Using many pilot points and singular value decomposition in groundwater model calibration

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskning

  • Geologisk Institut
A significant practical problem with the pilot point method is to choose the location of the pilot points. We present a method that is intended to relieve the modeller from much of this responsibility. The basic idea is that a very large number of pilot points are distributed more or less uniformly over the model area. Singular value decomposition (SVD) of the normal matrix is used to reduce the large number of pilot point parameters to a smaller number of so-called super parameters that can be estimated by nonlinear regression from the available observations. A number of eigenvectors corresponding to significant Eigen values (resulting from the decomposition) is used to transform the model from having many pilot point parameters to having a few super parameters. A synthetic case model is used to analyze and demonstrate the application of the presented method of model parameterization and calibration.
OriginalsprogEngelsk
TitelModelCARE’2007 , nt. Conf. on Calibration and Reliability in Groundwater Modelling – Credibility in Modelling : Pre-published proceedings
RedaktørerJens Christian Refsgaard, Erik Nygaard
Antal sider6
Vol/bind2
ForlagGEUS
Udgivelsesår2008
Sider448-453
StatusUdgivet - 2008
BegivenhedModelCARE’2007 , Int. Conf. on Calibration and Reliability in Groundwater Modelling – Credibility in Modelling - København, Danmark
Varighed: 9 sep. 200713 sep. 2007
Konferencens nummer: 6

Konference

KonferenceModelCARE’2007 , Int. Conf. on Calibration and Reliability in Groundwater Modelling – Credibility in Modelling
Nummer6
LandDanmark
ByKøbenhavn
Periode09/09/200713/09/2007

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