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Browsing by Author "Gómez Hernández, José Jaime"

Now showing items 1-20 of 69

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 comparison between ES-MDA and restart EnKF for the purpose of the simultaneous identification of a contaminant source and hydraulic conductivity

Xu, Teng; Gómez-Hernández, J. Jaime; Chen, Zi; Lu, Chunhui (Elsevier, 2021-04)

[EN] Understanding a contaminant source may help in a better management and risk assessment of a polluted aquifer. However, contaminant source information may not be available when a pollutant is detected in a drinking ...
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 ...
Contaminant Source Identification in Aquifers: A Critical View

Gómez-Hernández, J. Jaime; Xu, Teng (Springer-Verlag, 2022-02)

[EN] Forty years and 157 papers later, research on contaminant source identification has grown exponentially in number but seems to be stalled concerning advancement towards the problem solution and its field application. ...
Contaminant Spill in a Sandbox with Non-Gaussian Conductivities: Simultaneous Identification by the Restart Normal-Score Ensemble Kalman Filter

Chen, Zi; Xu, Teng; Gómez-Hernández, J. Jaime; Zanini, Andrea (Springer-Verlag, 2021-10)

[EN] The joint identification of the parameters defining a contaminant source and the heterogeneous distribution of the hydraulic conductivities of the aquifer where the contamination took place is a difficult task. Previous ...
Contaminant-Source Detection in a Water Distribution System Using the Ensemble Kalman Filter

Butera, Ilaria; Gómez-Hernández, J. Jaime; Nicotra, Silvia (American Society of Civil Engineers, 2021-07-01)

[EN] Early detection of a contamination leach into a water distribution system, followed by the identification of the source and an evaluation of the total amount of the contaminant that has been injected into the system, ...
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 ...
Ensemble Smoother with Multiple Data Assimilation as a Tool for Curve Fitting and Parameter Uncertainty Characterization: Example Applications to Fit Nonlinear Sorption Isotherms

Godoy, Vanessa A.; Napa-García, Gian F.; Gómez-Hernández, J. Jaime (Springer-Verlag, 2022-05)

[EN] The ensemble smoother with multiple data assimilation (ES-MDA) coupled to a normal-score transformation is used to fit a Langmuir isotherm curve to estimate its parameters (Sm and b) and their uncertainty. The highlights ...
Ensemble smoother with multiple data assimilation to simultaneously estimate the source location and the release history of a contaminant spill in an aquifer

Todaro, Valeria; D'Oria, Marco; Tanda, Maria Giovanna; Gómez-Hernández, J. Jaime (Elsevier, 2021-07)

[EN] The source location and the time history of a pollutant released in an aquifer are very relevant information for the design of effective remediation strategies. Usually, their identification requires solving an inverse ...
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 ...