title: [Statistical self-similarity of channel networks in Zagunao River catchments].
abstract: Self-similarity of channel networks is an important field in hydrologic scaling research, while the statistical self-similarity of channel networks is to study the similarity of the probabilistic distribution functions of network parameters at different scales. In this paper, the relationships between the entire network and the streams of the same Horton-Strahler order were derived in terms of the probabilistic distribution of network parameters, and empirical tests were performed by using the DEM data of Zagunao River catchments. The results of Kolmogorov-Smirnov Two-Sample test showed that the derived equations fitted the empirical data well, suggesting that the relationships between the entire network and the streams of the same Horton-Strahler order were of complicated cascade rather than "simple scaling".
authors.affiliation: Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China. zhongye@mails.gscas.ac.cn
authors.forename: Ye
authors.initials: Y
authors.lastname: Zhong
authors.forename: Changjie
authors.initials: C
authors.lastname: Jin
authors.forename: Tiefan
authors.initials: T
authors.lastname: Pei
mesh_terms: D003198:Computer Simulation; D004784:Environmental Monitoring / Q000706:statistics & numerical data*; D005618:Fresh Water / Q000032:analysis*; D015233:Models, Statistical; D011336:Probability; D011891:Rain; D045483:Rivers