Unknown

Dataset Information

0

River landscapes and optimal channel networks.


ABSTRACT: 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 k-path obstacles, and OCNs on a d-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.

SUBMITTER: Balister P 

PROVIDER: S-EPMC6042144 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

River landscapes and optimal channel networks.

Balister Paul P   Balogh József J   Bertuzzo Enrico E   Bollobás Béla B   Caldarelli Guido G   Maritan Amos A   Mastrandrea Rossana R   Morris Robert R   Rinaldo Andrea A  

Proceedings of the National Academy of Sciences of the United States of America 20180611 26


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 arbitr  ...[more]

Similar Datasets

| S-EPMC7375137 | biostudies-literature
| S-EPMC6304061 | biostudies-literature
| S-EPMC6733942 | biostudies-literature
| S-EPMC6042068 | biostudies-other
| S-EPMC7486703 | biostudies-literature
| S-EPMC4303988 | biostudies-literature
| S-EPMC5691044 | biostudies-literature
| S-EPMC4668062 | biostudies-literature
| S-EPMC2575234 | biostudies-literature
| S-EPMC8980036 | biostudies-literature