A Bayesian assessment of an approximate model for unconfined water flow in sloping layered porous media

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A Bayesian assessment of an approximate model for unconfined water flow in sloping layered porous media

The prediction of water table height in unconfined layered porous media is a difficult modelling problem that typically requires numerical simulation. This paper proposes an analytical model to approximate the exact solution based on a steady-state Dupuit–Forchheimer analysis. The key contribution i...

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Bibliographic Details
Main Authors:	Chiachío, Juan, Chiachío, Manuel, Sankararaman, Shankar, Prescott, Darren
Format:	Article
Published:	Springer 2018
Subjects:	Dupuit–Forchheimer analysis; Layered porous media; Bayesian hypothesis testing; Railway track drainage
Online Access:	https://eprints.nottingham.ac.uk/52480/

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