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Full-Text Articles in Engineering
Generalized Linear Inversion Using Tau-P Forward Modeling, Stephen Dade Walker
Generalized Linear Inversion Using Tau-P Forward Modeling, Stephen Dade Walker
Student Dissertations & Theses
The Generalized Linear Inversion (GLI) method is used in conjunction with a tau-p forward model to successfully perform inversions of test and real-data examples. All data examples used are one-dimensional velocity profiles that represent several different cases. The stability of the technique is demonstrated in all the test-data sets. The use of simple models and wel1-control 1ed test data results in a minimum of iterations of the inversion process. Different levels of perturbation of the model and test-data examples are used to reveal insight into the robust nature of the inversion.
Computational Aspects Of Chance‑Constrained Regional Modeling, R. R.A. Cantiller, Richard C. Peralta
Computational Aspects Of Chance‑Constrained Regional Modeling, R. R.A. Cantiller, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
A methodology that incorporates the stochasticity of an aquifer parameter in a chance-constrained steady-state groundwater management model is presented. Results and computational aspects of the modeling effort are discussed.