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Browsing by Author "Gómez Hernández, José Jaime"

Now showing items 1-20 of 57

A Comparative Study of Three-Dimensional Hydraulic Conductivity Upscaling at the MAcro-Dispersion Experiment (MADE) site, Columbus Air Force Base, Mississippi (USA)

Li ., Liangping; Zhou ., Haiyan; Gómez-Hernández, J. Jaime (Elsevier, 2011-07-11)

Simple averaging, simple-Laplacian, Laplacian-with-skin, and non-uniform coarsening are the techniques investigated in this comparative study of three-dimensional hydraulic conductivity upscaling. The reference is a fine ...
A local global pattern matching method for subsurface stochastic inverse modeling

Li ., Liangping; Srinivasan, Sanjay; Zhou, Haiyan; Gómez Hernández, José Jaime (Elsevier, 2015-05-15)

Inverse modeling is an essential step for reliable modeling of subsurface flow and transport, which is important for groundwater resource management and aquifer remediation. Multiple-point statistics (MPS) based reservoir ...
A markov chain monte carlo method for inverse stochastic modeling and uncertainty assessment

Fu, Jianlin (Universitat Politècnica de València, 2008-05-07)

Unlike the traditional two-stage methods, a conditional and inverse-conditional simulation approach may directly generate independent, identically distributed realizations to honor both static data and state data in one ...
A pattern-search-based inverse method

Zhou ., Haiyan; Gómez-Hernández, J. Jaime; Li ., Liangping (American Geophysical Union (AGU), 2012)

Uncertainty in model predictions is caused to a large extent by the uncertainty in model parameters, while the identification of model parameters is demanding because of the inherent heterogeneity of the aquifer. A variety ...
A Pilot Point Guided Pattern Matching Approach to Integrate Dynamic Data into Geological Modeling

Li, Liangping; Srinivasan, Sanjay; Zhou, Haiyan; Gómez-Hernández, J. Jaime (Elsevier, 2013-12)

Methods based on multiple-point statistics (MPS) have been routinely used to characterize complex geological formations in the last decade. These methods use the available static data (for example, measured conductivities) ...
Advanced techniques for solving groundwater and surface water problems in the context of inverse methods and climate change.

Todaro, Valeria (Universitat Politècnica de València, 2021-05-17)

[ES] El tema de la investigación se centra en técnicas avanzadas para manejar problemas de aguas subterráneas y superficiales relacionados con métodos inversos y cambio climático. Los filtros de Kalman, con especial atención ...
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 ...
Characterization of non-Gaussian conductivities and porosities with hydraulic heads, solute concentrations, and water temperatures

Xu, Teng; Gómez-Hernández, J. Jaime (John Wiley & Sons, 2016)

Reliable characterization of hydraulic parameters is important for the understanding of groundwater flow and solute transport. The normal-score ensemble Kalman filter (NS-EnKF) has proven to be an effective inverse method ...
Characterizing curvilinear features using the localized normal-score ensemble Kalman filter

Zhou ., Haiyan; Li ., Liangping; Gómez-Hernández, J. Jaime (Hindawi Publishing Corporation, 2012)

The localized normal-score ensemble Kalman filter is shown to work for the characterization of non-multi-Gaussian distributed hydraulic conductivities by assimilating state observation data. The influence of type of flow ...
Díaz Viera, M.A., Sahay, N., Coronado, M. and Ortiz Tapia, A. (eds.) : Mathematical and Numerical Modeling in Porous Media: Applications in Geosciences

Gómez-Hernández, J. Jaime (Springer Verlag (Germany), 2014-04)
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 ...
Evaluación de la incertidumbre de las predicciones de los niveles piezométricos del acuífero de la fábrica de uranio de Andújar mediante el uso de filtros de Kalman de conjuntos

Gutiérrez Esparza, Julio César (Universitat Politècnica de València, 2013-06-26)

[ES] Este trabajo se ha centrado en el área que es inmediata a la Fabrica de Uranio de Andújar (FUA), mas concretamente en el acuífero que ahí se localiza, en el cual, tras la clausura de la fábrica se observó la presencia ...
Evaluación de la incertidumbre de las predicciones de los niveles piezométricos del acuífero de la fábrica de uranio de Andújar mediante el uso de filtros de Kalman de conjuntos

Gutiérrez Esparza, Julio César (Universitat Politècnica de València, 2012-11-23)

[ES] Este trabajo se ha centrado en el área que es inmediata a la Fabrica de Uranio de Andújar (FUA), mas concretamente en el acuífero que ahí se localiza, en el cual, tras la clausura de la fábrica se observó la presencia ...
Factorial kriging of a geochemical dataset for the heavy-metal spatial-pattern characterization The Wallonian Region

Benamghar, Achéne; Gómez-Hernández, J. Jaime (Springer Verlag (Germany), 2014-04)

Characterizing the spatial patterns of variability is a fundamental aspect when investigating what could be the causes behind the spatial spreading of a set of variables. In this paper, a large multivariate dataset from ...
Geostatistics for Environmental Applications

Gómez-Hernández, J. Jaime; Horta, Ana; Jeanée, Nicolas (Elsevier, 2013-08)
Groundwater flow inverse modeling in non-MultiGaussian media: Performance assessment of the normal-score Ensemble Kalman Filter

Li, Liangping; Zhou, Haiyan; Hendricks-Franssen, Hendrikus Johannes; Gómez-Hernández, J. Jaime (European Geosciences Union (EGU), 2012)

[EN] The normal-score ensemble Kalman filter (NS-EnKF) is tested on a synthetic aquifer characterized by the presence of channels with a bimodal distribution of its hydraulic conductivities. This is a clear example of an ...
II Congreso Ibérico de las Aguas Subterráneas

Gómez Hernández, José Jaime; Rodrigo Ilarri, Javier (Editorial Universitat Politècnica de València, 2014-09-01)

La primera edición del Congreso Ibérico de las Aguas Subterráneas (CIAS) tuvo lugar en Zaragoza en septiembre de 2011. La segunda edición del CIAS tiene lugar en la Ciudad Politécnica de la Innovación, sede del parque ...
Incorporación de información blanda para la cuantificación de la incertidumbre: Aplicación a la hidrogeología

Cassiraga ., Eduardo Fabián (Universitat Politècnica de València, 2009-04-29)

Esta tesis con un importante aspecto relacionado con la construcción de modelos numéricos para la simulación de flujo de agua subterránea y el transporte de masa en acuíferos heterogéneos: la integración de toda la información ...
Influencia de la heterogeneidad espacial de la conductividad hidráulica en modelos de agua subterránea

Carrasco Jocope, Arnold Jerson (Universitat Politècnica de València, 2021-07-01)

[EN] The management of water resources has been of great importance for several years, among which, special attention is being paid to groundwater, due to the amount of available resource and its sensitivity to natural ...
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 ...