English

Hack's law in a drainage network model: A Brownian web approach

Probability 2016-06-29 v4

Abstract

Hack [Studies of longitudinal stream profiles in Virginia and Maryland (1957). Report], while studying the drainage system in the Shenandoah valley and the adjacent mountains of Virginia, observed a power law relation la0.6l\sim a^{0.6} between the length ll of a stream from its source to a divide and the area aa of the basin that collects the precipitation contributing to the stream as tributaries. We study the tributary structure of Howard's drainage network model of headward growth and branching studied by Gangopadhyay, Roy and Sarkar [Ann. Appl. Probab. 14 (2004) 1242-1266]. We show that the exponent of Hack's law is 2/32/3 for Howard's model. Our study is based on a scaling of the process whereby the limit of the watershed area of a stream is area of a Brownian excursion process. To obtain this, we define a dual of the model and show that under diffusive scaling, both the original network and its dual converge jointly to the standard Brownian web and its dual.

Cite

@article{arxiv.1501.01382,
  title  = {Hack's law in a drainage network model: A Brownian web approach},
  author = {Rahul Roy and Kumarjit Saha and Anish Sarkar},
  journal= {arXiv preprint arXiv:1501.01382},
  year   = {2016}
}

Comments

Published at http://dx.doi.org/10.1214/15-AAP1134 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)

R2 v1 2026-06-22T07:53:13.199Z