Bank erosion processes within the fluvial corridor of the St. Lawrence River: causes, drivers and future challenges.

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

<p>The St. Lawrence River is one of the largest river affected by seasonal ice formation outside the periglacial domain. It is also a major socio-economical axis in eastern North America where human activities and facilities are numerous within its fluvial corridor, upstream Quebec City (QC, Canada). Recent flooding episodes in 2017 and 2019 have shown that the sustainability of the St. Lawrence River and thus its socio-economic and ecological services will likely be altered in a near future. Bank erosion today represents a major hazard for land owners, infrastructures and riverine ecosystems. Consequently, there is a growing need to integrate bank erosion hazard in order to ensure sustainable management of riparian areas and to adapt land-use planning strategies.</p><p>Literature review and field surveys allowed us to conceptualize a scientific framework about bank erosion dynamics in large rivers characterized by the formation of river ice. We used this framework within the fluvial corridor of the St. Lawrence River to identify bank erosion processes and their drivers, with a focus on the role of river ice and the impacts of anthropogenic stressors such as urbanization, riverbank concreting, large-scale damming, and maritime traffic. We illustrate erosion processes and their impacts through several case studies representing different ecosystems from the fluvial section of the St. Lawrence River. We then discuss the future changes in the nature, the timing, the frequency and the magnitude of bank erosion processes to address the challenges caused by climate change and increased human activities in the St. Lawrence, and more generally in large rivers affected by seasonal ice formation.</p>

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>


2008 ◽  
Vol 35 (1) ◽  
pp. 80-86 ◽  
Author(s):  
Daniel Bourgault

A simple and inexpensive method using a shore-based commercially available digital camera is developed to monitor river ice. The method was tested in a section of the St. Lawrence River, near Québec City, where tidal currents induce large changes in the ice distribution. It is shown that high resolution objective and quantitative information, such as the ice extent, spatiotemporal variability, and current fields, can be determined from the georectified images. The method proposed may provide an alternative to costly aerial surveys and other more sophisticated remote sensing techniques.


2018 ◽  
Author(s):  
Gonzalo Duró ◽  
Alessandra Crosato ◽  
Maarten G. Kleinhans ◽  
Wim S. J. Uijttewaal

Abstract. Diverse methods are currently available to measure river bank erosion at broad-ranging temporal and spatial scales. Yet, no technique provides low-cost and high-resolution to survey small-scale bank processes along a river reach. We investigate the capabilities of Structure-from-Motion photogrammetry applied with imagery from an Unmanned Aerial Vehicle (UAV) to describe the evolution of riverbank profiles in middle-size rivers. The bank erosion cycle is used as a reference to assess the applicability of different techniques. We surveyed 1.2 km of a restored bank of the Meuse River eight times within a year, combining different photograph perspectives and overlaps to identify an efficient UAV flight to monitor banks. The accuracy of the Digital Surface Models (DSMs) was evaluated compared with RTK GPS points and an Airborne Laser Scanning (ALS) of the whole reach. An oblique perspective with eight photo overlaps was sufficient to achieve the highest relative precision to observation distance of ~1:1400, with 10 cm error range. A complementary nadiral view increased coverage behind bank toe vegetation. The DSM and ALS had comparable accuracies except on banks, where the latter overestimates elevations. Sequential DSMs captured signatures of the erosion cycle such as mass failures, slump-block deposition, and bank undermining. Although this technique requires low water levels and banks without dense vegetation, it is a low-cost method to survey reach-scale riverbanks in sufficient resolution to quantify bank retreat and identify morphological features of the bank failure and erosion processes.


1984 ◽  
Vol 11 (4) ◽  
pp. 798-814 ◽  
Author(s):  
Bernard Michel

There are many theories pertaining to the progression of ice covers in rivers fed by frazil slush and floes but very few have been examined critically by comparing them with field data. In this paper the existing theories on dynamic ice cover progression are reviewed, an additional one is proposed, and they are classified according to the physical mechanisms that are involved. Finally, they are compared with some existing field data for large rivers. The data are extremely scarce and difficult to obtain because of the costs involved and the dangers in traveling over thin ice when the ice cover is being formed.It is usually easier to get only the critical values of parameters giving the limits of ice cover progression. In this paper, complete data were taken from the St. Lawrence River, the Beauharnois Canal, and the La Grande Rivière where the ice thicknesses along with the flow parameters have been measured.In these cases the existing data are adequate, so they could be grouped to explain the various mechanisms involved and to obtain numerical values for their quantitative determination. Key words: glaciology, river ice, ice dynamics, fluvial processes, ice hydraulics.


