Computing Representative Networks for Braided Rivers

Publication date

2017-06-20

Authors

Kleinhans, M.G.ORCID 0000-0002-9484-1673ISNI 0000000114640007
van Kreveld, MarcORCID 0000-0001-8208-3468ISNI 0000000116732175
Ophelders, Tim
Sonke, Willem
Speckmann, Bettina
Verbeek, Kevin

Editors

Aronov, Boris
Katz, Matthew J.

Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

cc_by

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.

Keywords

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

Citation

Kleinhans, M, van Kreveld, M J, Ophelders, T, Sonke, W, Speckmann, B & Verbeek, K 2017, Computing Representative Networks for Braided Rivers. in B Aronov & M J Katz (eds), 33rd International Symposium on Computational Geometry (SoCG 2017). Leibniz International Proceedings in Informatics (LIPIcs), vol. 77, Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, pp. 48:1-48:16. https://doi.org/10.4230/LIPIcs.SoCG.2017.48