摘要
本文根据塔里木河"三源一干"1960—2015年径流数据,先采用样本熵的小波阈值去噪方法对径流序列去噪,后利用集合经验模态分解(EEMD)方法,分析河川径流周期演变和变化趋势。结果表明:改进的EEMD方法适用于非线性、非平稳信号径流序列分析,有助于对径流变化特征进行深入探讨。
Wavelet threshold denoising method of sample entropy is firstly adopted for runoff sequence denoising according to runoff data from 1960 to 2015 in‘three rivers and one main stream’of Tarim River in the paper.EEMD method is utilized for analyzing river runoff cycle evolution and change trends.The results show that the improved EEMD method is suitable for nonlinear and non-stationary signal runoff sequence analysis,which is helpful for in-depth discussion of runoff change characteristics.
作者
孙亚兴
SUN Yaxing(Xinjiang ChangYuan Water Science Research Institute Co. ,Ltd. ,Urumqi 830000,China)
出处
《水资源开发与管理》
2019年第2期1-8,共8页
Water Resources Development and Management
基金
水利部公益性行业科研专项(201501059)
国家自然科学基金(51779074
41371052)
关键词
样本熵
小波阈值
集合经验模态分解
河川径流
塔里木河流域
sample entropy
wavelet threshold
set empirical modal decomposition
river runoff
Tarim river basin