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A review of surrogate models and their application to groundwater modeling
The spatially and temporally variable parameters and inputs to complex groundwater
models typically result in long runtimes which hinder comprehensive calibration, sensitivity …
models typically result in long runtimes which hinder comprehensive calibration, sensitivity …
Dimensionality reduction in surrogate modeling: A review of combined methods
Surrogate modeling has been popularized as an alternative to full-scale models in complex
engineering processes such as manufacturing and computer-assisted engineering. The …
engineering processes such as manufacturing and computer-assisted engineering. The …
Towards a comprehensive assessment of model structural adequacy
The past decade has seen significant progress in characterizing uncertainty in
environmental systems models, through statistical treatment of incomplete knowledge …
environmental systems models, through statistical treatment of incomplete knowledge …
A new tool for automatic calibration of the Storm Water Management Model (SWMM)
Abstract The USEPA (United States Environmental Protection Agency) Storm Water
Management Model (SWMM) is one of the most widely used numerical models to simulate …
Management Model (SWMM) is one of the most widely used numerical models to simulate …
Bridging the gap between mechanistic biological models and machine learning surrogates
Mechanistic models have been used for centuries to describe complex interconnected
processes, including biological ones. As the scope of these models has widened, so have …
processes, including biological ones. As the scope of these models has widened, so have …
Managing uncertainty in integrated environmental modelling: The UncertWeb framework
Web-based distributed modelling architectures are gaining increasing recognition as
potentially useful tools to build holistic environmental models, combining individual …
potentially useful tools to build holistic environmental models, combining individual …
Calibration of hydrological models on hydrologically unusual events
SK Singh, A Bárdossy - Advances in Water Resources, 2012 - Elsevier
The length of the observation period used for model calibration has a great influence on the
identification of the model parameters. In this contribution it is shown that a relatively small …
identification of the model parameters. In this contribution it is shown that a relatively small …
MT3DMS: Model use, calibration, and validation
MT3DMS is a three-dimensional multi-species solute transport model for solving advection,
dispersion, and chemical reactions of contaminants in saturated groundwater flow systems …
dispersion, and chemical reactions of contaminants in saturated groundwater flow systems …
Assessment of parametric uncertainty for groundwater reactive transport modeling
The validity of using Gaussian assumptions for model residuals in uncertainty quantification
of a groundwater reactive transport model was evaluated in this study. Least squares …
of a groundwater reactive transport model was evaluated in this study. Least squares …
Simultaneous identification of groundwater pollution source spatial–temporal characteristics and hydraulic parameters based on deep regularization neural network …
Z Pan, W Lu, Z Chang - Journal of Hydrology, 2021 - Elsevier
The prerequisites for groundwater pollution remediation include providing accurate
identification of hydraulic parameters of the contaminated site and retrospecting pollution …
identification of hydraulic parameters of the contaminated site and retrospecting pollution …