Inverse models: A necessary next step in ground-water modeling
Links
- More information: Publisher Index Page (via DOI)
- Download citation as: RIS | Dublin Core
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 |
Google Analytic Metrics | Metrics page |