Uncertainty Assessment of Hydrogeological Models Based on Information Theory

Uncertainty Assessment of Hydrogeological Models Based on Information Theory

There is a great deal of uncertainty in hydrogeological modeling. Overparametrized models increase uncertainty since the information of the observations is distributed through all of the parameters. The present study proposes a new option to reduce this uncertainty. A way to achieve this goal is to...

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Bibliographic Details
Main Author: De Aguinaga, José Guillermo
Other Authors: Technische Universität Dresden, Fakultät Forst-, Geo- und Hydrowissenschaften
Format: Doctoral Thesis
Language:English
Published: Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden 2011
Subjects:
AIC
BIC
Hydrogeologie
Informationstheorie
Modelvergleich
Modellwahl
Unsicherheitsanalyse
Hydrogeology
Model Ranking
Model Selection
Multi-Response Models
Uncertainty Analysis
ddc:550
rvk:AR 22600
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-71814
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-71814
http://www.qucosa.de/fileadmin/data/qucosa/documents/7181/De_Aguinaga_2010_Diss.pdf

Internet

http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-71814
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-71814
http://www.qucosa.de/fileadmin/data/qucosa/documents/7181/De_Aguinaga_2010_Diss.pdf

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