摘要
基于样本熵方法,分析了阿城水文站的长序列月径流资料,研究了阿城站月径流序列复杂性的时间分布及动态变化特征。结果表明:阿城站月径流序列复杂性动态变化较大并具有一定周期性,人类生产活动是造成月径流序列复杂性的主要驱动因子,径流滑动平均值与相应的样本熵值之间存在着负相关关系。样本熵方法可以反映月径流状态的变化,所需数据量小,具有敏感性和稳定性。研究成果揭示了该流域径流序列的复杂性,为径流预测研究奠定了基础,为当地合理利用河流资源提供了科学依据。
It is analyzed for long series monthly runoff in Acheng Hydrological Station based on sample entropy in the paper,its complicated temporal distribution and dynamic characteristics are studied.The result shows that the complicated dynamic characteristics change with a certain periodicity and human activities are the main drive to result in the complexility,and there is a negative correlation between sliding average runoff and sample entropy in Acheng Hydrological Station.Sample entropy mothed can reflect monthly runoff chacateristics and a small number of data are required.The method is characterstic of sensitivity and stability.The study reveals the comlexility of runoff series,lays the foundation for runoff forcasting and provides the scientific basis for river resources utilization in the catchment.
出处
《黑龙江水利科技》
2013年第1期110-112,共3页
Heilongjiang Hydraulic Science and Technology
关键词
样本熵
径流
复杂性
阿城站
sample entropy
runoff
compleixlity
Acheng Hydrological Station
