
As water erodes a landscape, streams form and channellize the surficial flow. In time, streams become highly ramified networks that can extend over a continent. Here, we combine physical reasoning, mathematical analysis and field observations to understand a basic feature of network growth: the bifurcation of a growing stream. We suggest a deterministic bifurcation rule arising from a relationship between the position of the tip in the network and the local shape of the water table. Next, we show that, when a stream bifurcates, competition between the stream and branches selects a special bifurcation angleα=2π/5. We confirm this prediction by measuring several thousand bifurcation angles in a kilometre-scale network fed by groundwater. In addition to providing insight into the growth of river networks, this result presents river networks as a physical manifestation of a classical mathematical problem: interface growth in a harmonic field. In the final sections, we combine these results to develop and explore a one-parameter model of network growth. The model predicts the development of logarithmic spirals. We find similar features in the kilometre-scale network.
Hydrology, hydrography, oceanography, Dynamical systems in fluid mechanics, oceanography and meteorology, Rivers, Flows in porous media; filtration; seepage, Soil and rock mechanics, Drainage, Water, Models, Theoretical, Groundwater, Fluid-solid interactions (including aero- and hydro-elasticity, porosity, etc.), [PHYS] Physics [physics]
Hydrology, hydrography, oceanography, Dynamical systems in fluid mechanics, oceanography and meteorology, Rivers, Flows in porous media; filtration; seepage, Soil and rock mechanics, Drainage, Water, Models, Theoretical, Groundwater, Fluid-solid interactions (including aero- and hydro-elasticity, porosity, etc.), [PHYS] Physics [physics]
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
