Cargando…
River landscapes and optimal channel networks
We study tree structures termed optimal channel networks (OCNs) that minimize the total gravitational energy loss in the system, an exact property of steady-state landscape configurations that prove dynamically accessible and strikingly similar to natural forms. Here, we show that every OCN is a so-...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042144/ https://www.ncbi.nlm.nih.gov/pubmed/29891709 http://dx.doi.org/10.1073/pnas.1804484115 |
Sumario: | We study tree structures termed optimal channel networks (OCNs) that minimize the total gravitational energy loss in the system, an exact property of steady-state landscape configurations that prove dynamically accessible and strikingly similar to natural forms. Here, we show that every OCN is a so-called natural river tree, in the sense that there exists a height function such that the flow directions are always directed along steepest descent. We also study the natural river trees in an arbitrary graph in terms of forbidden substructures, which we call [Formula: see text]-path obstacles, and OCNs on a [Formula: see text]-dimensional lattice, improving earlier results by determining the minimum energy up to a constant factor for every [Formula: see text]. Results extend our capabilities in environmental statistical mechanics. |
---|