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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-...

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Detalles Bibliográficos
Autores principales: Balister, Paul, Balogh, József, Bertuzzo, Enrico, Bollobás, Béla, Caldarelli, Guido, Maritan, Amos, Mastrandrea, Rossana, Morris, Robert, Rinaldo, Andrea
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
Descripción
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.