Anand Shashank Kumar, Hooshyar Milad, Martin Nordbotten Jan, Porporato Amilcare
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA.
Princeton Environmental Institute and Princeton Institute for International and Regional Studies, Princeton University, Princeton, NJ, USA.
R Soc Open Sci. 2021 Feb 17;8(2):201407. doi: 10.1098/rsos.201407.
Numerous complex systems, both natural and artificial, are characterized by the presence of intertwined supply and/or drainage networks. Here, we present a minimalist model of such coevolving networks in a spatially continuous domain, where the obtained networks can be interpreted as a part of either the counter-flowing drainage or co-flowing supply and drainage mechanisms. The model consists of three coupled, nonlinear partial differential equations that describe spatial density patterns of input and output materials by modifying a mediating scalar field, on which supply and drainage networks are carved. In the two-dimensional case, the scalar field can be viewed as the elevation of a hypothetical landscape, of which supply and drainage networks are ridges and valleys, respectively. In the three-dimensional case, the scalar field serves the role of a chemical signal, according to which vascularization of the supply and drainage networks occurs above a critical 'erosion' strength. The steady-state solutions are presented as a function of non-dimensional channelization indices for both materials. The spatial patterns of the emerging networks are classified within the branched and congested extreme regimes, within which the resulting networks are characterized based on the absolute as well as the relative values of two non-dimensional indices.
许多复杂系统,包括自然系统和人工系统,其特征是存在相互交织的供应和/或排水网络。在此,我们提出了一个在空间连续域中此类共同演化网络的极简模型,其中获得的网络可被解释为逆流排水或同流供应与排水机制的一部分。该模型由三个耦合的非线性偏微分方程组成,这些方程通过修改一个中介标量场来描述输入和输出物质的空间密度模式,供应和排水网络就刻在这个标量场上。在二维情况下,标量场可被视为一个假设景观的海拔高度,其中供应和排水网络分别为山脊和山谷。在三维情况下,标量场起到化学信号的作用,根据该信号,供应和排水网络在临界“侵蚀”强度以上发生血管化。稳态解表示为两种物质的无量纲渠化指数的函数。新兴网络的空间模式在分支和拥堵的极端状态内进行分类,在这些状态内,根据两个无量纲指数的绝对值和相对值对所得网络进行特征描述。