Inverse models: A necessary next step in ground-water modeling
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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.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Inverse models: A necessary next step in ground-water modeling |
| Series title | Groundwater |
| DOI | 10.1111/j.1745-6584.1997.tb00082.x |
| Volume | 35 |
| Issue | 2 |
| Year Published | 1997 |
| Language | English |
| Publisher | National Groundwater Association |
| Description | 11 p. |
| First page | 250 |
| Last page | 260 |
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