Computing Representative Networks for Braided Rivers

Maarten Kleinhans, M.J. van Kreveld, Tim Ophelders, Willem Sonke, Bettina Speckmann, Kevin Verbeek

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Drainage networks on terrains have been studied extensively from an algorithmic perspective. However, in drainage networks water flow cannot bifurcate and hence they do not model braided rivers (multiple channels which split and join, separated by sediment bars). We initiate the algorithmic study of braided rivers by employing the descending quasi Morse-Smale complex on the river bed (a polyhedral terrain), and extending it with a certain ordering of bars from the one river bank to the other. This allows us to compute a graph that models a representative channel network, consisting of lowest paths. To ensure that channels in this network are sufficiently different we define a sand function that represents the volume of sediment separating them. We show that in general the problem of computing a maximum network of non-crossing channels which are delta-different from each other (as measured by the sand function) is NP-hard. However, using our ordering between the river banks, we can compute a maximum delta-different network that respects this order in polynomial time. We implemented our approach and applied it to simulated and real-world braided rivers.
Original languageEnglish
Title of host publication33rd International Symposium on Computational Geometry (SoCG 2017)
EditorsBoris Aronov, Matthew J. Katz
PublisherSchloss Dagstuhl - Leibniz-Zentrum fuer Informatik
Pages48:1-48:16
Number of pages16
ISBN (Print)978-3-95977-038-5
DOIs
Publication statusPublished - 20 Jun 2017

Publication series

NameLeibniz International Proceedings in Informatics (LIPIcs)
PublisherSchloss Dagstuhl--Leibniz-Zentrum fuer Informatik
Volume77
ISSN (Print)1868-8969

Keywords

  • braided rivers
  • Morse-Smale complex
  • persistence
  • network extraction
  • polyhedral terrain

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