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RECORD NUMBER: 27 OF 38

OLS Field Name OLS Field Data
Main Title Optimal Adaptive Local Grid Refinement Approach to Modeling Contaminant Transport.
Author Yeh, G. T. ; Kane, K. A. ; Short, T. E. ;
CORP Author Pennsylvania State Univ., State College. Applied Research Lab. ;Colorado Univ. at Denver. ;Wyoming Univ., Laramie.;Robert S. Kerr Environmental Research Lab., Ada, OK.;Department of Energy, Washington, DC.
Publisher 1992
Year Published 1992
Report Number EPA-R-18322-01-0, DE-FG02-91ER61197;
Stock Number PB92-217314
Additional Subjects Ground water ; Computerized simulation ; Environmental transport ; Water pollution ; Euler-Lagrange equation ; Finite element method ; Algorithms ; Reprints ; Adaptive local grid refinement
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB92-217314 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 06/01/1993
Collation 12p
Abstract
A Lagrangian-Eulerian method with an optimal adaptive local grid refinement is used to model contaminant transport equations. Application of this approach to two bench-mark problems indicates that it completely resolves difficulties of peak clipping, numerical diffusion, and spurious oscillation. Results are compared with and shown superior to those obtained by the N+2 linear and quadratic finite element simulations. Furthermore, unlike the N+2 finite element methods whose accuracy relies on the proper choice of optimal parameters, there is no parameter adjustment required with the optimal adaptive local grid refinement approach. Extension of this approach to multi-dimensional problems does not pose any conceptual difficulty, and should alleviate grid orientation problems.