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A minimalist model for coevolving supply and drainage networks.
Shashank Kumar Anand1, Milad Hooshyar2, Jan Martin Nordbotten3
1Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA.
We developed a minimalist model for coevolving supply and drainage networks, applicable to natural and artificial systems. This model reveals how network patterns emerge based on material flow and landscape properties.
Area of Science:
- Complex Systems Science
- Network Theory
- Mathematical Modeling
Background:
- Many natural and artificial systems feature intricate supply and/or drainage networks.
- Understanding the coevolution of these networks is crucial for various scientific disciplines.
Purpose of the Study:
- To present a minimalist model for coevolving supply and drainage networks in a continuous domain.
- To analyze network formation based on material flow and mediating scalar fields.
Main Methods:
- Developed a model using three coupled, nonlinear partial differential equations.
- Simulated spatial density patterns of input and output materials.
- Analyzed steady-state solutions as a function of non-dimensional channelization indices.
Main Results:
- The model generates networks interpretable as counter-flowing drainage or co-flowing supply and drainage mechanisms.
- In 2D, networks form on a landscape's ridges (supply) and valleys (drainage).
- In 3D, networks vascularize based on a chemical signal and 'erosion' strength, forming branched or congested patterns.
Conclusions:
- The minimalist model effectively captures the emergence of complex supply and drainage networks.
- Network spatial patterns can be classified and characterized by non-dimensional indices, offering insights into system organization.
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