Qualitative Assessment of Bank Erosion Hazard in a Part of the Haora River, West Tripura District

Author(s):  
Moujuri Bhowmik ◽  
Nibedita Das
2011 ◽  
Vol 61 (3) ◽  
pp. 967-987 ◽  
Author(s):  
Praveen K. Thakur ◽  
Chalantika Laha ◽  
S. P. Aggarwal

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.


2020 ◽  
Author(s):  
Jean-François Bernier ◽  
Léo Chassiot ◽  
Patrick Lajeunesse

<p>The St. Lawrence River forms a major socio-economic and commercial axis in eastern North America, and one of the most populated cold rivers worldwide. Its upstream section, the fluvial corridor, located between the Quebec-Ontario border and Quebec City (QC, Canada), concentrates most of the human facilities and activities. Over the past decades, climate change and increased human pressures on the banks have deeply altered the natural hydro-sedimentary dynamics within this corridor. Yet, the environmental and socio-economic consequences have long been overlooked. The recent flooding events of 2017 and 2019 have highlighted the vulnerability of river habitats and infrastructures, underlining the need to integrate bank erosion hazard to ensure sustainable management of riparian areas and to adapt land-use planning strategies.</p><p>A research program started in late 2017 allowed a cross-science collaboration between academic scientists, the Government of Québec, environmental organizations and agencies, municipalities as well as concerned citizens. This program aims at characterizing riverbank types within the fluvial corridor and at assessing erosion hazard, processes, and controlling factors over more than 4000 km of riverbanks. We combined field surveys, remote sensing (LiDAR, aerial photographs) and crowdsourcing data to develop a geospatial database for local stakeholders.</p><p>We present the conceptual framework, methods and main results for riverbanks classification and erosion hazard assessment, and discuss the challenges posed by the study of large rivers. We emphasize on issues related to anthropogenic stressors and specificities (river ice, maritime traffic) of the St. Lawrence River. This is the first time, to our knowledge, that the subject of bank erosion has been assessed with such high resolution, but also with the same method, on an ice-affected river as large and diverse as the St. Lawrence.</p>


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