基于小波消噪和符号动力学的径流变化复杂性研究
Study on the complexity of runoff change based on the dis-noising of wavelet transform and symbolic dynamics
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摘要: 提出了基于小波消噪的符号动力学途径研究径流变化的复杂度。对径流序列进行小波消噪,运用Lempel-Ziv算法计算其复杂度,以长江、黄河流域为例定量分析年径流复杂性。为研究水文系统的复杂性提供了工具。研究表明:①黄河流域径流变化比长江流域复杂;②黄河流域年径流的平均复杂度为8.3,从上游到下游的复杂性变化趋势不明显;③从时间纵向看,黄河年径流变化的复杂性并未发生显著的变化。Abstract: The study approach of runoff change complexity based on the de-noising of wavelet transform from symbolic dynamics viewpoint is present in the paper.First, the runoff sequences are dis-noised by the wavelet transform and the noise is filtered.Then the complexity of runoff change is calculated with the Lempel-Ziv algorithm.Finally some cases studies of the Yangtze River and the Yellow River are investigated.The results are as following: (1) Runoff change complexity in the Yellow River is higher than that of the Yangtze River.(2) The mean of runoff change complexity in the Yellow River basin is 8.3, and the trend of complexity from upstream to downstream has no evidence change.(3) Runoff change complexity in the Yellow River basin has no evidence change from time axial direction.