scholarly journals Modifying the Bank Erosion Hazard Index (BEHI) Protocol for Rapid Assessment of Streambank Erosion in Northeastern Ohio

Author(s):  
Sara E. Newton ◽  
Deanna M. Drenten
2006 ◽  
Vol 34 ◽  
pp. 109-116
Author(s):  
Basanta Raj Adhikari ◽  
Naresh Kazi Tamrakar

The Bishnumati River, a major tributary of the Bagmati River in the Kathmandu basin, suffers from bank erosion, river instability, and environmental degradation. These processes are responsible for the loss of sediments, modification of river morphology, loss of vegetative buffer zone, and deterioration of stream environment. Bank erosion hazard in the Bishnumati River was assessed at ten different reaches using bank height ratio, ratio of riparian vegetation rooting depth to bank height, rooting density percentage, bank slope, and bank surface protection. Vertical and lateral stability of the river was assessed at four reference segments, namely at Bishnumatigaun, Okhaltar, Mahadevtar, and Tamsipakha, respectively from upstream to downstream. The riverbanks in the Bishnumatigaun segment show fluctuating trends of bank erosion potential from upstream to downstream. All the four segments of the Bishnumati River are vertically unstable and all the segments except the Okhaltar are entrenched. The Tamsipakha and Okhaltar segments have a high risk of lateral shifting, as they possess high values of bank erosion hazard index, meandering width ratio, and width-depth ratio. The Bishnumati river is in a degrading condition and capable of eroding sediments. The main causes of river instability are the excavation of river sediments, encroachment on riverbanks, clearing of riparian vegetation, and canalization.


2019 ◽  
Vol 67 (2) ◽  
pp. 121-128
Author(s):  
Zuzana Allmanová ◽  
Mária Vlčková ◽  
Martin Jankovský ◽  
Matúš Jakubis ◽  
Michal Allman

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.


Author(s):  
Zuzana Allmanová ◽  
Matúš Jakubis

Sedimentation of waterways and reservoirs, decreasing quality of drinking water and costs necessary for maintenance of these objects directly related to streambank erosion. This study provides a tool for water management that can help with estimation parts of a streambank which are prone to erosion. The Bank erosion hazard index (BEHI) part of the BANCS (Bank Assessment for Non‑point source Consequences of Sediment) model is one of the several procedures for assessing streambank erosion condition and potential (Rosgen, 2001). On May 15th 2014 a high precipitation occurred in the watershed of Sestrč torrent, in the eastern part of Chočské vrchy (Sp = 27.64 km2). It reached 102.7 mm per 24 hours. The rainfall resulted in extreme streambank erosion. We started the research of annual stream bank erosion on Sestrč in the beginning of May 2014 and we established 19 experimental sections on the stream. Occurrence of heavy rainfall allowed us to erosion rates after flash flood. The aim of this paper was to verify, if BEHI index can really determine the most vulnerable parts of a banks to erosion. We measured erosion rates Eb (m3/m) using a bank pins and toe pin (Sass, 2011) on each experimental section and evaluated each section by BEHI index (Rosgen, 2001, 2008). The results were statistically verified and confirmed a strong relationship between BEHI and real damage of banks Eb (m3/m) (R: 0.88, R2: 0.78).


2019 ◽  
Vol 2 ◽  
pp. 1-5
Author(s):  
Pham Thi Huong Lan ◽  
Le Minh Nguyet ◽  
Le Thi Viet Hoa

<p><strong>Abstract.</strong> In this study, a method for developing a quantitative prediction of river bank erosion in Bien Hoa district in Dong Nai River is presented. The river bank erosion hazard index (BEHI) was estimated to assess the stability of the river bank erosion in consultation with bank height, bank slope, rooting depth, rooting density and surface protection. The estimated BEHI of Dong Nai River in Bien Hoa district are high which indicates the riverbank instability. The estimated BEHI along the left bank is about 25&amp;ndash;30. The satellite data of LANSAT TM 5, LANDSAT ETM 7 for the year 1995, 2005 and 2015 were used to assess the nature of shifting of the river bank and to estimate the land loss from river bank. All the derived images were transported on GIS environment to extract the course of the river. 13 sites were considered along the Dong Nai River in Bien Hoa District to estimate the leftward shifting of the bank line and to assess the shifting distance of the river bank line. There is a strong relationship between bank instability BEHI, shifting distance of the bank line and eroded bank area in this study.</p>


2019 ◽  
Vol 14 (No. 4) ◽  
pp. 200-211
Author(s):  
Zuzana Allmanová ◽  
Mária Vlčková ◽  
Martin Jankovský ◽  
Michal Allman ◽  
Helena Hlavatá

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 R<sup>2</sup> = 0.72. The relationship between the NBS index and real annual erosion rates was also strong, with R<sup>2</sup> = 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 R<sup>2</sup>= 0.004 and 0.15, respectively.  


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