9 Modelling river-bank-erosion processes and mass failure mechanisms: progress towards fully coupled simulations

Rinaldi, Massimo; Darby, S. E.

doi:10.1016/s0928-2025(07)11126-3

Cited by 125 publications

(121 citation statements)

References 80 publications

(102 reference statements)

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“…Streambank recession rates were better correlated with maximum discharge than average discharge conditions, which would be expected in incised channels such as Walnut Creek where hydraulic erosion is considered the dominant bank erosion process (Thorne, 1982;Rinaldi and Darby, 2007). Hydraulic erosion removes bank materials from the direct erosive action of the flow (Darby et al, 2010).…”

Section: Recession Datamentioning

confidence: 95%

Streambank erosion rates and loads within a single watershed: Bridging the gap between temporal and spatial scales

et al. 2014

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The importance of streambank erosion to watershed-scale sediment export is being increasingly recognized. However few studies have quantified bank erosion and watershed sediment flux at the basin scale across temporal and spatial scales. In this study we evaluated the spatial distribution, extent, and temporal frequency of bank erosion in the 5218 ha Walnut Creek watershed in Iowa across a seven year period. We inventoried severely eroding streambanks along over 10 km of stream and monitored erosion pins at 20 sites within the watershed. Annual streambank recession rates ranged from 0.6 cm/yr during years of hydrological inactivity to 28.2 cm/yr during seasons with high discharge rates, with an overall average of 18.8 cm/yr. The percentage of total basin export attributed to streambank erosion along the main stem of Walnut Creek ranged from 23 to 53%. Large variations in individual site, annual rates and percentage of annual load suggested that developing direct relationships between streambank erosion rates and total sediment discharge may be confounded by the timing and magnitude of discharge events, storage of sediments within channel system and the remobilization of eroded material. RightsWorks produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted. The importance of streambank erosion to watershed-scale sediment export is being increasingly recognized. However few studies have quantified bank erosion and watershed sediment flux at the basin scale across temporal and spatial scales. In this study we evaluated the spatial distribution, extent, and temporal frequency of bank erosion in the 5218 ha Walnut Creek watershed in Iowa across a seven year period. We inventoried severely eroding streambanks along over 10 km of stream and monitored erosion pins at 20 sites within the watershed. Annual streambank recession rates ranged from 0.6 cm/yr during years of hydrological inactivity to 28.2 cm/yr during seasons with high discharge rates, with an overall average of 18.8 cm/yr. The percentage of total basin export attributed to streambank erosion along the main stem of Walnut Creek ranged from 23 to 53%. Large variations in individual site, annual rates and percentage of annual load suggested that developing direct relationships between streambank erosion rates and total sediment discharge may be confounded by the timing and magnitude of discharge events, storage of sediments within channel system and the remobilization of eroded material.

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Section: Recession Datamentioning

confidence: 95%

Streambank erosion rates and loads within a single watershed: Bridging the gap between temporal and spatial scales

et al. 2014

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“…Among the aforementioned sediment sources, riverbank erosion is considered a rather significant process in the context of fluvial dynamics as it involves a considerable fraction of the total sediment yield being supplied by riverbanks although its contribution varies between rivers [12][13][14][15]. Riverbank erosion may be caused by different phenomena, occurring with differing magnitudes and frequencies [16,17].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Riverbank Erosion in Mountain Catchments Using Terrestrial Laser Scanning

et al. 2016

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Sediment yield is a key factor in river basins management due to the various and adverse consequences that erosion and sediment transport in rivers may have on the environment. Although various contributions can be found in the literature about sediment yield modeling and bank erosion monitoring, the link between weather conditions, river flow rate and bank erosion remains scarcely known. Thus, a basin scale assessment of sediment yield due to riverbank erosion is an objective hard to be reached. In order to enhance the current knowledge in this field, a monitoring method based on high resolution 3D model reconstruction of riverbanks, surveyed by multi-temporal terrestrial laser scanning, was applied to four banks in Val Tartano, Northern Italy. Six data acquisitions over one year were taken, with the aim to better understand the erosion processes and their triggering factors by means of more frequent observations compared to usual annual campaigns. The objective of the research is to address three key questions concerning bank erosion: "how" erosion happens, "when" during the year and "how much" sediment is eroded. The method proved to be effective and able to measure both eroded and deposited volume in the surveyed area. Finally an attempt to extrapolate basin scale volume for bank erosion is presented.

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“…The riverbank characteristics of soil properties, length of rainfall periods, matric suction, geometry, and vegetation cover play important roles in bank failure and erosion-risk assessment [1,[26][27][28][29]. Millar [30] showed that bank vegetation also exerts significant control over alluvial channel patterns.…”

Section: Introductionmentioning

confidence: 99%

Area-Based Approach for Mapping and Monitoring Riverine Vegetation Using Mobile Laser Scanning

et al. 2013

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Vegetation plays an important role in stabilizing the soil and decreasing fluvial erosion. In certain cases, vegetation increases the accumulation of fine sediments. Efficient and accurate methods are required for mapping and monitoring changes in the fluvial environment. Here, we develop an area-based approach for mapping and monitoring the vegetation structure along a river channel. First, a 2 × 2 m grid was placed over the study area. Metrics describing vegetation density and height were derived from mobile laser-scanning (MLS) data and used to predict the variables in the nearest-neighbor (NN) estimations. The training data were obtained from aerial images. The vegetation cover type was classified into the following four classes: bare ground, field layer, shrub layer, and canopy layer. Multi-temporal MLS data sets were applied to the change detection of riverine vegetation. This approach successfully classified vegetation cover with an overall classification accuracy of 72.6%; classification accuracies for bare ground, field layer, OPEN ACCESSRemote Sens. 2013, 5 5286 shrub layer, and canopy layer were 79.5%, 35.0%, 45.2% and 100.0%, respectively. Vegetation changes were detected primarily in outer river bends. These results proved that our approach was suitable for mapping riverine vegetation.

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9 Modelling river-bank-erosion processes and mass failure mechanisms: progress towards fully coupled simulations

Cited by 125 publications

References 80 publications

Streambank erosion rates and loads within a single watershed: Bridging the gap between temporal and spatial scales

Streambank erosion rates and loads within a single watershed: Bridging the gap between temporal and spatial scales

Monitoring Riverbank Erosion in Mountain Catchments Using Terrestrial Laser Scanning

Area-Based Approach for Mapping and Monitoring Riverine Vegetation Using Mobile Laser Scanning

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