多沙河流水沙变化特征小波分析

发布时间：2018-03-19 11:00

本文选题：小波变换　切入点：水沙序列　出处：《长江科学院院报》2017年05期 　论文类型：期刊论文

【摘要】：为了给多沙水库运行调度提供依据,降低水沙序列长度和随机性的影响,将小波变换应用于研究流域径流与含沙量的变化特性。采用db3小波对标准化径流与含沙量序列进行多分辨率分析,研究径流与含沙量变化的趋势性;选用复Morlet小波绘制出小波方差图,分析径流过程与含沙量过程存在的周期性。以崖羊山水电站所在的李仙江流域为例,针对电站坝址断面的月平均流量与含沙量序列进行小波分析,从低频重构序列的结果中可以看出该流域径流与含沙量的变化趋势;并结合当地的降雨量与水土保持状况分析,表明结果是合理的。根据小波方差图可以看出,崖羊山水电站所在流域径流过程与含沙量过程存在非常接近的显著周期,均为2 a左右,且两者变化周期具有同步性。研究结果表明小波分析是研究非平稳随机时间序列的有效方法。
[Abstract]:In order to provide the basis for the operation and operation of the reservoir, and to reduce the influence of the length and randomness of the water and sediment sequence, Wavelet transform is applied to study the variation characteristics of runoff and sediment concentration in river basin. The trend of runoff and sediment content change is studied by using db3 wavelet to analyze standardized runoff and sediment content series. Using complex Morlet wavelet to draw the variance map of wavelet, the periodicity of runoff process and sediment content process is analyzed. The Lixianjiang River basin, where Ya-Yangshan Hydropower Station is located, is taken as an example. According to the series of monthly average discharge and sediment content of dam section of hydropower station, the variation trend of runoff and sediment content in the basin can be seen from the results of low frequency reconstruction series, and the analysis of local rainfall and soil and water conservation condition is also made. The results show that the results are reasonable. It can be seen from the wavelet variance diagram that the runoff process and sediment concentration process of Yayangshan Hydropower Station are very close to each other, which are about 2 years old. The results show that wavelet analysis is an effective method for the study of non-stationary random time series.
【作者单位】：河海大学水利水电学院;
【基金】：国家“十二五”科技支撑计划项目(2013BAB06B01)
【分类号】：P333

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