基于样本熵理论的长江干流径流序列复杂性分析

Analysis of complexity of runoff series based on sample entropy in Yangtze River

基于样本熵理论,选取宜昌站、汉口站和大通站为长江干流主要水文控制站,对3站的径流序列进行分析,研究长江干流径流序列复杂性的空间分布及动态变化特征。结果表明:长江干流径流序列复杂性具有明显的空间差异性,从上游到下游总体上呈现增加趋势。各站的样本熵值与年径流量均呈现负相关关系。宜昌站和大通站径流序列复杂性处于不断增加趋势,汉口站21世纪以来呈现增加趋势。

Based on the sample entropy, this study analyzed the spatial distribution and dynamic change characteristics of the complexity of runoff series using long-term daily runoff data from the Yichang, Hankou, and Datong hydrological stations, which were determined to be the main hydrological control stations in the Yangtze River. The results showed that the complexity of runoff series showed obvious spatial differences and an increasing trend from upstream to downstream in the Yangtze River. There was a negative correlation relationship between the annual runoff and the sample entropy value at every station. The complexity of runoff series at the Yichang and Datong stations showed a continuous increasing trend, and an increasing trend after 2000 at the Hankou Station.