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Relative efficiency of four parameter-estimation methods in steady-state and transient ground-water flow models

By:
Edited by:
Gambolati G.Rinaldo A.Brebbia C.A.Gray W.G.Pinder G.F.

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Abstract

Parameters in numerical ground-water flow models have been successfully estimated using nonlinear-optimization methods such as the modified Gauss-Newton (GN) method and conjugate-direction methods. This paper investigates the relative efficiency of GN and three conjugate-direction parameter-estimation methods on two-dimensional, steady-state and transient ground-water flow test cases. The steady-state test cases are included to compare the performance of the algorithm with published examples. The three conjugate-direction methods are the Fletcher-Reeves (FR) and quasi-Newton (QN) regression methods, and combination Fletcher-Reeves quasi-Newton (FR-QN). All three are combined with Newton's method of calculating step size. The numerical ground-water flow model is described by McDonald and Harbaugh.

Additional Publication Details

Publication type:
Conference Paper
Publication Subtype:
Conference Paper
Title:
Relative efficiency of four parameter-estimation methods in steady-state and transient ground-water flow models
ISBN:
038752701X
Year Published:
1990
Language:
English
Publisher:
Publ by Springer-Verlag Berlin
Publisher location:
Berlin 33, Germany
First page:
103
Last page:
108
Number of Pages:
6
Conference Title:
Proceedings of the 8th International Conference on Computational Methods in Water Resources
Conference Location:
Venice, Italy
Conference Date:
11 June 1990 through 15 June 1990