J
J. Jaime Gómez-Hernández
Researcher at Polytechnic University of Valencia
Publications - 160
Citations - 5663
J. Jaime Gómez-Hernández is an academic researcher from Polytechnic University of Valencia. The author has contributed to research in topics: Hydraulic head & Ensemble Kalman filter. The author has an hindex of 38, co-authored 149 publications receiving 5128 citations. Previous affiliations of J. Jaime Gómez-Hernández include Laurentian University & University of Parma.
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Journal ArticleDOI
Upscaling hydraulic conductivities in heterogeneous media: An overview
TL;DR: In this article, a grid of hydraulic conductivities is transformed into a coarser grid of block conductivity tensors amenable for input to a numerical flow simulator, which is called hydraulic conductivity upscaling.
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A comparison of seven geostatistically based inverse approaches to estimate transmissivities for modeling advective transport by groundwater flow
D. A. Zimmerman,G. de Marsily,G. de Marsily,C. A. Gotway,Melvin G. Marietta,C. L. Axness,R. L. Beauheim,Rafael L. Bras,Jesús Carrera,Gedeon Dagan,P. B. Davies,D. P. Gallegos,A. Galli,J. Jaime Gómez-Hernández,P. Grindrod,Allan L. Gutjahr,Peter K. Kitanidis,A. M. Lavenue,Dennis McLaughlin,Shlomo P. Neuman,Banda S. RamaRao,C. Ravenne,Yoram Rubin +22 more
TL;DR: In this article, the authors compared seven different inverse approaches for identifying aquifer transmissivity and found that the linearized methods were more accurate than those of nonlinear methods in predicting travel times and travel paths.
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A review and numerical assessment of the random walk particle tracking method.
TL;DR: The general applicability of random walk particle tracking in comparison to the standard transport models is discussed and it is concluded that in advection-dominated problems using a high spatial discretization or requiring the performance of many model runs, RWPT represents a good alternative for modelling contaminant transport.
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Inverse methods in hydrogeology: Evolution and recent trends
TL;DR: This paper analyzes and tracks the evolution of the inverse methods over the last decades, mostly within the realm of hydrogeology, revealing their transformation, motivation and recent trends.
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To be or not to be multi-Gaussian? A reflection on stochastic hydrogeology
TL;DR: Three alternatives to a multi-Gaussian model, all sharing the same Gaussian histogram and the same covariance function, but with different continuity patterns for extreme values, were considered to model the spatial variability of log-conductivity.