Application of Rosgen's BANCS Model for NE Kansas and the Development of Predictive Streambank Erosion Curves

Christopher K. Sass, Tim D. Keane

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

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 R 2 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 R 2 values of 0.84 High-Very High BEHI and 0.88 Moderate BEHI ratings.

Original languageEnglish
Pages (from-to)774-787
Number of pages14
JournalJournal of the American Water Resources Association
Volume48
Issue number4
DOIs
StatePublished - Aug 2012

Keywords

  • BANCS model
  • Erosion prediction
  • Rosgen
  • Streambank erosion
  • Streambank vegetation

ASJC Scopus subject areas

  • Ecology
  • Water Science and Technology
  • Earth-Surface Processes

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