Integration of deep learning and information theory for designing monitoring networks in heterogeneous aquifer systems
Groundwater monitoring networks are direct sources of information for revealing subsurface
system dynamic processes. However, designing such networks is difficult due to …
system dynamic processes. However, designing such networks is difficult due to …
Geological entropy and solute transport in heterogeneous porous media
M Bianchi, D Pedretti - Water Resources Research, 2017 - Wiley Online Library
We propose a novel approach to link solute transport behavior to the physical heterogeneity
of the aquifer, which we fully characterize with two measurable parameters: the variance of …
of the aquifer, which we fully characterize with two measurable parameters: the variance of …
Buried Paleo‐Channel Detection With a Groundwater Model, Tracer‐Based Observations, and Spatially Varying, Preferred Anisotropy Pilot Point Calibration
OS Schilling, DJ Partington, J Doherty… - Geophysical …, 2022 - Wiley Online Library
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 …
An approach to quantum-computational hydrologic inverse analysis
D O'Malley - Scientific reports, 2018 - nature.com
Making predictions about flow and transport in an aquifer requires knowledge of the
heterogeneous properties of the aquifer such as permeability. Computational methods for …
heterogeneous properties of the aquifer such as permeability. Computational methods for …
When good statistical models of aquifer heterogeneity go right: The impact of aquifer permeability structures on 3D flow and transport
Natural gradient steady flow of mean velocity U takes place in heterogeneous aquifers of
random logconductivity Y= ln K, characterized by the univariate PDF f (Y) and …
random logconductivity Y= ln K, characterized by the univariate PDF f (Y) and …
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 …
Solute transport in aquifers: The comeback of the advection dispersion equation and the first order approximation
Natural gradient steady flow of mean velocity U takes place in heterogeneous aquifers of
random logconductivity Y= ln K, characterized by the normal univariate PDF f (Y) and …
random logconductivity Y= ln K, characterized by the normal univariate PDF f (Y) and …
Influence of conceptual model uncertainty on contaminant transport forecasting in braided river aquifers
Hydrogeologist are commonly confronted to field data scarcity. An interesting way to
compensate this data paucity, is to use analog data. Then the questions of prediction …
compensate this data paucity, is to use analog data. Then the questions of prediction …
An effective multi-objective optimization approach for groundwater remediation considering the coexisting uncertainties of aquifer parameters
An accurate groundwater simulation model and an efficient optimization algorithm are
critical for building a reliable remediation scheme using simulation–optimization method …
critical for building a reliable remediation scheme using simulation–optimization method …
The role of atmospheric rivers on groundwater: lessons learned from an extreme wet year
ER Siirila‐Woodburn… - Water Resources …, 2023 - Wiley Online Library
In the coastal regions of the western United States, atmospheric rivers (ARs) are associated
with the largest precipitation generating storms and contribute up to half of annual …
with the largest precipitation generating storms and contribute up to half of annual …