| Autor: |
JIN Zheng, ZHANG Xing-nan, XIA Da-zhong, SHU Wei-min, HUANG Yu-kai |
| Předmět: |
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| Zdroj: |
China Rural Water & Hydropower; 2022, Issue 3, p48-53, 6p |
| Abstrakt: |
There is a serious "sawtooth" problem in the backward inflow flow of the Three Gorges Reservoir, which affects the real-time operation of the reservoir. The data smoothing algorithm can be used to handle the error effectively. In this paper, the five-point cubic smoothing algorithm and the discrete wavelet threshold denoising algorithm are selected to study by comparing the smoothing algorithms, and compared with the three-point smoothing algorithm commonly used in practical work. The smoothing effect is evaluated by constructing the hydrological element index and smoothness index. The results show that the smoothing effect of Db7 wavelet threshold denoising is better than other wavelets in the best comprehensive application conditions of Db wavelet and Sym wavelet. Compared with the three-point smoothing method and the five-point cubic smoothing method, the Db7 wavelet threshold denoising method can fully retain the flood peak, flood volume and peak occurrence time of the original sequence, and eliminate more sawteeth of the original inflow flow. The study shows that the method of discrete wavelet threshold denoising can be used to smooth the noise of the backthrust inflow of the Three Gorges Reservoir. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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