Bootstrap position analysis for forecasting low flow frequency
Journal of Water Resources Planning and Management
By: Gary D. Tasker and P. Dunne
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Abstract
A method of random resampling of residuals from stochastic models is used to generate a large number of 12-month-long traces of natural monthly runoff to be used in a position analysis model for a water-supply storage and delivery system. Position analysis uses the traces to forecast the likelihood of specified outcomes such as reservoir levels falling below a specified level or streamflows falling below statutory passing flows conditioned on the current reservoir levels and streamflows. The advantages of this resampling scheme, called bootstrap position analysis, are that it does not rely on the unverifiable assumption of normality, fewer parameters need to be estimated directly from the data, and accounting for parameter uncertainty is easily done. For a given set of operating rules and water-use requirements for a system, water managers can use such a model as a decision-making tool to evaluate different operating rules. ?? ASCE,.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Bootstrap position analysis for forecasting low flow frequency |
| Series title | Journal of Water Resources Planning and Management |
| Volume | 123 |
| Issue | 6 |
| Year Published | 1997 |
| Language | English |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Journal of Water Resources Planning and Management |
| First page | 359 |
| Last page | 367 |
| Google Analytic Metrics | Metrics page |