---

作 者 ：钟晔^1，2;金昌杰¹;裴铁璠¹

期 刊 ：应用生态学报 2006年 17卷 11期 页码：2132-2135

关键词：杂；

摘 要 ：河网自相似性是水文尺度研究的重要方向，统计自相似研究不同尺度下河网参数概率分布函数的相似性.从统计自相似的角度，推导出河网参数、全河网分布和单级河道分布的关系，并用杂谷脑河DEM进行验证;对所得数据进行KolmogorovSmirnov双样本检验，结果显示，推导结论与实际数据吻合，说明整个河网和单级河道之间是复杂的层叠关系，而不是简单的比例关系.

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”.

---