{"title":"Power law between the apparent drainage density and the pruning area","authors":"Soohyun Yang, Kwanghun Choi, K. Paik","doi":"10.5194/hess-28-3119-2024","DOIUrl":null,"url":null,"abstract":"Abstract. Self-similar structures of river networks have been quantified as having diverse scaling laws. Among these, we investigated a power function relationship between the apparent drainage density ρa and the pruning area Ap, with an exponent η. We analytically derived the relationship between η and other known scaling exponents of fractal river networks. The analysis of 14 real river networks covering a diverse range of climate conditions and free-flow connectivity levels supports our derivation. We further linked η with non-integer fractal dimensions found for river networks. Synthesis of our findings through the lens of fractal dimensions provides an insight that the exponent η has fundamental roots in the fractal dimension of the whole river network organization.\n","PeriodicalId":507846,"journal":{"name":"Hydrology and Earth System Sciences","volume":"3 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrology and Earth System Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/hess-28-3119-2024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract. Self-similar structures of river networks have been quantified as having diverse scaling laws. Among these, we investigated a power function relationship between the apparent drainage density ρa and the pruning area Ap, with an exponent η. We analytically derived the relationship between η and other known scaling exponents of fractal river networks. The analysis of 14 real river networks covering a diverse range of climate conditions and free-flow connectivity levels supports our derivation. We further linked η with non-integer fractal dimensions found for river networks. Synthesis of our findings through the lens of fractal dimensions provides an insight that the exponent η has fundamental roots in the fractal dimension of the whole river network organization.
摘要河网的自相似结构被量化为具有不同的缩放规律。其中,我们研究了表观排水密度ρa与修剪面积Ap之间的幂函数关系,其指数为η。我们分析得出了 η 与其他已知分形河网缩放指数之间的关系。对 14 个真实河网的分析支持了我们的推导,这些河网涵盖了不同的气候条件和自由流动连接水平。我们进一步将η与河网中发现的非整数分形维数联系起来。从分形维度的角度来综合我们的研究结果,可以发现指数η与整个河网组织的分形维度有着根本的联系。