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Mostrando ítems 1-3 de 3

Ensemble Kalman filtering for hydraulic conductivity characterization: Parallelization and non-Gaussianity

Xu, Teng (Universitat Politècnica de València, 2014-11-03)

The ensemble Kalman filter (EnKF) is nowadays recognized as an excellent inverse method for hydraulic conductivity characterization using transient piezometric head data. and it is proved that the EnKF is computationally ...
Inverse sequential simulation: A new approach for the characterization of hydraulic conductivities demonstrated on a non-Gaussian field

Xu, Teng; Gómez Hernández, J. Jaime (American Geophysical Union (AGU), 2015)

Inverse sequential simulation (iSS) is a new inverse modeling approach for the characterization of hydraulic conductivity fields based on sequential simulation. It is described and demonstrated in a synthetic aquifer ...
The Power of Transient Piezometric Head Data in Inverse Modeling: An Application of the Localized Normal-score EnKF with Covariance Inflation in a Heterogenous Bimodal Hydraulic Conductivity Field

Xu, Teng; Gómez-Hernández, J. Jaime; Zhou, Haiyan; Li, Liangping (Elsevier, 2013-04)

The localized normal-score ensemble Kalman filter (NS-EnKF) coupled with covariance inflation is used to characterize the spatial variability of a channelized bimodal hydraulic conductivity field, for which the only existing ...

Mostrando ítems 1-3 de 3