Document Type

Article

Journal/Book Title/Conference

Journal of Geophysical Research: Earth Surface

Author ORCID Identifier

Mitchell Donovan https://orcid.org/0000-0001-9635-6500

Patrick Belmont https://orcid.org/0000-0002-8244-3854

Zoltán Sylvester https://orcid.org/0000-0002-4890-4063

Volume

126

Issue

3

Publisher

Wiley-Blackwell Publishing, Inc.

Publication Date

2-24-2021

Keywords

curvature, geomorphology, remote sensing, river evolution, river migration, sediment supply

First Page

1

Last Page

20

Abstract

River meander migration plays a key role in the unsteady “conveyor belt” of sediment redistribution from source to sink areas. The ubiquity of river meandering is evident from remotely sensed imagery, which has allowed for long-term, high-resolution studies of river channel change and form-process relationships. Empirical, experimental, and theoretical research approaches have described two distinct relationships between channel curvature and river channel migration rates. In this study, we employ a novel application of time-series algorithms to calculate migration rates and channel curvature at sub-meander bend length scales using 6 decades of aerial imagery spanning 205 km of the Minnesota River and Root River, Minnesota, USA. Results from the Minnesota River provide the first empirical evidence demonstrating how migration-curvature relations break down for rivers with low sediment supply, which is supported by the Root River data set. This not only highlights the importance of sediment supply as a driver of river migration, but also supports a simple means to detect river reaches lacking sediment supply. Furthermore, results from both rivers demonstrate that sub-meander bend measurement scales are most appropriate for studying channel migration rates and further indicate that a quasi-linear relationship—rather than the more commonly inferred peaked relationship—exists between channel curvature and migration rates. The highest migration rates are associated with the highest measured channel curvatures in our data set, after accounting for a spatial lag of channel widths. These findings are consistent with flume experiments and empirical data across diverse geologic and climatic environments.

Comments

© 2021. American Geophysical Union. All Rights Reserved.

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