Search Results - "Boso, Francesca"
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An indirect assessment on the impact of connectivity of conductivity classes upon longitudinal asymptotic macrodispersivity
Published in Water resources research (01-08-2010)“…Solute transport takes place in heterogeneous porous formations, with the log conductivity, Y = ln K, modeled as a stationary random space function of given…”
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2
Homogenizability conditions for multicomponent reactive transport
Published in Advances in water resources (01-12-2013)“…•We upscale multicomponent reactive transport in porous media.•We establish sufficient conditions of continuum-scale ADR equations.•These conditions are…”
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3
Method of Distributions for Water Hammer Equations With Uncertain Parameters
Published in Water resources research (01-11-2018)“…Water hammer equations (WHE) are routinely used to interpret leak detection tests in pipe networks. Assimilation of pressure data into model predictions is…”
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4
Numerical simulations of solute transport in highly heterogeneous formations: A comparison of alternative numerical schemes
Published in Advances in water resources (01-02-2013)“…► Five numerical schemes to solve transport in highly heterogeneous porous media. ► Lagrangian and hybrid methods show negligible numerical diffusion. ►…”
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The method of distributions for dispersive transport in porous media with uncertain hydraulic properties
Published in Water resources research (01-06-2016)“…Predictions of solute transport in subsurface environments are notoriously unreliable due to aquifer heterogeneity and uncertainty about the values of…”
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6
Probabilistic Forecasting of Nitrogen Dynamics in Hyporheic Zone
Published in Water resources research (01-07-2018)“…Nitrification‐denitrification processes in the hyporheic zone control the dynamics of dissolved inorganic nitrogen (DIN) species and can lead to production of…”
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7
Information‐Theoretic Approach to Bidirectional Scaling
Published in Water resources research (01-07-2018)“…We present an information‐theoretic approach for integration of multiresolution data into multiscale simulations. This general framework is used to upscale and…”
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Probabilistic Forecast of Single‐Phase Flow in Porous Media With Uncertain Properties
Published in Water resources research (01-11-2019)“…Uncertainty about geologic makeup and properties of the subsurface renders inadequate a unique quantitative prediction of flow and transport. Instead, multiple…”
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Method of Distributions for Quantification of Geologic Uncertainty in Flow Simulations
Published in Water resources research (01-07-2020)“…Probabilistic models of subsurface flow and transport are required for risk assessment and reliable decision making under uncertainty. These applications…”
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Probabilistic Forecast of Single–Phase Flow in Porous Media With Uncertain Properties
Published in Water resources research (01-11-2019)“…Uncertainty about geologic makeup and properties of the subsurface renders inadequate a unique quantitative prediction of flow and transport. Instead, multiple…”
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11
Performance analysis of statistical spatial measures for contaminant plume characterization toward risk-based decision making
Published in Water resources research (01-06-2013)“…The spatial distribution of solute concentration in heterogeneous aquifers is extremely complex and variable over scales ranging from a few millimeters to…”
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Information-geometry of physics-informed statistical manifolds and its use in data assimilation
Published 01-03-2021“…The data-aware method of distributions (DA-MD) is a low-dimension data assimilation procedure to forecast the behavior of dynamical systems described by…”
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Learning on dynamic statistical manifolds
Published 07-05-2020“…Hyperbolic balance laws with uncertain (random) parameters and inputs are ubiquitous in science and engineering. Quantification of uncertainty in predictions…”
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14
Dynamics of Data-driven Ambiguity Sets for Hyperbolic Conservation Laws with Uncertain Inputs
Published 14-03-2020“…Ambiguity sets of probability distributions are used to hedge against uncertainty about the true probabilities of random quantities of interest (QoIs). When…”
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