The analysis of a family of physically-based landscape models leads to the analysis of two stochastic processes that seem to determine the shape and structure of river basins. The partial differential equation determine the scaling invariances of the landscape through these processes.
The models bridge the gap between the stochastic and deterministic approach to landscape evolution because they produce noise by sediment divergences seeded by instabilities in the water flow. The first process is a channelization process corresponding to Brownian motion of the initial slopes. It is driven by white noise and characterized by the spatial roughness coefficient of 0.5. The second process, driven by colored noise, is a maturation coefficient of 0.5. The second process, driven by colored noise, is a maturation process where the landscape moves closer to a mature landscape determined by separable solutions. This process is characterized by the spatial roughness coefficient of 0.75 and is analogous to an interface driven through random media with quenched noise.
Various other scaling laws, such
as Hack's law and the Law of Exceedence Probabilities, are shown to result
from the two scalings, and Horton's Laws for a river network are derived
from the first one.