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United States Department of Agriculture

Agricultural Research Service

Research Project: INTEGRATED ASSESSMENT AND ANALYSIS OF PHYSICAL LANDSCAPE PROCESSES THAT IMPACT THE QUALITY AND MANAGEMENT OF AGRICULTURAL WATERSHEDS

Location: Watershed Physical Processes Research Unit

Title: Assessing the Impact of Riparian Soil-Water Dynamics on Streambank Erosion

Authors
item LANGENDOEN, EDDY
item WILSON, GLENN
item Fox, Garey - OKLAHOMA STATE UNIVERSITY

Submitted to: American Water Resources Association Conference Proceedings
Publication Type: Proceedings
Publication Acceptance Date: May 12, 2008
Publication Date: June 30, 2008
Citation: Langendoen, E.J., Wilson, G.V., Fox, G.A. 2008. Assessing the Impact of Riparian Soil-Water Dynamics on Streambank Erosion. In: Riparian Ecosystems and Buffers: Working at the Water's Edge, Proceedings 2008 AWRA Summer Specialty Conference, Virginia Beach, Virginia, June 30-July 2, 2008. J. Okay and A. Todd, Eds. (CD-ROM)

Interpretive Summary: Fine-grained sediment (clays and silts) in stream systems is a leading cause of stream impairment. Sediments eroded from the banks of disturbed streams are a significant contributor of fine-grained sediment. Studies at the U.S. Department of Agriculture-Agricultural Research Service National Sedimentation Laboratory have shown that the amount and rate of streambank erosion is related to differing amounts of water within the streambanks. Therefore, tools that assess streambank erosion need to properly account for the amount of water and its movement in a bank. Three models with different levels of sophistication were evaluated for their capability to accurately simulate the movement of groundwater in streambanks. The most complex model, which can simulate the movement of groundwater in both the saturated and unsaturated zone, showed that it can accurately simulate both the vertical and lateral movement of groundwater. The model with intermediate complexity, which can simulate the movement of groundwater in the saturated zone and the location of the groundwater surface, was capable of simulating averaged groundwater distributions, but under predicted the rate at which the groundwater moved within a streambank. The simplest model was able to predict the correct final groundwater distributions, but the rate at which groundwater moves was poorly predicted. Therefore, streambank erosion assessment tools or models that include the effects of groundwater should minimally use a groundwater model with intermediate complexity that appropriately simulates the elevation of the groundwater surface.

Technical Abstract: Occurrence of streambank failure is closely related to changes in pore-water pressure. Pore-water pressure in a streambank is affected, among others, by infiltrating rainfall, streambank-material texture, riparian vegetation, and interactions between surface water and groundwater. Also, the reduction in suction values in the upper part of the streambank due to downward migrating wetting fronts during rainfall events may significantly lower the shear strength of the streambank material. The hydrologic and biogeochemical components of the riparian model REMM were integrated into the channel evolution model CONCEPTS to produce a model capable of simulating bank pore-water pressure distributions. Testing of the model showed that the subsurface flow component of REMM cannot adequately simulate pore-water pressure dynamics at depth and near the groundwater table for streambank stability computations. Improved subsurface flow formulations that can be used to evaluate the effects of pore-water pressures on streambank stability at different temporal scales are presented and tested. To resolve the movement of wetting and drying fronts and their impact on bank stability temporally (i.e., time scales ranging from minutes to hours), a model based on the Richards equations describing unsaturated flow is needed. However, if streambank stability assessment uses time intervals of one day or larger, over which the pore-water pressure distribution may have reached a quasi-equilibrium state, the use of simpler models, such as those based on the Boussinesq equation, can accurately predict subsurface flow and pore-water pressure.

Last Modified: 9/10/2014
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