Watersheds in disordered media

TL;DR

This paper reviews the concept of watersheds in disordered landscapes, exploring their geometrical, physical, and statistical properties, and highlighting their significance in geomorphology, hydrology, and related fields.

Contribution

It introduces a connection between watersheds and statistical physics of disordered systems, and presents results from artificial landscapes that match real-world data.

Findings

Watershed lines exhibit scale-invariant properties.

Artificial landscapes with long-range correlations replicate real watershed statistics.

Watershed geometry influences hydrological and political boundaries.

Abstract

What is the best way to divide a rugged landscape? Since ancient times, watersheds separating adjacent water systems that flow, for example, toward different seas, have been used to delimit boundaries. Interestingly, serious and even tense border disputes between countries have relied on the subtle geometrical properties of these tortuous lines. For instance, slight and even anthropogenic modifications of landscapes can produce large changes in a watershed, and the effects can be highly nonlocal. Although the watershed concept arises naturally in geomorphology, where it plays a fundamental role in water management, landslide, and flood prevention, it also has important applications in seemingly unrelated fields such as image processing and medicine. Despite the far-reaching consequences of the scaling properties on watershed-related hydrological and political issues, it was only recently that a more profound and revealing connection has been disclosed between the concept of watershed and statistical physics of disordered systems. This review initially surveys the origin and definition of a watershed line in a geomorphological framework to subsequently introduce its basic geometrical and physical properties. Results on statistical properties of watersheds obtained from artificial model landscapes generated with long-range correlations are presented and shown to be in good qualitative and quantitative agreement with real landscapes.