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  4. COMPEST, a PEST-COMSOL interface for inverse multiphysics modelling: Development and application to isotopic fractionation of groundwater contaminants

COMPEST, a PEST-COMSOL interface for inverse multiphysics modelling: Development and application to isotopic fractionation of groundwater contaminants

Author(s)
Halloran, Landon J.S.  
Laboratoire de géothermie et géomécanique des réservoirs  
Brunner, Philip  
Décanat de la faculté des sciences  
Hunkeler, Daniel  
Laboratoire d'hydrochimie et de contaminants  
Date issued
May 2019
In
Computers & Geosciences
No
126
From page
107
To page
119
Reviewed by peer
1
Subjects
Inverse problems Parameter estimation Uncertainty analysis Numerical environmental models Hydrogeology Contaminant hydrology
Abstract
In the geosciences, inverse problems, wherein observations corresponding to model outputs are known and model parameters are unknown, are commonplace. Many of these problems involve coupled physical, chemical, and other processes that can be modelled using forward finite-element models. Here, we present a novel interface, COMPEST, that connects the parameter estimation and uncertainty analysis package, PEST, with the finite-element modelling package, COMSOL Multiphysics. To demonstrate some of the capabilities of this approach, we also develop and present a novel model for the degradation and transport of chlorohydrocarbons in low-permeability units. This model integrates isotopic fractionation arising from degradation and diffusion. Three implementations of this model with increasing complexity are used to demonstrate the functionality of the developed interface. This linkage provides a means for parameter estimation, uncertainty analysis, and singular value decomposition to gain insight into the behaviour, identifiability, and interdependence of the various parameters in the model. COMPEST is written so as to be suited to a wide range of scientific and engineering applications and thus can be used to link any COMSOL model with PEST. This enables the use of advanced inverse modelling techniques previously unavailable to COMSOL users.
Publication type
journal article
Identifiers
https://libra.unine.ch/handle/20.500.14713/63846
DOI
10.1016/j.cageo.2019.02.001
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2021-02-16_110_3197.pdf

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