摘要
为揭示年径流在不同时间尺度下的变化规律及径流序列的演变模式,采用希尔伯特-黄变换(HHT)法分析黄河上游的天然年径流序列,就可分解得到不同尺度下的固有模态函数;再结合重标度极差(R/S)法分析了各阶固有模态函数及天然径流量,得到赫斯特指数(Hurst)和分维数,进而探索了河川径流时间序列的演变趋势、分形特征等。结果发现,黄河上游1930～1986年的天然年径流量具有自相似性和持续的长程相关性,且Hurst指数与周期具有正相关关系。
In order to study different time-scale change law and evolution mode of annual runoff serial, natural annual runoff serial in the upper reaches of the Yellow River are decomposed by using Hilbert-Huang transform, and various scale intrinsic mode functions are obtained. And then each intrinsic mode function and natural annual runoff are analyzed by using rescaled range. At the same time, their Hurst index and fractal dimension are computed. Finally, the change trend and fractal character are further researched for runoff time series. The results illustrate that natural annual runoff in the upper reaches of the Yellow River from 1930 to 1986 is of self-similarity, persistence long rang correlation and positive correlation between Hurst index and period.
出处
《水电能源科学》
北大核心
2013年第7期9-12,共4页
Water Resources and Power
基金
国家自然科学基金资助项目(10901018)
山西省高等学校优秀青年学术带头人支持计划基金资助项目
关键词
HHT变换
R
S分析法
年径流序列
黄河上游
Hilbert-Huang transform
R/S analysis
annual runoff series
the upper reaches of the Yellow River
