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Assimilation of Hydrological Monitoring Data in a Slope Stability Model with Ensemble Kalman Filter

https://doi.org/10.2139/ssrn.5340351
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Data assimilation for Bayesian updating of predicted embankment response using monitoring data
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Bayesian back analysis of unsaturated hydraulic parameters for rainfall-induced slope failure: A review
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Probabilistic back analysis based on Bayesian and multi-output support vector machine for a high cut rock slope
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Predicting soil settlement with quantified uncertainties by using ensemble Kalman filtering
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Sequential probabilistic back analyses of spatially varying soil parameters and slope reliability prediction under rainfall
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Kinetic granular temperature and its measurement using speckle visibility spectroscopy
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A numerical investigation of the stability of unsaturated soil slopes subjected to transient seepage
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Analytical solutions for one‐dimensional, transient infiltration toward the water table in homogeneous and layered soils
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Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics
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Hysteresis and Uncertainty in Soil Water-Retention Curve Parameters
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Reduction of slope stability uncertainty based on hydraulic measurement via inverse analysis
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Probabilistic calibration of a coupled hydro-mechanical slope stability model with integration of multiple observations
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On the use of different data assimilation schemes in a fully coupled hydro-mechanical slope stability analysis
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A New Approach to Linear Filtering and Prediction Problems
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Analysis of the Ensemble Kalman Filter for Inverse Problems
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Embankment on sludge: predicted and observed performances
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Characterization of geotechnical variability
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Nonlinearity in Data Assimilation Applications: A Practical Method for Analysis
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A Closed‐form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils
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