Zhou ., Haiyan; Gómez-Hernández, J. Jaime; Hendricks Franssen, Hendrikus Johannes W; Li, Liangping(ELSEVIER SCI LTD, 2011)
[EN] The ensemble Kalman filter (EnKF) is a commonly used real-time data assimilation algorithm in various disciplines. Here, the EnKF is applied, in a hydrogeological context, to condition log-conductivity realizations ...
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 ...
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 ...
Xu, Teng; Gómez-Hernández, J. Jaime(John Wiley & Sons, 2016)
[EN] When a contaminant is detected in a drinking well, source location, initial contaminant release time, and initial contaminant concentration are, in many cases, unknown; the responsible party may have disappeared and ...
[EN] Real-time data from on-line sensors offer the possibility to update environmental simulation models in real-time. Information from on-line sensors concerning contaminant concentrations in groundwater allow for the ...
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 ...
Li, Liangping; Srinivasan, Sanjay; Zhou, Haiyan; Gomez-Hernandez, J. Jaime(Elsevier, 2015-12)
The Ensemble Kalman Filter (EnKF) has been commonly used to assimilate real time dynamic data into geologic
models over the past decade. Despite its various advantages such as computational efficiency and its
capability ...