This thesis presents a methodology for obtaining the optimal design
capacity for sediment yield in multipurpose reservoir design. A stochastic
model is presented for the prediction of sediment yield in a
semi -arid watershed based on rainfall data and watershed characteristics.
Uncertainty stems from each of the random variables used in the model,
namely, rainfall amount, storm duration, runoff, peak flow rate, and
number of events per season.
Using the stochastic sediment yield model for N- seasons, a Bayesian
decision analysis is carried out for a dam site in southern Arizona.
Extensive numerical analyses and simplifying assumptions are made to
facilitate finding the optimal solution. The model has applications in
the planning of reservoirs and dams where the effective lifetime of the
facility may be evaluated in terms of storage capacity and of the effects
of land management on the watershed. Experimental data from the Atterbury
watershed are used to calibrate the model and to evaluate uncertainties
associated with our knowledge of the parameters of the joint
distribution of rainfall and storm duration used in calculating the
sediment yield amount.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/620119 |
| Date | 07 1900 |
| Creators | Smith, Jeffrey Haviland |
| Contributors | Department of Hydrology & Water Resources, The University of Arizona |
| Publisher | Department of Hydrology and Water Resources, University of Arizona (Tucson, AZ) |
| Source Sets | University of Arizona |
| Language | en_US |
| Detected Language | English |
| Type | text, Technical Report |
| Source | Provided by the Department of Hydrology and Water Resources. |
| Rights | Copyright © Arizona Board of Regents |
| Relation | Technical Reports on Hydrology and Water Resources, No. 24 |
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