A Procedure for Combining Improved Correlated Sampling Methods and a Resampling Strategy to Generate a Multi-Site Conditioned Streamflow Process
Quansen Wang,
Jianzhong Zhou (),
Kangdi Huang,
Ling Dai,
Benjun Jia,
Lu Chen and
Hui Qin
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Quansen Wang: Huazhong University of Science and Technology
Jianzhong Zhou: Huazhong University of Science and Technology
Kangdi Huang: Huazhong University of Science and Technology
Ling Dai: Huazhong University of Science and Technology
Benjun Jia: Huazhong University of Science and Technology
Lu Chen: Huazhong University of Science and Technology
Hui Qin: Huazhong University of Science and Technology
Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2021, vol. 35, issue 3, No 15, 1027 pages
Abstract:
Abstract In this study, a new method is developed to generate multi-site streamflow series. First, a correlated sampling method based on spectral decomposition is employed to simulate a large number of individual years of multi-site streamflow series. Then, combined with historical design flood data, flood characteristic series considering historical floods are generated. Finally, a subset of the streamflow series corresponding to these flood characteristics is selected from the pool of multi-site simulated streamflow series. The proposed model is applied to multi-site streamflow simulations in the upper Yangtze River basin. Experimental results show that the simulated data not only ensure the fundamental statistical characteristics of the observed data, but also provide good preservation of high order self-dependent, cross-dependent at finer and coarser time scales with any marginal distributions and any correlation structures. In addition, the simulated extreme situations are more reliable for risk and vulnerability analysis of multi-reservoir joint operation systems due to the consideration of the historical design flood data.
Keywords: Multi-site streamflow series generation; Spectral decomposition; Correlated sampling method; Historical design flood (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11269-021-02769-8
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