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A Surrogate Modelling Approach Based on Nonlinear Dimension Reduction for Uncertainty Quantification in Groundwater Flow Models

In this paper, we develop a surrogate modelling approach for capturing the output field (e.g. the pressure head) from groundwater flow models involving a stochastic input field (e.g. the hydraulic conductivity). We use a Karhunen–Loève expansion for a log-normally distributed input field and apply m...

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Detalles Bibliográficos
Autores principales: Gadd, C., Xing, W., Nezhad, M. Mousavi, Shah, A. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6390720/
https://www.ncbi.nlm.nih.gov/pubmed/30872876
http://dx.doi.org/10.1007/s11242-018-1065-7