Evidence map›Paper›PMID 29078329›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Entropy and optimality in river deltas.

Alejandro Tejedor, Anthony Longjas, Douglas A Edmonds, Ilya Zaliapin, Tryphon T Georgiou, Andrea Rinaldo, Efi Foufoula-Georgiou

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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  7. Chaos in a simple model of a delta network.Proceedings of the National Academy of Sciences of the United States of America · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Alejandro TejedorDepartment of Civil and Environmental Engineering, University of California, Irvine, CA 92697.
Anthony LongjasDepartment of Civil and Environmental Engineering, University of California, Irvine, CA 92697.ORCID 0000-0003-0256-7820
Douglas A EdmondsDepartment of Earth and Atmospheric Sciences, Indiana University, Bloomington, IN 47405.ORCID 0000-0003-0161-1754
Ilya ZaliapinDepartment of Mathematics and Statistics, University of Nevada, Reno, NV 89557.
Tryphon T GeorgiouDepartment of Mechanical and Aerospace Engineering, University of California, Irvine, CA 92697.
Andrea RinaldoLaboratory of Ecohydrology, Ecole Polytechnique Federale Lausanne, 1015 Lausanne, Switzerland; andrea.rinaldo@epfl.ch efi@uci.edu.
Efi Foufoula-GeorgiouDepartment of Civil and Environmental Engineering, University of California, Irvine, CA 92697; andrea.rinaldo@epfl.ch efi@uci.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The form and function of river deltas is intricately linked to the evolving structure of their channel networks, which controls how effectively deltas are nourished with sediments and nutrients. Understanding the coevolution of deltaic channels and their flux organization is crucial for guiding maintenance strategies of these highly stressed systems from a range of anthropogenic activities. To date, however, a unified theory explaining how deltas self-organize to distribute water and sediment up to the shoreline remains elusive. Here, we provide evidence for an optimality principle underlying the self-organized partition of fluxes in delta channel networks. By introducing a suitable nonlocal entropy rate ([Formula: see text]) and by analyzing field and simulated deltas, we suggest that delta networks achieve configurations that maximize the diversity of water and sediment flux delivery to the shoreline. We thus suggest that prograding deltas attain dynamically accessible optima of flux distributions on their channel network topologies, thus effectively decoupling evolutionary time scales of geomorphology and hydrology. When interpreted in terms of delta resilience, high

Indexed as

information theoryresilient deltasself-organizationspectral graph theory

Identifiers

PMID29078329
PMCPMC5676905

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.