Bank erosion of the Tŕstie stream: BANCS model predictions vs. real bank erosion
Author:
Allmanová Zuzana1, Vlčková Mária1, Jankovský Martin2, Jakubis Matúš1, Allman Michal1
Affiliation:
1. Department of Forest Harvesting, Logistics and Ameliorations, Faculty of Forestry , Technical University in Zvolen , T.G. Masaryka 24, 960 53 Zvolen , Slovakia . 2. Department of Forestry Technology and Constructions, Faculty of Forestry and Wood Sciences , Czech University of Life Sciences Prague , Kamýcká 129, 165 00 Prague 6 – Suchdol, Czechia .
Abstract
Abstract
This paper focused on predicting the bank erosion through the Bank Assessment for Non-point source Consequences of Sediment (BANCS) model on the Tŕstie water stream, located in the western Slovakia. In 2014, 18 experimental sections were established on the stream. These were assessed through the Bank Erosion Hazard Index (BEHI) and the Near Bank Stress (NBS) index. Based on the data we gathered, we constructed two erosion prediction curves. One was for BEHI categories low and moderate, and one for high, very high, and extreme BEHI. Erosion predicted through the model correlated strongly with the real annual bank erosion – for low and moderate BEHI, the R2 was 0.51, and for high, very high and extreme BEHI, the R2 was 0.66. Our results confirmed that the bank erosion can be predicted with sufficient precision on said stream through the BANCS model.
Publisher
Walter de Gruyter GmbH
Subject
Fluid Flow and Transfer Processes,Mechanical Engineering,Water Science and Technology
Reference33 articles.
1. Bandyopadhyay, S., Saha, S., Ghosh, K., De, S.K., 2013. Validation of BEHI model through field generated data for assessing bank erosion along the river Haora, West Tripura, India. Earth Sci. India, 6, 126–135. 2. Bigham, K.A., Moore, T.L., Vogel, J.R., Keane, T.D., 2018. Repeatability, Sensitivity, and Uncertainty Analyses of the BANCS Model Developed to Predict Annual Streambank Erosion Rates. JAWRA J. Am. Water Resour. Assoc., 1–17.10.1111/1752-1688.12615 3. Bull, L.J., 1997. Magnitude and variation in the contribution of bank erosion to the suspended sediment load of the River Severn, UK. Earth Surface Processes and Landforms, 22, 12, 1109–1123.10.1002/(SICI)1096-9837(199712)22:12<1109::AID-ESP810>3.0.CO;2-O 4. 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. Syracuse University, 78 p. 5. Dick, B.M., Hey, R., Peralta, P., Jewell, I., Simon, P., Peszlen, I., 2014. Estimating annual riverbank erosion rates – a dendrogeomorphic method. River Res. Appl., 30, 845–856.10.1002/rra.2682
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