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Listar por palabra clave "Groundwater modeling"

Mostrando ítems 1-4 de 4

An Approach to Handling Non-Gaussianity of Parameters and State Variables in Ensemble Kalman Filtering

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 ...
Inverse Methods in Hydrogeology: Evolution and Recent Trends

Zhou, Haiyan; Gómez-Hernández, J. Jaime; Li, Liangping (Elsevier, 2014-01)

[EN] Parameter identification is an essential step in constructing a groundwater model. The process of recognizing model parameter values by conditioning on observed data of the state variable is referred to as the inverse ...
Pattern Recognition in a Bimodal Aquifer Using the Normal-Score Ensemble Kalman Filter

Zhou, Haiyan; Li, Liangping; Hendricks Franssen, Harrie-Jan; Gómez-Hernández, J. Jaime (Springer Verlag (Germany), 2012-02)

The ensemble Kalman filter (EnKF) is now widely used in diverse disciplines to estimate model parameters and update model states by integrating observed data. The EnKF is known to perform optimally only for multi-Gaussian ...
Stochastic Inverse Methods to Identify non-Gaussian Model Parameters in Heterogeneous Aquifers

Zhou ., Haiyan (Universitat Politècnica de València, 2011-10-21)

La modelación numérica del flujo de agua subterránea y del transporte de masa se está convirtiendo en un criterio de referencia en la actualidad para la evaluación de recursos hídricos y la protección del medio ambiente. ...

Mostrando ítems 1-4 de 4

Listar por palabra clave "Groundwater modeling"

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Listar por palabra clave "Groundwater modeling"