Identification of ground water flow patterns using particle models

article


Serafy, G.Y. El

Heemink, A.W.

Geer, F.C. van
Particle models are often used to simulate transport processes in ground water. The ground water flow pattern is one of the driving parameters of the transport model. In this paper a parameter identification algorithm is developed for particle type models to identify the underlying flow pattern from concentration measurements. The estimation problem is solved with a gradient based algorithm. For each generated particle track, the adjoint track is determined to efficiently compute gradient of the criterion. © 2007 Elsevier Inc. All rights reserved.
Topics























Ground water flowParameter identificationParticle modelsTransport modelsVariational methodsAlgorithmsFlow patternsGradient methodsIdentification (control systems)Mathematical modelsParticles (particulate matter)Transport propertiesParameter identification algorithmParticle modelTransport modelGroundwater flowAlgorithmsFlow patternsGradient methodsGroundwater flowIdentification (control systems)Mathematical modelsParticles (particulate matter)Transport properties
TNO Identifier
954003
Repository link
https://resolver.tno.nl/uuid:249b3ddd-d258-4e7e-bf94-10c8c385efdb
ISSN
0307904X
Source
Applied Mathematical Modelling, 32(7), pp. 1208-1218.
Pages
1208-1218
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