Identification of hydrological and sediment variation types in the Qingjian River Basin based on network graph analysis
This paper discusses the variations in the types of hydrological and sediment elements in the Qingjian River basin.The objective of this study was to analyze the data on the hydrological characteristics obtained from the Zichang Hydrological Station between 1959 and 2010 and that from the Yanchuan Hydrological Station from 1954 to 2010 in the Qingjian River basin.Based on the analysis of the basic statistical characteristics of the related data, using the classic network construction method involving limited penetrable visibility graphs, five limited penetrable visual network graphs were constructed on a time scale, considering the annual rainfall, annual runoff, annual sediment transport, maximum flow, and maximum sediment concentration.A community analysis of the network was also conducted.The study found that the similarity in hydrological characteristic vectors among similar key nodes was highly consistent with community partitioning.The geometric analysis ideas proposed in this paper can help identify potential mutation points in the evolution of hydrological time series.Certain analysis methods presented in this paper lay a foundation for future research on the features of frequently occurring patterns in hydrological time series over the years.From the perspective of network evolution, this study provides a new reference for analyzing the evolving relations of hydrological characteristics in the Qingjian River basin, for predicting the development trend of water resources in the Qingjian River basin and designing warning signs for extreme events.This paper provides insights for understanding the evolving patterns of hydrological and sediment elements in the sediment producing areas in the tributaries of the Yellow River in the Loess Plateau.
Qingjian River basin Eigenvalues Complex networks Degree distribution
Jie Liu Hongling Liu Qiang Tang Xinjie Li
Research Center of Non-linear Science at Wuhan Textile University, Wuhan City, Hubei Province, 43007 Yellow River Institute of Hydraulic Research, Yellow River Xiaolangdi Reservoir Research Center, Zhe
国际会议
法国巴黎
英文
251-260
2019-03-13（万方平台首次上网日期，不代表论文的发表时间）