A Nonlinear Optimization Method Applied to the Hydraulic Conductivity Identification in Unconfined Aquifers

Aya Mourad () and Carole Rosier ()
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Aya Mourad: Lebanese University
Carole Rosier: Université du Littoral Côte d’Opale

Journal of Optimization Theory and Applications, 2019, vol. 183, issue 2, No 15, 705-730

Abstract: Abstract This article is concerned with the identification, from observations or field measurements, of the hydraulic conductivity for the saltwater intrusion problem in an unconfined aquifer. The involved model consists in a cross-diffusion system describing the evolutions of two interfaces: one between freshwater and saltwater and the other one between the saturated and unsaturated zones of the aquifer. The inverse problem is formulated as an optimization problem, where the cost function is a least square functional measuring the discrepancy between experimental interfaces depths and those provided by the model. Considering the exact problem as a constraint for the optimization problem and introducing the Lagrangian associated with the cost function, we prove that the optimality system has at least one solution. Moreover, we establish the first-order necessary optimality conditions. A numerical method is implemented to solve this identification problem. Some numerical results are presented to illustrate the ability of the method to determine the unknown parameters.

Keywords: Parameters identification; Optimization problem; Cross-diffusion system; Fixed point theorem; BLMVM algorithm; 49J20; 37N10; 45M15; 76R99 (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s10957-019-01571-2

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