The reconstruction of groundwater parameters from head data in an unconfined aquifer

Authors:
Ian Knowles;Aimin Yan
Affiliations:
Department of Mathematics, University of Alabama at Birmingham, Birmingham, AL 35294, USA;Department of Radiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
Venue:
Journal of Computational and Applied Mathematics
Year:
2007

Citing 5
Cited 0

General Software for Two-Dimensional Nonlinear Partial Differential Equations

ACM Transactions on Mathematical Software (TOMS)
Numerical Recipes in Pascal: The Art of Scientific Computing

Numerical Recipes in Pascal: The Art of Scientific Computing
A User''s Guide to PVM Parallel Virtual Machine

A User''s Guide to PVM Parallel Virtual Machine
On the recovery of multiple flow parameters from transient head data

Journal of Computational and Applied Mathematics
On the recovery of transport parameters in groundwater modelling

Journal of Computational and Applied Mathematics - Special issue: On the occasion of the eightieth birthday of prof. W.M. Everitt

Quantified Score

Hi-index	7.29

Visualization

Abstract

The estimation of groundwater flow parameters from head measurements and other ancillary data is fundamental to the process of modelling a groundwater system. In an unconfined aquifer, the problem is more complex because the governing equation for the well heads, the Boussinesq equation, is non-linear. We consider here a new method that allows for the simultaneous computation of the unconfined groundwater parameters as the unique minimum of a convex functional.