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

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...

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Main Authors: Zuzana Allmanová, Mária Vlčková, Martin Jankovský, Michal Allman, Helena Hlavatá
Format: Article
Language:English
Published: Czech Academy of Agricultural Sciences 2019-12-01
Series:Soil and Water Research
Subjects:
Online Access:https://swr.agriculturejournals.cz/artkey/swr-201904-0004_predicting-the-annual-erosion-rates-on-a-small-stream-by-the-bancs-model.php
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author Zuzana Allmanová
Mária Vlčková
Martin Jankovský
Michal Allman
Helena Hlavatá
author_facet Zuzana Allmanová
Mária Vlčková
Martin Jankovský
Michal Allman
Helena Hlavatá
author_sort Zuzana Allmanová
collection DOAJ
description 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.
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spelling doaj.art-2d0c88d74e144d4dadd37796a59d3b462023-02-23T03:48:41ZengCzech Academy of Agricultural SciencesSoil and Water Research1801-53951805-93842019-12-0114420021110.17221/58/2018-SWRswr-201904-0004Predicting the annual erosion rates on a small stream by the BANCS modelZuzana Allmanová0Mária Vlčková1Martin Jankovský2Michal Allman3Helena Hlavatá4Department of Forest Harvesting, Logistics and Ameliorations, Faculty of Forestry, Technical University in Zvolen, Zvolen, SlovakiaDepartment of Forest Harvesting, Logistics and Ameliorations, Faculty of Forestry, Technical University in Zvolen, Zvolen, SlovakiaDepartment of Forestry Technology and Constructions, Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague, Czech RepublicDepartment of Forest Harvesting, Logistics and Ameliorations, Faculty of Forestry, Technical University in Zvolen, Zvolen, SlovakiaSlovak Hydrometeorological Institute, Košice, SlovakiaThe 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.https://swr.agriculturejournals.cz/artkey/swr-201904-0004_predicting-the-annual-erosion-rates-on-a-small-stream-by-the-bancs-model.phpbank erosion hazard index (behi)erosion modelnear bank stress (nbs) indexprediction curvesstreambank erosion
spellingShingle Zuzana Allmanová
Mária Vlčková
Martin Jankovský
Michal Allman
Helena Hlavatá
Predicting the annual erosion rates on a small stream by the BANCS model
Soil and Water Research
bank erosion hazard index (behi)
erosion model
near bank stress (nbs) index
prediction curves
streambank erosion
title Predicting the annual erosion rates on a small stream by the BANCS model
title_full Predicting the annual erosion rates on a small stream by the BANCS model
title_fullStr Predicting the annual erosion rates on a small stream by the BANCS model
title_full_unstemmed Predicting the annual erosion rates on a small stream by the BANCS model
title_short Predicting the annual erosion rates on a small stream by the BANCS model
title_sort predicting the annual erosion rates on a small stream by the bancs model
topic bank erosion hazard index (behi)
erosion model
near bank stress (nbs) index
prediction curves
streambank erosion
url https://swr.agriculturejournals.cz/artkey/swr-201904-0004_predicting-the-annual-erosion-rates-on-a-small-stream-by-the-bancs-model.php
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AT martinjankovsky predictingtheannualerosionratesonasmallstreambythebancsmodel
AT michalallman predictingtheannualerosionratesonasmallstreambythebancsmodel
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