Comparison of Eulerian-Lagrangian, Random Walk and Hybrid Methods of Modeling Pollutant Transportby Jeffrey C. Moeller, Massachusetts Inst of Technology, Cambridge, United States,
E. Eric Adams, Massachusetts Inst of Technology, Cambridge, United States,
Document Type: Proceeding Paper
Part of: Estuarine and Coastal Modeling
An Eulerian-Lagrangian, a random walk, and a hybrid model were compared in terms of their accuracy and efficiency in simulating two-dimensional pollutant transport. Computer experiments indicate that the hybrid approach, which uses particles to model the near field and the Eulerian-Lagrangian method to model the far field, was the most accurate overall. The Eulerian-Lagrangian model performed best in simple flow fields without shear, but the hybrid model performed better than the Eulerian-Lagrangian model in moderate and heavy shear flows because it modeled the near field much more accurately. The random walk model did not compare well in terms of accuracy which suggests the most appropriate role for particles in surface water modeling may be in a hybrid approach.
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