Hooshyar Milad, Anand Shashank, Porporato Amilcare
Princeton Environmental Institute and Princeton Institute for International and Regional Studies, Princeton University, Princeton, NJ, USA.
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA.
Proc Math Phys Eng Sci. 2020 Jul;476(2239):20190775. doi: 10.1098/rspa.2019.0775. Epub 2020 Jul 1.
Landscapes evolve towards surfaces with complex networks of channels and ridges in response to climatic and tectonic forcing. Here, we analyse variational principles giving rise to minimalist models of landscape evolution as a system of partial differential equations that capture the essential dynamics of sediment and water balances. Our results show that in the absence of diffusive soil transport the steady-state surface extremizes the average domain elevation. Depending on the exponent of the specific drainage area in the erosion term, the critical surfaces are either minima (0 < < 1) or maxima ( > 1), with = 1 corresponding to a saddle point. We establish a connection between landscape evolution models and optimal channel networks and elucidate the role of diffusion in the governing variational principles.
地貌会因气候和构造作用力而演变成具有复杂渠道和山脊网络的表面。在此,我们分析了变分原理,这些原理产生了作为偏微分方程系统的地貌演化极简模型,该模型捕捉了沉积物和水平衡的基本动态。我们的结果表明,在没有扩散性土壤运移的情况下,稳态表面使平均区域海拔达到极值。根据侵蚀项中特定排水面积的指数,临界表面要么是最小值(0 < < 1),要么是最大值( > 1),其中 = 1 对应于鞍点。我们建立了地貌演化模型与最优渠道网络之间的联系,并阐明了扩散在支配变分原理中的作用。