The estimation of the enzyme parameters K, and V,,,,, from initial velocity data, or of analogous parameters in binding or transport experiments may be accomplished by transformation of the data, or by a direct weighted least-squares fit. Although the latter makes better use of the data, the method
Estimation of groundwater flow parameters using least squares
β Scribed by K.R. Bailey; B.G. Fitzpatrick
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 924 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0895-7177
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β¦ Synopsis
In
this paper, we present several variations on the least squares approach of estimating steady-state flow parameters in a groundwater model. We test the approach on numerically generated data, and also apply it to field data from the MADE (MAcro Dispersion Experiment) data set obtained at Columbus AFB, Mississippi. Our results are based on a least squares cost functional with a finite difference scheme used to solve the steady-state flow equation (Darcy's Law). An implicit filtering optimization algorithm is implemented in parallel using PVM.
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