Surrogate strategies are used widely for uncertainty quantification of groundwater models in
order to improve computational efficiency. However, their application to dynamic multiphase …

We propose an efficient Monte Carlo simulation method to address the multivariate
uncertainties in acoustic–vibration interaction systems. The deep neural network acts as a …

Methods and guidelines for develo** and using mathematical models Turn to Effective
Groundwater Model Calibration for a set of methods and guidelines that can help produce …

The knowledge of aquifer systems, their geological setting, their structure, and subsequent
modeling is highly uncertain and is usually faced through Monte Carlo-based methods in …

An efficient method for uncertainty analysis of flow in random porous media is explored in
this study, on the basis of combination of Karhunen‐Loeve expansion and probabilistic …

Understanding the energy cost structure of wastewater treatment plants is a relevant topic for
plant managers due to the high energy costs and significant saving potentials. Currently …

Subsurface flow problems usually involve some degree of uncertainty. Consequently,
uncertainty quantification is commonly necessary for subsurface flow prediction. In this work …

Debris flows are solid‐liquid mixtures originating in the upper part of mountain basins and
routing downstream along incised channels. When the channel incises an open fan, the …

This study focuses on development and application of a new modeling approach for a
comprehensive flood hazard assessment along protected river reaches considering dike …

Dam safety simulation is crucial to design and improve emergency plans to mitigate the
flood disaster risk associated with break events, particularly in the areas located …