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zbMATH Open
Article . 2020
Data sources: zbMATH Open
https://dx.doi.org/10.48550/ar...
Article . 2019
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Variational analysis of landscape elevation and drainage networks

Authors: Milad Hooshyar; Shashank Anand; Amilcare Porporato;

Variational analysis of landscape elevation and drainage networks

Abstract

Landscapes evolve towards surfaces with complex networks of channels and ridges in response to climatic and tectonic forcing. Here, we analyse variational principles giving rise to minimalist models of landscape evolution as a system of partial differential equations that capture the essential dynamics of sediment and water balances. Our results show that in the absence of diffusive soil transport the steady-state surface extremizes the average domain elevation. Depending on the exponentmof the specific drainage area in the erosion term, the critical surfaces are either minima (0 < m < 1) or maxima (m > 1), withm = 1 corresponding to a saddle point. We establish a connection between landscape evolution models and optimal channel networks and elucidate the role of diffusion in the governing variational principles.

Keywords

Hydrology, hydrography, oceanography, Quasilinear parabolic equations, geophysics, FOS: Physical sciences, landscape, PDEs in connection with geophysics, Geophysics (physics.geo-ph), Physics - Geophysics, optimality, Mathematics - Analysis of PDEs, Optimization and Control (math.OC), network, FOS: Mathematics, applied mathematics, complexity, Mathematics - Optimization and Control, Analysis of PDEs (math.AP)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
Green
bronze