Predicting the annual erosion rates on a small stream by the BANCS model

https://doi.org/10.17221/58/2018-SWRCitation:Allmanová Z., Vlčková M., Jankovský M., Allman M., Hlavatá H. (2019): Predicting the annual erosion rates on a small stream by the BANCS model. Soil & Water Res., 14: 200-211.
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The erosion of streambanks causes soil loss and degrades the stream habitat. To optimize the prevention of bank erosion, we first need to determine the most vulnerable places on banks. This can be done by the BANCS model. However, data are still missing on its accuracy in small streams. We measured the real annual erosion rates on 18 experimental sections established on the Lomnická stream. Using the Near Bank Stress (NBS) and Bank Erosion Hazard Index (BEHI) we developed the erosion prediction curves and evaluated the relationship between these two indices and the real annual erosion rates. We found a strong relationship between BEHI and real annual erosion rates, with R2 = 0.72. The relationship between the NBS index and real annual erosion rates was also strong, with R2 = 0.53. Then we constructed erosion prediction curves for very high and extreme BEHI and for moderate and high BEHI. Despite the strong correlation between BEHI and annual erosion rates, the prediction curves had no real relationship with real annual erosion rates, with R2= 0.004 and 0.15, respectively.

 

References:
Bigham K.A. (2016): Evaluation and Application of the Bank Assessment for Non-Point Source Consequences of Sediment (BANCS) Model Developed to Predict Annual Streambank Erosion Rates. [PhD Thesis.] Manhattan, Kansas State University.
 
Chen Y., Bhatia S.K., Buchanan J., De Koskie D., Van Schaack R. (2005): Effectiveness of stream restoration in reducing stream bank erosion: the case of Batavia Kill stream restoration projects, New York. In: Moglen G.E. (ed.): Watershed Management Conf. Managing Watersheds for Human and Natural Impacts: Engineering, Ecological, and Economic Challenges, Williamsburg, July 19–22, 2005: 1–12.
 
Coryat M. (2014): Analysis of the Bank Assessment for Non-point Source Consequences of Sediment (BANCS) Approach for the Prediction of Streambank Stability and Erosion along Stony Clove Creek in the Catskills. [PhD Thesis.] Syracuse, Syracuse University.
 
Dick B.M., Hey R., Peralta P., Jewell I., Simon P., Peszlen I. (2014): Estimating annual riverbank erosion rates – a dendrogeomorphic method. River Research and Applications, 30: 845–856. https://doi.org/10.1002/rra.2682
 
Ghosh K.G., Pal S., Mukhopadhyay S. (2016): Validation of BANCS model for assessing stream bank erosion hazard potential (SBEHP) in Bakreshwar River of Rarh region, Eastern India. Modeling Earth Systems and Environment, 2: 1–15. https://doi.org/10.1007/s40808-015-0044-z
 
Harmel R.D., Haan C.T., Dutnell R.C. (1999): Evaluation of Rosgen’s streambank erosion potential assessment in Northeast Oklahoma. Journal of the American Water Resources Association, 35: 113–121. https://doi.org/10.1111/j.1752-1688.1999.tb05456.x
 
Jennings G.D., Harman W.A. (2001): Measurement and stabilization of streambank erosion in North Carolina. In: Proc. Int. Symp. Soil Erosion Research for the 21st Century, Honolulu, Jan 3–5, 2001: 537–540.
 
Kwan H., Swanson S. (2014): Prediction of annual streambank erosion for Sequoia National Forest, California. JAWRA Journal of the American Water Resources Association, 50: 1439–1447. https://doi.org/10.1111/jawr.12200
 
Laubel A., Kronvang B., Hald A.B., Jensen C. (2003): Hydromorphological and biological factors influencing sediment and phosphorus loss via bank erosion in small lowland rural streams in Denmark. Hydrological Processes, 17: 3443–3463. https://doi.org/10.1002/hyp.1302
 
Markowitz G., Newton S. (2011): Using Bank Assessment for Non-point Source Consequences of Sediment (BANCS) Model to Prioritize Potential Stream Bank Erosion on Birch Creek. [Project Report: Ashokan Watershed Stream Management Program (AWSMP)] Shandaken: 5–31.
 
