COMPARISON OF DIFFERENT DAILY STREAMFLOW SERIES IN US AND CHINA, UNDER A VIEWPOINT OF COMPLEX NETWORKS

Abstract

The daily streamflow series of three rivers are analyzed from the view of complex networks, i.e. the Yangtze River in China, the Umpqua River and the Ocmulgee River in the United States. We construct networks from these series by using the visibility graph algorithm respectively. The degree distribution and accumulative degree distribution are investigated. We find that the degree distribution of the Umpqua River series network, the Ocumlgee River series network and the subsequence of the Yangtze River series network can be better fitted by stretched exponential distribution (SED), although the degree distribution curves of these networks in a log–log plot have a linear part. Moreover, the slope α of the linear part and parameters μ in SED have significant meaning in the research of streamflow series properties.