Title: Statistical physics of transportation networks
1Statistical physics of transportation networks
- Amos Maritan, Andrea Rinaldo
Cieplak, Colaiori, Damuth, Flammini, Giacometti,
Marsili, Rodriguez-Iturbe, Swift
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(2002) PNAS 99, 10506 (2002) Physica A340, 749
(2004) Water Res. Res. 42, W06D07 (2006)
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3Digital elevation map ? Spanning Tree
4Upstream length
5Scheidegger model equal weight for all directed
networks
Huber, Swift, Takayasu .....
6Peano Basin
Random spanning trees (all trees have equal
weight)
Coniglio, Dhar, Duplantier, Majumdar, Manna, Sire
..
7Dynamics of optimal channel networkexcellent
accord with data
Only able to access local minima
Rinaldo Rodriguez-Iturbe
8Topology of optimal network
2 Electrical network 1 Random directed trees
½ River networks 0 Random trees
9Finite size scaling verified in observational
data
Maritan, Meakin, Rothman ..
10Finite size scaling (contd.)
Scheidegger model H1/2 Mean field H1 Random
trees dl 5/4 Peano Basin H dl 1
11Universality classes of optimal channel networks
in D 2
- 3 universality classes none of which agrees with
observational data -
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13Disorder is irrelevant
14Sculpting of a fractal river basin
- Landscape evolution equation
- erosion ? to local flow A(x,t) (no flow - no
erosion) - reparametrization invariance
- small gradient expansion
Somfai Sander, Ball Sinclair
15Non-local, non-linear equation amenable to
exact solution in one dimension
- Consequences in two dimensions
- Slope discharge relationship
- Quantitative accord with observational data
- Local minima of optimal channel networks are
stationary solutions of erosion equation - Two disparate time scales connectivity of the
spanning tree established early, soil height
acquires stable profile much later
16Data ( More Recent Data) on Kleibers law
Brown West, Physics Today, 2004
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