The existence and stability of a universality class associated with local minimal energy landscapes is investigated. Using extensive numerical simulations, we first study the dependence on a parameter γ of a partial differential equation, which was proposed to describe the evolution of a rugged landscape toward a local minimum of the dissipated energy. We then compare the results with those obtained by an evolution scheme based on a variational principle (the optimal channel networks). It is found that both models yield qualitatively similar river patterns and similar dependences on γ. However, the aggregation mechanism is strongly dependent on the value of γ. A careful analysis suggests that scaling behaviors may depend weakly on both γ an...
A new landscape evolution model is proposed which is composed of the shallow water equations for the...
We consider a coarse-graining of high-dimensional potential energy landscapes based upon persistence...
Optimal channel networks (OCNs) are dendritic structures obtained by minimizing the local and global...
The existence and stability of a universality class associated with local minimal energy landscapes ...
Moving from the observation that drainage network configurations minimizing; total energy dissipatio...
A nonlinear model is studied which describes the evolution of a landscape under the effects of erosi...
We analyze the optimal channel network model for river networks Using both analytical and numerical ...
This paper reviews theoretical and observational material on form and function of natural networks a...
A cellular model introduced for the evolution of the fluvial landscape is revisited using extensive ...
We study tree structures termed optimal channel networks (OCNs) that minimize the total gravitationa...
River networks represent a perfect example of a physical phenomenon that can be described by means ...
River networks constitute dissipative systems with many spatial degrees of freedom. Previous work by...
River networks’ universal fractal structure not only defines their hydrology and connectivity, but h...
International audienceWe consider a coarse-graining of high-dimensional potential energy landscapes ...
Organisms inhabiting river systems contend with downstream biased flow in a complex tree-like networ...
A new landscape evolution model is proposed which is composed of the shallow water equations for the...
We consider a coarse-graining of high-dimensional potential energy landscapes based upon persistence...
Optimal channel networks (OCNs) are dendritic structures obtained by minimizing the local and global...
The existence and stability of a universality class associated with local minimal energy landscapes ...
Moving from the observation that drainage network configurations minimizing; total energy dissipatio...
A nonlinear model is studied which describes the evolution of a landscape under the effects of erosi...
We analyze the optimal channel network model for river networks Using both analytical and numerical ...
This paper reviews theoretical and observational material on form and function of natural networks a...
A cellular model introduced for the evolution of the fluvial landscape is revisited using extensive ...
We study tree structures termed optimal channel networks (OCNs) that minimize the total gravitationa...
River networks represent a perfect example of a physical phenomenon that can be described by means ...
River networks constitute dissipative systems with many spatial degrees of freedom. Previous work by...
River networks’ universal fractal structure not only defines their hydrology and connectivity, but h...
International audienceWe consider a coarse-graining of high-dimensional potential energy landscapes ...
Organisms inhabiting river systems contend with downstream biased flow in a complex tree-like networ...
A new landscape evolution model is proposed which is composed of the shallow water equations for the...
We consider a coarse-graining of high-dimensional potential energy landscapes based upon persistence...
Optimal channel networks (OCNs) are dendritic structures obtained by minimizing the local and global...