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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Format: | Article |
Language: | English |
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Czech Academy of Agricultural Sciences
2019-12-01
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Series: | Soil and Water Research |
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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. |
first_indexed | 2024-04-10T08:03:50Z |
format | Article |
id | doaj.art-2d0c88d74e144d4dadd37796a59d3b46 |
institution | Directory Open Access Journal |
issn | 1801-5395 1805-9384 |
language | English |
last_indexed | 2024-04-10T08:03:50Z |
publishDate | 2019-12-01 |
publisher | Czech Academy of Agricultural Sciences |
record_format | Article |
series | Soil and Water Research |
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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