Modeling planform evolution of a mud‐dominated meandering river: Quinn River, Nevada, USA. Issue 10 (20th May 2014)

• Record Type: Journal Article
• Authors: Matsubara, Yo; Howard, Alan D.
• Is Part Of: Earth surface processes and landforms. Volume 39:Issue 10(2014)
• Page Start: 1365
• Page End: 1377
• Publication Date: 2014-05-20
• Subjects: Geomorphology -- Periodicals; 551.4
• DOI: 10.1002/esp.3588
• Languages: English
• ISSNs: 0197-9337

Abstract

<abstract abstract-type="main"> <title>ABSTRACT</title> <p>A depth‐averaged linearized meander evolution model was calibrated and tested using the field data collected at the Quinn River in the Black Rock Desert, Nevada. Two approaches used to test the model were: (1) simulating meander evolution and comparing the results with the observed 38 year migration pattern; and (2) fitting the model parameters to present bank asymmetry (the ratio of the maximum bank gradients on opposite sides of the channel). The data required as input were collected in the field during a high flow in May 2011 and from aerial photographs and LiDAR data. Both approaches yielded similar results for the best fit parameter values. The bank asymmetry analysis showed that the bank asymmetry and the velocity perturbation have high correlation at close to zero spatial lag while the maximum correlation between the bank asymmetry and maximum bend curvature is offset by about 25 m. The model sufficiently replicated 38 years of channel migration, with a few locations significantly under‐ or over‐predicted. Inadequacies of the flow model and/or variation in bank properties unaccounted for are most likely the causes for these discrepancies. Flow through the Quinn River was also simulated by a more general 3D model. The downstream pattern of near‐bank shear stresses simulated by the 3D model is nearly identical to those resulting from the linearized flow model. Topographic profiles across interior bends are essentially invariant over a wide range of migration rates, suggesting that the traditional formulation that cut bank erosion processes govern migration rates is appropriate for the Quinn River. Copyright © 2014 John Wiley & Sons, Ltd.</p> </abstract>