McMillan M., Hu Z. (2017): A watershed scale spatially-distributed model for streambank erosion rate driven by channel curvature. Geomorphology, 294: 146–161.  https://doi.org/10.1016/j.geomorph.2017.03.017
 
McQueen A.L., Zégre N.P., Welsch D.L. (2013): A West Virginia case study: does erosion differ between streambanks clustered by the bank assessment of nonpoint source consequences of sediment (BANCS) model parameters? In: Proc. 18th Central Hardwoods Forest Conf., Morgantown, Mar 26–28, 2012: 242–251.
 
NCSU (1989): North Carolina Piedmont region bank erosion prediction curve. Stream Restoration Program, North Carolina State University. Available at: http://www.bae.ncsu.edu/ programs/extension/wqg/srp/
 
Patterson J.M., Clinton D.R., Harman W.A., Jennings G.D., Slate L.O. (1999): Development of streambank erodibility relationships for North Carolina streams. Journal of the American Water Resources Association, 35: 117–123.
 
Presnail M.L. (2013): Prioritizing Stream Restoration: A Decision Support Tool for Use in Restoring Waters Impaired by Excess Sediment in the Blue Earth River Basin of Minnesota. [Graduate Thesis.] Mineapolis, University of Minnesota.
 
Prosser I.P., Hughes A.O., Rutherford I.D. (2000): Bank erosion of an incised upland channel by subaerial processes: Tasmania, Australia. Earth Surface Processes and Landforms, 25: 1085–1101. https://doi.org/10.1002/1096-9837(200009)25:10<1085::AID-ESP118>3.0.CO;2-K
 
Rinaldi M., Casagli N. (1999): Stability of streambanks formed in partially saturated soils and effects of negative pore water pressures: the Sieve River (Italy). Geomorphology, 26: 253–277. https://doi.org/10.1016/S0169-555X(98)00069-5
 
Rosgen D.L. (1976): The use of color infrared photography for the determination of suspended sediment concentrations and source areas. In: Proc. 3rd Inter-agency Sediment Conf. Washington, DC, Water Resources Council: 30–42.
 
Rosgen D.L. (1996): Applied River Morphology. 2nd Ed. Pagosa Springs, Wildland Hydrology.
 
Rosgen D.L. (1997): A geomorphological approach to restoration of incised rivers. In: Wang S.S.Y., Langendoen E.J., Shields Jr. F.B. (eds.): Proc. Conf. Management of Landscapes Disturbed by Channel Incision. Oxford, University of Mississippi: 1–3.
 
Rosgen D.L. (1998): River Restoration and Natural Channel Design: Course Handbook. Pagosa Springs, Wildland Hydrology.
 
Rosgen D.L. (2001): A practical method of computing streambank erosion rate. In: Proc. 7th Federal Interagency Sedimentation Conf., Reno, Mar 24–29, 2001: 9–17.
 
Rosgen D.L. (2006): Watershed Assessment of River Stability and Sediment Supply (WARSSS). Fort Collins, Wildland Hydrology.
 
Rosgen D.L. (2008): River Stability: Field Guide. Fort Collins, Wildland Hydrology.
 
Saha S., Mukhopadhyay S. (2014): Assessment of bank erosion probability: A study on Kunur River, Eastern India. International Journal of Geology, Earth and Environmental Sciences, 4: 216–223.
 
Sass Ch.K. (2011): Evaluation and Development of Predictive Streambank Erosion Curves for Northeast Kansas using Rosgen’s “Bancs” Methodology. [PhD Thesis.] Manhattan, Kansas State University.
 
Sass Ch.K., Keane T.D. (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, 48: 774–787. https://doi.org/10.1111/j.1752-1688.2012.00644.x
 
Simon A., Klimetz L. (2008): Relative magnitudes and sources of sediment in benchmark watersheds of the Conservation Effects Assessment Project. Journal of Soil and Water Conservation, 63: 504–522. https://doi.org/10.2489/jswc.63.6.504
 
USACE (1983): Sacramento River and Tributaries Bank Protection and Erosion Control Investigation. California Sediment Studies, Sacramento District, USACE.
 
Zaimes G.N., Schultz R.C., Isenhart T.M. (2008): Total phosphorus concentrations and compaction in riparian areas under different land-uses in Iowa. Agriculture, Ecosystems and Environment, 127: 22–30. https://doi.org/10.1016/j.agee.2008.02.008
 
Žoldák P. (2018): Kolačkov. Available at http://meteoinfo.sk/stanice/590-kolackov/statistiky/datum-5-2014 (accessed Sep 2018). (in Slovak)
 
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