摘要
从重构的径流时间序列相空间轨迹中提取反应水文系统状态变化信息的参数——相对关联距离熵,根据相对关联距离熵的变化来辨识水文系统状态的跳跃,识别出水文变异点。将该方法应用于东江流域的博罗站50 a实测逐月径流序列中,较准确的识别变异发生的时间,检验性能优于传统方法,特别适用于具有多变点的时间序列。通过变异分析表明,东江流域博罗站在1972年发生水文变异,其径流在主要受降雨影响的同时,愈来愈受到水利工程的影响。
The hydrological aberrance point occurred when the system changed from one state to another state.Based on the runoff time series of phase space reconstruction,the relative correlation distance entropy（Hd） was presented for identifying hydrological system status.Hd reflects the distribution and shape of the attractor in reconstructed phase space.It can represent some of intrinsic properties of the system.By analyzing the variation of Hd,the hydrological aberrance point can be recognized.The data on Monthly runoff of 50 years at Boluo Hydrologic Station were applied for a case study.The results showed that the method given in this paper is feasible for identifying the hydrological aberrance point,especially for the time series with numerous common aberrance points.The aberrance point at Buluo station occurred in 1972.The runoff is mainly affected by rainfall and also affected by hydraulic engineering activities.
出处
《中山大学学报（自然科学版）》
CAS
CSCD
北大核心
2011年第4期121-126,共6页
Acta Scientiarum Naturalium Universitatis Sunyatseni
基金
国家自然科学基金资助项目(50839005)
国家重点基础研究发展计划(973计划)专题基金资助项目(2010CB428405)
关键词
变异
识别
相空间重构
吸引子
相对关联距离熵
variability
recognition
phase space reconstruction
attractor
relative correlation distance entropy
