Abstract
Selection of a storage capacity for the design of a river reservoir is made traditionally by the Rippl mass curve method or the sequent-peak algorithm. Both methods offer a single value of storage capacity to a water resources engineer. Synthetic hydrology approach by which long synthetic flow data are generated is also commonly used. In the present study a hybrid technique combining these two approaches is developed. The technique is based on wavelets, which are functions of zero-mean and finite variance, and it generates synthetic sequent-peak algorithms. Haar wavelet is used in the generation scheme. The generation scheme is applicable to non-skewed sequences. The application of the technique to a 64-year long annual flow data suggests that the technique can be a useful tool in the selection of a storage capacity for the design of a river reservoir.
| Original language | English |
|---|---|
| Pages (from-to) | 423-437 |
| Number of pages | 15 |
| Journal | Water Resources Management |
| Volume | 15 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Dec 2001 |
Funding
The author would like to thank the reviewers for their constructive comments. This study was performed when the author was a post-doctoral researcher at the University of California at Davis. His stay was financially supported by the Technical University of Istanbul (ITU), the Scientific and Technical Research Council of Turkey (TUBITAK) and the University of California at Davis (UCD). These supports are greatly appreciated.
| Funders | Funder number |
|---|---|
| TUBITAK | |
| University of California, Davis | |
| International Technological University | |
| Türkiye Bilimsel ve Teknolojik Araştirma Kurumu | |
| Istanbul Teknik Üniversitesi |
Keywords
- Critical period
- Haar wavelet
- River reservoir
- Sequent-peak algorithm
- Storage capacity
- Wavelet
