4.5 Article

Channel Migration in Experimental River Networks Mapped by Particle Image Velocimetry

Journal

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1029/2021JF006300

Keywords

channel migration; river networks; river deltas; particle image velocimetry

Funding

  1. NSF [EAR 1719492, EAR 1719670]
  2. University of Minnesota George and Orpha Gibson Fund

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We present a method to measure channel migration in deltaic river networks using particle image velocimetry (PIV). By tracking channels moving on the delta surface using PIV, we can accurately capture channel-bank movements. Unlike other methods, PIV focuses specifically on channel migration, excluding changes associated with channel avulsions and overbank flow. Experimental results support recent models and indicate that channel migration rates can displace channels a distance comparable to their width in a short time.
Deltaic river networks naturally reorganize as interconnected channels move to redistribute water, sediment, and nutrients across the delta plain. Network change is documented in decades of satellite imagery and laboratory experiments, but our ability to measure and understand channel movements is limited: existing methods are difficult to employ efficiently and struggle to distinguish between gradual movements (channel migration) and abrupt shifts in river course (channel avulsions). Here, we present a method to extract channel migration from plan-view imagery using particle image velocimetry (PIV). Although originally designed to track particles moving in a fluid, PIV can be adapted to track channels moving on the delta surface, based on input estimates of channel width, migration timescale, and maps of the wet-dry interface. Results for a delta experiment show that PIV-derived vector fields accurately capture channel-bank movements, as compared to manually drawn maps and an independent image-registration technique. Unlike other methods, PIV targets the process of channel migration, excluding changes associated with channel avulsions and overbank flow. PIV-derived migration rates from the experiment span an order of magnitude and are reduced under lower sediment supply and during sea-level rise, supporting recent models. Together, results indicate that PIV offers a fast and reliable way to measure channel migration in river networks, that channel migration rates under non-cohesive conditions can displace channels a distance comparable to their width in the time needed to aggrade similar to 10% of the channel depth, and that migration direction is similar to 60% orthogonal to mean flow direction and similar to 40% flow-parallel overall.

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