities.