Pierre Ngnepieba ; François Xavier Le Dimet ; Alexis Boukong ; Gabriel Nguetseng - Parameters identification: an application to the Richards equation

arima:1833 - Revue Africaine de Recherche en Informatique et Mathématiques Appliquées, October 14, 2002, Volume 1, 2002 - https://doi.org/10.46298/arima.1833
Parameters identification: an application to the Richards equationArticle

Authors: Pierre Ngnepieba 1; François Xavier Le Dimet 1; Alexis Boukong 2,3; Gabriel Nguetseng 4

Inverse modeling has become a standard technique for estimating hydrogeologic parameters. These parameters are usually inferred by minimizing the sum of the squared differences between the observed system state and the one calculed by a mathematical model. Since some hydrodynamics parameters in Richards model cannot be measured, they have to be tuned with respect to the observation and the output of the model. Optimal parameters are found by minimizing cost function and the unconstrained minimization algorithm of the quasi-Newton limited memory type is used. The inverse model allows computation of optimal scale parameters and model sensi-tivity.

Volume: Volume 1, 2002
Published on: October 14, 2002
Submitted on: March 21, 2002
Keywords: Adjoint model, cost fonction, cumulative infiltration, observed cumulative infiltration, identification, optimal control.,fonction coût,infiltration cumulée,infiltration cumulée observée,modèle adjoint,identification,contrôle optimal,[INFO] Computer Science [cs],[MATH] Mathematics [math]

Consultation statistics

This page has been seen 261 times.
This article's PDF has been downloaded 426 times.