| Abstract: | Sensitivities of solute concentration to parameters associated with first-order chemical decay, boundary conditions, initial conditions, and multilayer transport are examined. A sensitivity is a change in solute concentration resulting from a change in a model parameter. Minimum information required in regression on chemical data for the estimation of model parameters by regression is expressed in terms of sensitivities. Nonlinear regression models were tested on sets of noiseless observations from known models that exceeded the minimum sensitivity information requirements. Results demonstrate that the regression models consistently converged to the correct parameters when the initial sets of parameter values substantially deviated from the correct parameters. -from Authors |
| Genre: | Article |
| ProdID: | 70014811 |
| Citation Author: | Knopman, D. S.; Voss, C. I. |
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| Citation End Page: | 238 |
| Citation Issue: | 2 |
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| Citation Language: | English |
| Citation Larger Work Title: | Water Resources Research |
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| Citation Number Of Pages: | 14 |
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| Citation Search Results Text: | Further comments on sensitivities, parameter estimation, and sampling design in one-dimensional analysis of solute transport in porous media; 1988; Article; Journal; Water Resources Research; Knopman, D. S.; Voss, C. I. |
| Citation Start Page: | 225 |
| Citation Volume: | 24 |
| Citation Year: | 1988 |
| Type: | citation/reference |
| Text: | Further comments on sensitivities, parameter estimation, and sampling design in one-dimensional analysis of solute transport in porous media; 1988; Article; Journal; Water Resources Research; Knopman, D. S.; Voss, C. I. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| Date Other: | Fri, 1 Jan 1988 00:00 -0600 |
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