Application of geostatistical methods to groundwater salinization problems: A review
Groundwater salinization is considered to be one of the most severe and complex
phenomena affecting coastal regions worldwide, occurring when high concentrations of …
phenomena affecting coastal regions worldwide, occurring when high concentrations of …
Deep convolutional generative adversarial networks for modeling complex hydrological structures in Monte-Carlo simulation
Abstract Characterization of complex subsurface structures is challenging due to the
demand to preserve geological realism of the training images in earth and environmental …
demand to preserve geological realism of the training images in earth and environmental …
Integrated hydrogeophysical modelling and data assimilation for geoelectrical leak detection
Time-lapse electrical resistivity tomography (ERT) measurements provide
indirectobservations of hydrological processes in the Earth's shallow subsurface at high …
indirectobservations of hydrological processes in the Earth's shallow subsurface at high …
Buried Paleo‐Channel Detection With a Groundwater Model, Tracer‐Based Observations, and Spatially Varying, Preferred Anisotropy Pilot Point Calibration
Alluvial sand and gravel (ASG) aquifers are highly heterogeneous and exhibit strong,
spatially variable anisotropy, often interspersed by buried paleo‐channels of increased …
spatially variable anisotropy, often interspersed by buried paleo‐channels of increased …
Characterization of the non-Gaussian hydraulic conductivity field via deep learning-based inversion of hydraulic-head and self-potential data
Accurate characterization of the spatial heterogeneity of hydraulic properties such as
hydraulic conductivity (K) is essential for understanding groundwater flow and contaminant …
hydraulic conductivity (K) is essential for understanding groundwater flow and contaminant …
Integration of DDPM and ILUES for simultaneous identification of contaminant source parameters and non‐Gaussian channelized hydraulic conductivity field
Identifying highly channelized hydraulic conductivity fields and contaminant source
parameters remains a challenging task, primarily due to the non‐Gaussian nature and high …
parameters remains a challenging task, primarily due to the non‐Gaussian nature and high …
Coupled hydrogeophysical inversion to identify non-Gaussian hydraulic conductivity field by jointly assimilating geochemical and time-lapse geophysical data
Reliable inversion of spatial heterogeneity of hydraulic conductivity is crucial to understand
subsurface fluids migration. The Ensemble Smoother–Direct Sampling method (ES-DS) has …
subsurface fluids migration. The Ensemble Smoother–Direct Sampling method (ES-DS) has …
An iterative normal-score ensemble smoother for dealing with non-Gaussianity in data assimilation
Abstract The ensemble Kalman filter (EnKF) has been widely applied to assimilate dynamic
data such as hydraulic head in geologic models for improved predictions over the past …
data such as hydraulic head in geologic models for improved predictions over the past …
Integration of soft data into geostatistical simulation of categorical variables
SF Carle, GE Fogg - Frontiers in Earth Science, 2020 - frontiersin.org
Uncertain or indirect “soft” data, such as geologic interpretation, driller's logs, geophysical
logs or imaging, offer potential constraints or “soft conditioning” to stochastic models of …
logs or imaging, offer potential constraints or “soft conditioning” to stochastic models of …
Glyphosate and AMPA have low mobility through different soil profiles of the prosecco wine production area: A monitoring study in north-eastern Italy
Contamination of the environment by glyphosate (GLP) and its metabolite
aminomethylphosphonic acid (AMPA) is still of major concern worldwide due to specific …
aminomethylphosphonic acid (AMPA) is still of major concern worldwide due to specific …