Journal
EARTH SURFACE PROCESSES AND LANDFORMS
Volume 34, Issue 9, Pages 1234-1244Publisher
WILEY
DOI: 10.1002/esp.1808
Keywords
bank erosion; meander migration; cohesive soils; numerical modeling; gravel-bed rivers
Funding
- DuPont Company
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The highly stochastic nature of riverbank erosion has driven the need for spatially explicit empirical models. Detailed bank profile surveys along a meander bend of the Brandywine Creek in Pennsylvania, USA, before and after 28 high flow events over a 2.5 year period are used to develop an empirical model of cohesive bank profile erosion. Two hundred and thirty-six bank erosion observations are classified as hydraulic erosion or subaerial erosion. Threshold conditions required to initiate bank erosion cannot be defined based on field measurements. Using the near-bank velocity and the number of freeze-thaw cycles as predictors, regression equations are derived for hydraulic erosion that specify the length, thickness, and location on the bank face of eroded blocks. An empirical discriminant function defines the critical geometry of overhang failures, and the volumes removed by overhang failures are computed using another regression equation. All the regression equations are significant, but have low correlation coefficients, suggesting that cohesive bank erosion has a strong stochastic component. Individual events typically remove small masses of soil (average volume 0.084 m(3)/m) a few centimeters thick (median = 0.057 m) and a few decimeters in length (median = 0.50 m) from the lower third of the bank. Hydraulic erosion is responsible for 87% of all erosion. When applied to three survey sites not used in its development, the profile model predicts the total volume of erosion with errors of 23%, 5% and 1%. Twenty-four percent of computed erosion volumes for single events are within 50% of observed volumes at these three sites. Extending the approach to decadal timescales and to entire bends will require three-dimensional observations of bank failure, and spatially and temporally explicit methods to account for the influence of individual large trees on bank failures and near-bank hydraulic processes. Copyright (c) 2009 John Wiley & Sons, Ltd.
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