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从湍流到景观:有界复杂系统中的对数平均剖面

From turbulence to landscapes: Logarithmic mean profiles in bounded complex systems.

作者信息

Hooshyar Milad, Bonetti Sara, Singh Arvind, Foufoula-Georgiou Efi, Porporato Amilcare

机构信息

Princeton Environmental Institute and Princeton Institute for International and Regional Studies, Princeton University, Princeton, New Jersey 08544, USA.

Institute for Sustainable Resources, University College London, London WC1H 0NN, United Kingdom and Department of Environmental Systems Science, ETH Zurich, Zurich 8092, Switzerland.

出版信息

Phys Rev E. 2020 Sep;102(3-1):033107. doi: 10.1103/PhysRevE.102.033107.

Abstract

We show that similarly to the logarithmic mean-velocity profile in wall-bounded turbulence, the landscape topography presents an intermediate region with a logarithmic mean-elevation profile. Such profiles are present in complex topographies with channel branching and fractal river networks resulting from model simulation, controlled laboratory experiments, and natural landscapes. Dimensional and self-similarity arguments are used to corroborate this finding. We also tested the presence of logarithmic profiles in discrete, minimalist models of networks obtained from optimality principles (optimal channel networks) and directed percolation. The emergence of self-similar scaling appears as a robust outcome in dynamically different, but spatially bounded, complex systems, as a dimensional consequence of length-scale independence.

摘要

我们表明,与壁面湍流中的对数平均速度剖面类似,地形地貌呈现出一个具有对数平均海拔剖面的中间区域。在由模型模拟、受控实验室实验和自然景观产生的具有河道分支和分形河网的复杂地形中存在此类剖面。采用量纲分析和自相似性论证来证实这一发现。我们还在从最优性原理(最优河道网络)和定向渗流获得的离散简约网络模型中测试了对数剖面的存在。自相似标度的出现是动态不同但空间有界的复杂系统中的一个稳健结果,是长度尺度独立性的量纲结果。

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