摘要
针对小清河航道流量序列所具有的随机性和波动性,应用小波变换法,通过对时变指数Hurst的计算,进行了航道流量时间序列的复杂特性分析和探索。结果表明:小清河航道上游流量序列服从分形分布,具有较强的分形特性和长程相关性,可为内河航道水资源探索利用提供一种新的思路和方法。
Refering to the Xiaoqing river channel complex stochastic and undulatory property of its runoff time series, we use the wavelet transform method to analyze and explore the complex property of the runoff time series through calculating its time varying Hurst index. The results indicate that the runoff time series in the upstream of the Xiaoqing river follow a fractal distribution, with a strong persistence and long-term dependence. This provides a new idea and method for the utilization of water resources.
出处
《水运工程》
北大核心
2014年第7期115-118,共4页
Port & Waterway Engineering
关键词
流量序列
小波变换法
HURST指数
分形特性
runoff time series
wavelet transform method
Hurst index
fractal characteristics