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Geometry and Topology of Estuary and Braided River Channel Networks Automatically Extracted From Topographic Data

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Abstract

Automatic extraction of channel networks from topography in systems with multiple interconnected channels, like braided rivers and estuaries, remains a major challenge in hydrology and geomorphology. Representing channelized systems as networks provides a mathematical framework for analyzing transport and geomorphology. In this paper, we introduce a mathematically rigorous methodology and software for extracting channel network topology and geometry from digital elevation models (DEMs) and analyze such channel networks in estuaries and braided rivers. Channels are represented as network links, while channel confluences and bifurcations are represented as network nodes. We analyze and compare DEMs from the field and those generated by numerical modeling. We use a metric called the volume parameter that characterizes the volume of deposited material separating channels to quantify the volume of reworkable sediment deposited between links, which is a measure for the spatial scale associated with each network link. Scale asymmetry is observed in most links downstream of bifurcations, indicating geometric asymmetry and bifurcation stability. The length of links relative to system size scales with volume parameter value to the power of 0.24–0.35, while the number of links decreases and does not exhibit power law behavior. Link depth distributions indicate that the estuaries studied tend to organize around a deep main channel that exists at the largest scale while braided rivers have channel depths that are more evenly distributed across scales. The methods and results presented establish a benchmark for quantifying the topology and geometry of multichannel networks from DEMs with a new automatic extraction tool.

Original languageEnglish
Article numbere2019JF005206
Pages (from-to)1-19
Number of pages19
JournalJournal of Geophysical Research: Earth Surface
Volume125
Issue number1
DOIs
Publication statusPublished - Jan 2020

Funding

LowPath has been implemented in the software package TTGA (Topological Tools for Geomorphological Analysis), available as open-source software online (at https://github.com/tue-aga/ttgawith DOI https://doi.org/10.5281/zenodo.3518174). Experiments were performed with TTGA version 1.3.6, which has no significant functional differences to the currently available version 1.4.0. Input images for each data set are available at Hiatt (). Preprocessing and postprocessing scripts written for Matlab are available in an open-access data repository at https://figshare.com/articles/Exampled-Input-Files-for-LowPath/10324529(Hiatt,). We thank the Editor A.?J.?F. Hoitink, Associate Editor C. Ancey, reviewer C. Paola, and one anonymous reviewer for providing valuable comments that helped improve this manuscript. In theoretical computer science, it is customary to list authors in alphabetical order. Therefore, in the reference (Kleinhans et al.,), the author order does not reflect the contributions of the authors. M.?Hiatt and M.G.?Kleinhans were supported by an ERC Consolidator Grant (Agreement 647570) awarded to M.?G.?Kleinhans. T.?Ophelders, W.?Sonke, and B.?Speckmann were supported by the Netherlands Organisation for Scientific Research (NWO) under Project 639.023.208 (Vici granted to B.?Speckmann), K.?Verbeek under Project 639.021.541 (Veni granted to K.?Verbeek), and W.?M.?van Dijk under project 016.140.316 (Vici granted to M.?G.?Kleinhans). Authors contributed to the following portions of the project: conceptualization (M.?H., W.?S., E.?A.?A., M.?vK., T.?O., K.?V., B.?S., and M.?G.?K.), formal analysis (M.?H., W.?S., W.?M.?vD., T., and J.?V.), funding acquisition (B.?S. and M.?G.?K.), methodology (M.?H., W.?S., and W.?M.?vD.), software (W.?S., T.?O., and K.?V.), supervision (B.?S. and M.?G.?K.), and manuscript preparation (M.?H., W.?S., W.?M.?vD., and M.?G.?K.).

Keywords

  • braided rivers
  • channel network extraction
  • estuaries
  • estuarine geomorphology
  • fluvial geomorphology
  • network analysis

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