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Multimodel Analysis of Data Collection Schemes: With application to the optimization of sampling scheme design - Couverture souple

Xue, Liang

 
9783848407873: Multimodel Analysis of Data Collection Schemes: With application to the optimization of sampling scheme design
Couverture souple
ISBN 10 : 3848407876 ISBN 13 : 9783848407873
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

The rational management of groundwater resource systems requires an understanding of their response to existing and planned schemes of exploitation, pollution prevention and/or remediation. Such understanding in turn requires collecting suitable data to characterize the system, model flow and transport within it and monitor its response to stresses. The high cost of subsurface data acquisition requires that they be collected in a judicious and effective manner. Previous approaches to the assessment and optimization of data collection schemes have generally considered the underlying models to be known and accurate. In reality, the complex nature of hydrogeologic environments renders available data prone to multiple interpretations and the system subject to alternative ways of representation by models. Multimodel analysis method within the framework of Bayesian model averaging and its maximum likelihood version is used to analyze the worth of data and a discrete variable version of the Differential Evolution method is introduced to optimize the locations of prospective new data so as to reduce overall predictive uncertainty.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The rational management of groundwater resource systems requires an understanding of their response to existing and planned schemes of exploitation, pollution prevention and/or remediation. Such understanding in turn requires collecting suitable data to characterize the system, model flow and transport within it and monitor its response to stresses. The high cost of subsurface data acquisition requires that they be collected in a judicious and effective manner. Previous approaches to the assessment and optimization of data collection schemes have generally considered the underlying models to be known and accurate. In reality, the complex nature of hydrogeologic environments renders available data prone to multiple interpretations and the system subject to alternative ways of representation by models. Multimodel analysis method within the framework of Bayesian model averaging and its maximum likelihood version is used to analyze the worth of data and a discrete variable version of the Differential Evolution method is introduced to optimize the locations of prospective new data so as to reduce overall predictive uncertainty.

Biographie de l'auteur

Dr. Liang Xue earned his PhD degree in Hydrology from Department of Hydrology and Water Resources at the University of Arizona in the winter of 2011.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3848407876
ISBN 13 
9783848407873
Reliure
Broché
Nombre de pages
172
Coordonnées du fabricant
non disponible
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