Storage Capacity for River Reservoirs by Wavelet-Based Generation of Sequent-Peak Algorithm

Author: Aksoy H.

Source: Water Resources Management, Volume 15, Number 6, December 2001 , pp. 423-437(15)

Publisher: Springer

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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.

Keywords: critical period; Haar wavelet; river reservoir; sequent-peak algorithm; storage capacity; wavelet

Language: English

Document Type: Regular paper

Affiliations: 1: Technical University of Istanbul, Civil Engineering Faculty, Division of Hydraulics 80626 Ayazaga, Istanbul, Turkey, e-mail: haksoy@itu.edu.tr, phone : +90 212 2856577, fax : +90 212 2856587

Publication date: 2001-12-01