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An Uncertainty-Quantification Machine Learning Framework for Data-Driven Three-Dimensional Mineral Prospectivity Map**
The uncertainty inherent in three-dimensional (3D) mineral prospectivity map** (MPM) encompasses (a) mineral system conceptual model uncertainty...
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Global sensitivity analysis and uncertainty quantification for design parameters of shallow geothermal systems
To improve the design process of geothermal systems, it is important to know which design parameters particularly affect the performance of the...
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Quantification of Approaching Wind Uncertainty in Flow over Realistic Plant Canopies
Numerical simulations and in-situ measurements represent two important and synergistic pillars for the study of flow and transport in plant canopies....
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Bayesian Framework for Uncertainty Quantification and Bias Correction of Projected Streamflow in Climate Change Impact Assessment
The study focuses on the uncertainty quantification and bias correction of hydrological projections using Bayesian applications. The climate change...
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Uncertainty Quantification in Tomographic Inversion of Near-Surface Seismic Refraction Data
Understanding the near-surface structure of the Earth requires accurate prediction of physical properties of the subsurface, such as velocity...
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Uncertainty Quantification in Geostatistical Modelling of Saltwater Intrusion at a Coastal Aquifer System
Groundwater resources in Mediterranean coastal aquifers are under several threats including saltwater intrusion. This situation is exacerbated by the...
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Two sources of uncertainty in estimating tephra volumes from isopachs: perspectives and quantification
Calculating the tephra volume is important for estimating eruption intensity and magnitude. Traditionally, tephra volumes are estimated by...
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Reliability analysis and uncertainty quantification of clay and sand slopes stability evaluated by Fellenius and Bishop’s simplified methods
Slope stabilities are mainly designed using the conventional design approach (CDA), where the limit equilibrium methods (LEMs) are performed....
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Uncertainty Quantification of Rainfall-runoff Simulations Using the Copula-based Bayesian Processor: Impacts of Seasonality, Copula Selection and Correlation Coefficient
The outputs of Rainfall-runoff models are inherently uncertain and quantifying the associated uncertainty is crucial for water resources management...
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A Framework for Uncertainty Quantification in One-Dimensional Plant Canopy Flow
Although the fidelity of computational-fluid-dynamics (CFD) models for the study of flow in plant canopies has significantly increased over the past...
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Spatial uncertainty quantification of desiccation cracks in clays with limit state-adjusted linear elasticity
Periodic cycles of flood and drought are aggravated by global warming, thereby inducing critical desiccation cracks in soils. However, the estimation...
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Elevating the possibilities of meshless groundwater flow modeling: a developed approach for parameter estimation and uncertainty quantification
Groundwater modeling is often associated with uncertainties due to incomplete knowledge of the subsurface system or uncertainties arising from...
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gPCE Uncertainty Quantification Modeling of LiDAR for Bathymetric and Earth Science Applications
Most LiDARs, though precise, are vulnerable to position and pointing errors, and while fidelity of location/pointing solutions can be extremely high,...
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Uncertainty quantification of large-eddy simulation results of riverine flows: a field and numerical study
We present large-eddy simulations (LES) of riverine flow in a study reach in the Sacramento River, California. The riverbed bathymetry was surveyed...
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Rigid transformations for stabilized lower dimensional space to support subsurface uncertainty quantification and interpretation
Subsurface datasets commonly are big data, i.e., they meet big data criteria, such as large data volume, significant feature variety, high sampling...
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UAS-based map** of the July 3, 2019, ballistics density distribution on the W flank of Stromboli with uncertainty quantification
Stromboli is a volcanic island in a persistent state of activity, located off the northern coast of Sicily. The paroxysms have been the most powerful...
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Systematic Uncertainty Quantification of First-Polarity-Based Moment Tensor Inversion Due to Sparse Coverage of Sensor Arrays in Laboratory Acoustic Emission Monitoring
Moment tensor inversion (MTI) can be utilized in Acoustic Emission (AE) monitoring to determine source mechanisms of AE events and hence provide...
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Uncertainty quantification of inflow on passive scalar dispersion in an urban environment
Risk assessment, city planning, and emergency response are a few examples of potential applications of numerical simulations of scalar dispersion in...
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A Bayesian Approach for In-Situ Stress Prediction and Uncertainty Quantification for Subsurface Engineering
Many subsurface engineering applications require accurate knowledge of the in-situ state of stress for their safe design and operation. Existing...
