摘要
为了探讨河流天然径流的演变规律,引入模糊模式识别的理论和方法对流量序列进行研究,给出了基于模糊聚类的径流丰枯特性分析的方法;在对径流丰、中、枯聚类基础上提出了基于模糊模式识别的多维丰枯周期特性分析方法。以嘉陵江支流白龙江下游的三磊坝水文站多年月平均流量数据为例,得出了该站径流各年的丰枯特点、丰枯周期及相应的隶属度。该方法的多维径流特性分析结果与分析尺度和数据维数有关。
In order to study evolution of natural runoff, this paper introduces fuzzy pattern recognition theory and method to research runoff series, presents the method of analyzing runoff characteristic with clustering of high, middle and low levels of runoff. This paper also gives the method of analyzing multidimensional high and low states periodicity of natural runoff based on fuzzy recognition arithmetic. The runoff characteristic, its periodicity and subjective of high and low levels of annul runoff from monthly average nmoff of Sanleiba hydrology station in lower Bailongjiang River, a branch of Jialingjiang River are giver as example. The results of multidimensional nmoff characteristic analysis are related to analysis scale and data dimension.
出处
《四川大学学报（工程科学版）》
EI
CAS
CSCD
北大核心
2006年第3期29-33,共5页
Journal of Sichuan University (Engineering Science Edition)
基金
国家自然科学基金资助项目(40271024)
国家重点基础研究资助项目(2003CB415205)
关键词
径流特性
丰枯分析
模糊聚类分析
模糊模式识别
runoff characteristic
analysis of low and high runoff
fuzzy cluster analysis
fuzzy pattern recognition