2013 ◽  
Vol 10 (3) ◽  
pp. 2879-2925 ◽  
Author(s):  
R. C. D. Paiva ◽  
W. Collischonn ◽  
M.-P. Bonnet ◽  
L. G. G. de Gonçalves ◽  
S. Calmant ◽  
...  

Abstract. In this work we introduce and evaluate a data assimilation framework for gauged and radar altimetry-based discharge and water levels applied to a large scale hydrologic-hydrodynamic model for stream flow forecasts over the Amazon River basin. We used the process-based hydrological model called MGB-IPH coupled with a river hydrodynamic module using a storage model for floodplains. The Ensemble Kalman Filter technique was used to assimilate information from hundreds of gauging and altimetry stations based on ENVISAT satellite data. Model state variables errors were generated by corrupting precipitation forcing, considering log-normally distributed, time and spatially correlated errors. The EnKF performed well when assimilating in situ discharge, by improving model estimates at the assimilation sites and also transferring information to ungauged rivers reaches. Altimetry data assimilation improves results at a daily basis in terms of water levels and discharges with minor degree, even though radar altimetry data has a low temporal resolution. Sensitivity tests highlighted the importance of the magnitude of the precipitation errors and that of their spatial correlation, while temporal correlation showed to be dispensable. The deterioration of model performance at some unmonitored reaches indicates the need for proper characterization of model errors and spatial localization techniques for hydrological applications. Finally, we evaluated stream flow forecasts for the Amazon basin based on initial conditions produced by the data assimilation scheme and using the ensemble stream flow prediction approach where the model is forced by past meteorological forcings. The resulting forecasts agreed well with the observations and maintained meaningful skill at large rivers even for long lead times, e.g. > 90 days at the Solimões/Amazon main stem. Results encourage the potential of hydrological forecasts at large rivers and/or poorly monitored regions by combining models and remote sensing information.


2000 ◽  
Vol 21 (1) ◽  
pp. 46-56 ◽  
Author(s):  
Laurence C. Smith

2019 ◽  
Vol 11 (3) ◽  
pp. 609-622 ◽  
Author(s):  
Saeideh Maleki ◽  
Saeid Soltani Koupaei ◽  
Alireza Soffianian ◽  
Sassan Saatchi ◽  
Saeid Pourmanafi ◽  
...  

Abstract Negative impacts of climate change on ecosystems have been increasing, and both the intensification and the mitigation of these impacts are strongly linked with human activities. Management and reduction of human-induced disturbances on ecosystems can mitigate the effects of climate change and enhance the ecosystem recovery process. Here, we investigate coupled human and climate effects on the wetland ecosystem of the lower Helmand basin from 1977 to 2014. Using time series climate-variable data and land-use changes from Landsat time series imagery, we compared changes in ecosystem status between the upstream and downstream regions. Results show that despite a strong and prolonged drought in the region, the upstream region of the lower Helmand basin remained dominated by agriculture, causing severe water stress on the Hamoun wetlands downstream. The loss of available water in wetlands was followed by large-scale land abandonment in rural areas, migration to the cities, and increasing unemployment and economic hardship. Our results suggest that unsustainable land-use policies in the upstream region, combined with synergistic effects of human activities and climate in lower Helmand basin, have exacerbated the effects of water stress on local inhabitants in the downstream region.


Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1958 ◽  
Author(s):  
Zhang ◽  
Wang ◽  
Zhou

This study conducted quantitative diagnosis on the impact of climate change and human activities on drought risk. Taking the Kuye river basin (KRB) in China as the research area, we used variation point diagnosis, simulation of precipitation and runoff, drought risk assessment, and attribution quantification. The results show that: (1) the annual runoff sequence of KRB changed significantly after 1979, which was consistent with the introduction of large-scale coal mining; (2) under the same drought recurrence period, the drought duration and severity in the human activity stage were significantly worse than in the natural and simulation stages, indicating that human activities changed the drought risk in this area; and (3) human activities had little impact on drought severity in the short duration and low recurrence period, but had a greater impact in the long duration and high recurrence period. These results provide scientific guidance for the management, prevention, and resistance of drought; and guarantee sustainable economic and social development in the KRB.


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