摘要
为揭示径流时间序列的复杂动力学特征和非线性规律,借助可视图方法将径流时间序列转化为复杂网络,利用网络拓扑分析理论对网络的点强度、中间中心性、平均路径长度、聚类系数等参数进行分析,探明径流时间序列的网络拓扑特征与模态。采集北江流域石角站和赣江流域外洲站的水文数据,对北江与赣江径流时间序列的网络拓扑模态进行验证分析。结果表明:北江与赣江径流时间序列网络的聚类系数均较大而平均路径长度均较小,2个网络均具有小世界特性和无标度网络特性,中心性大的节点均对应年中月径流,北江与赣江的径流时间序列非线性动力特征及拓扑模态基本相似。从新的维度刻画径流时间序列的结构特征以及内在动力学特性,更有利于揭示径流时间序列的多维度非线性特征。
In order to reveal the complex dynamic characteristics and nonlinear laws of runoff time series,the runoff time series was transformed into a complex network with the help of visualization method,and the net-work topology analysis theory was used to analyse the network parameters such as point strength,betweenness centrality,average path length,clustering coefficient,etc.,so as to find out the network topology characteris-tics and modes of runoff time series.The hydrological data of Shijiao Station in Beijiang River Basin and Waizhou Station in Ganjiang River Basin were collected to verify and analyse the network topological modes of runoff time series of Beijiang River and Ganjiang River.The results show that the clustering coefficients of Beijiang River and Ganjiang River runoff time series networks are both large and the average path lengths are small,and the networks have the characteristics of small world and scale-free network.The nodes with high centrality all correspond to the monthly runoffs in the middle of the year,and the nonlinear dynamic characteristics and topological modes of runoff time series of Beijiang River and Ganjiang River are similar.In this paper,the structural and internal dynamic characteristics of runoff time series are described from a new dimension,which is more conducive to revealing the multi-dimensional nonlinear characteristics of runoff time series.
作者
晋良海
杨应柳
颜克胜
陈颖
李钰涵
杜发兴
JIN Lianghai;YANG Yingliu;YAN Kesheng;CHEN Ying;LI Yuhan;DU Faxing(College of Hydraulic&.Environmental Engineering,China Three Gorges University,Yichang 443002,China;Hubei Key Laboratory of Hydropower Engineering Construction and Management,China Three Gorges University,Yichang 443002,China;Hubei Safety&Environment Science and Technology Co.,Ltd.,Yichang 443002,China;School of Management Science and Real Estate,Chongqing University,Chongqing 400045,China)
出处
《武汉大学学报（工学版）》
CAS
CSCD
北大核心
2024年第3期261-266,301,共7页
Engineering Journal of Wuhan University
基金
国家自然科学基金项目(编号:52179136,51878385)
教育部人文社会科学研究规划基金项目(编号:21YJA630038)。
关键词
径流时间序列
可视图
非线性
拓扑模态
runoff time series
visibility graph
nonlinearity
topological mode
