
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.
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)
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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