Paper No. JAWRA-11-0087-P of the Journal of the American Water Resources Association (JAWRA). Discussions are open until six months from print publication.
Application of Rosgen’s BANCS Model for NE Kansas and the Development of Predictive Streambank Erosion Curves1
Article first published online: 6 APR 2012
© 2012 American Water Resources Association.
JAWRA Journal of the American Water Resources Association
Volume 48, Issue 4, pages 774–787, August 2012
How to Cite
Sass, C. K. and Keane, T. D. (2012), Application of Rosgen’s BANCS Model for NE Kansas and the Development of Predictive Streambank Erosion Curves. JAWRA Journal of the American Water Resources Association, 48: 774–787. doi: 10.1111/j.1752-1688.2012.00644.x
- Issue published online: 1 AUG 2012
- Article first published online: 6 APR 2012
- Received July 15, 2011; accepted January 25, 2012.
- erosion prediction;
- BANCS model;
- streambank vegetation;
- streambank erosion
Sass, Christopher K. and Tim D. Keane, 2012. Application of Rosgen’s BANCS Model for NE Kansas and the Development of Predictive Streambank Erosion Curves. Journal of the American Water Resources Association (JAWRA) 48(4): 774-787. DOI: 10.1111/j.1752-1688.2012.00644.x
Abstract: Sedimentation of waterways and reservoirs directly related to streambank erosion threatens freshwater supply. This study sought to provide a tool that accurately predicts annual streambank erosion rates in NE Kansas. Rosgen (2001, 2006) methods were employed and 18 study banks were measured and monitored from 2007 through 2010 (May-June). Bank profiles were overlaid to calculate toe pin area change due to erosional processes. Streambanks experienced varied erosion rates from similar Bank Erosion Hazard Index (BEHI)-Near Bank Stress (NBS) combinations producing R2 values of 0.77 High-Very High BEHI rating and 0.75 Moderate BEHI rating regarding predictive erosion curves for NE Kansas. Moderate ratings demonstrated higher erosion rates than High-Very High ratings and BEHI trend lines intersected at lower NBS ratings, suggesting a discrepancy in the fit of the model to conditions in the NE Kansas region. BEHI model factors were evaluated and assessed for additional influences exerted in the region. Woody vegetation adjacent to the stream seemed to provide the most variation in erosion rates. This study’s findings allowed us to calibrate and modify the existing BEHI model according to woody vegetation occurrence levels along streambanks with high clay content. Modifications regarding vegetation occurrence of the BEHI model was completed and the results of these modifications generated new curves resulting in R2 values of 0.84 High-Very High BEHI and 0.88 Moderate BEHI ratings.