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DISPLAY-2: a two-dimensional shallow layer model for dense gas dispersion including complex features.

A G Venetsanos1, J G Bartzis, J Würtz

  • 1National Center for Scientific Research Demokritos, Environmental Research Laboratory, Institute of Nuclear Technology and Radiation Protection, 15310 Aghia Paraskevi, Attiki, Greece. venets@avra.ipta.demokritos.gr

Journal of Hazardous Materials
|April 30, 2003
PubMed
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A new shallow layer model predicts dense gas cloud dispersion, including two-phase releases and obstacles. The model accurately simulates cloud evolution and validates against experimental data.

Area of Science:

  • Atmospheric Science
  • Environmental Engineering
  • Computational Fluid Dynamics

Background:

  • Dense gas dispersion modeling is crucial for predicting pollutant spread.
  • Existing models often struggle with complex scenarios like two-phase releases and obstacles.

Purpose of the Study:

  • To develop and validate a two-dimensional shallow layer model for dense gas dispersion.
  • To incorporate realistic conditions such as two-phase releases, obstacles, and inclined ground.

Main Methods:

  • Developed a 2D shallow layer model using conservation equations for mass, momentum, pollutant fraction, and internal energy.
  • Modeled liquid slip, rainout, air entrainment considering ground effects and relative motion.
  • Incorporated obstacle effects through area blockage, drag, and enhanced entrainment models.

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Main Results:

  • Model predictions showed acceptably small deviations from theoretical results for gravity currents.
  • Validated against various experimental data, including unobstructed and obstructed releases, and two-phase experiments.
  • Demonstrated reasonable agreement between model predictions and experimental data across diverse conditions.

Conclusions:

  • The developed shallow layer model is capable of predicting dense gas dispersion under complex, realistic conditions.
  • The model's ability to handle two-phase releases, obstacles, and ground effects enhances its practical applicability.
  • Validation against experimental data confirms the model's reliability for atmospheric dispersion studies.