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USGS · 70019945

Inverse models: A necessary next step in ground-water modeling

E. P. Poeter·M. C. Hill
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Abstract

Inverse models using, for example, nonlinear least-squares regression, provide capabilities that help modelers take full advantage of the insight available from ground-water models. However, lack of information about the requirements and benefits of inverse models is an obstacle to their widespread use. This paper presents a simple ground-water flow problem to illustrate the requirements and benefits of the nonlinear least-squares regression method of inverse modeling and discusses how these attributes apply to field problems. The benefits of inverse modeling include: (1) expedited determination of best fit parameter values; (2) quantification of the (a) quality of calibration, (b) data shortcomings and needs, and (c) confidence limits on parameter estimates and predictions; and (3) identification of issues that are easily overlooked during nonautomated calibration.

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E. P. Poeter, M. C. Hill. 2005-08-04. Inverse models: A necessary next step in ground-water modeling. https://doi.org/10.1111/j.1745-6584.1997.tb00082.x

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