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This content will become publicly available on March 19, 2026

Title: A Geometric Algorithm to Identify River Meander Bends:1. Effect of Perspective
Channels form meander bends, whether in rivers or on glaciers, volcanoes, coastlines, or the seafloor. Therefore, isolating meander bends is instrumental in characterizing channel shape and its relationship to the surrounding environment. The common approach of delimiting meander bends using inflection points yields isolated arcs that differ from traditional depictions. This study develops a geometric algorithm for mapping meander bends to bridge this gap. The approach accounts for two perceptual factors: observer viewpoint and the scale of significant deviations in the river path. The channel centerline is divided into three elements: arcs of positive/negative curvature, and effectively straight reaches with dimensionless amplitude (Ast*) below a threshold. Meander bends are formed by connecting reaches between arcs of similar curvature and trimming to where the openness, or viewshed, falls below the value for a straight line (180°). A case study for the Beatton River, Canada, shows the method captures the full extents of meander bends and reproduces a common classification (simple vs. compound) and scaling between wavelength and channel width ( 12wc) from visual interpretation. The number and extents of meander bends change withAst*; 0.1 < Ast* < 1 prevents over‐segmentation without lumping adjacent meander bends. The approach further indicates two mapping solutions that correspond to viewpoints on opposite sides of the river. By harmonizing the geometric definition of a meander bend with its traditional depiction, this approach advances the quantitative analysis of channels across geologic environments. A companion study tests whether the mapped meander bends have characteristic shapes.  more » « less
Award ID(s):
2236666
PAR ID:
10585107
Author(s) / Creator(s):
Publisher / Repository:
Wiley
Date Published:
Journal Name:
Journal of Geophysical Research: Earth Surface
Volume:
130
Issue:
3
ISSN:
2169-9003
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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