Minimum stream power and river channel patterns

1979 ◽  
Vol 41 (3-4) ◽  
pp. 303-327 ◽  
Author(s):  
Howard H. Chang
2018 ◽  
Vol 37 ◽  
pp. 17-51
Author(s):  
Leon Andrzejewski ◽  
Kazimierz Krzemień ◽  
Zbigniew Zwoliński

The paper is an attempt to review the state of current knowledge and discussion on the evolution and typology of valley and river channel systems in Poland. Contemporary landscapes of valley systems and river channel systems reflect the overlap of multiple natural and anthropogenic factors. Among them, climate changes and regional morphotectonic and morphogenetic determinants are of crucial importance. Over the last decades, these landscapes have undergone substantial transformations, among others as a result of climate change and as a consequence of changing hydrological conditions, land use, as well as a result of increasing human interference in river channel and valley systems. It thus follows from the circumstances that attempts are made to classify different evolutionary types and subtypes of river valleys and different types of contemporary river channel patterns and floodplains that reflect complex and often overlapping natural and anthropogenic conditions.


2020 ◽  
Author(s):  
Noémi Kósa ◽  
Balázs Székely

<p>Freely-meandering rivers are sensitive indicators of neotectonic activity that is otherwise difficult to detect in low-relief areas. In this study sinuosity analysis has been carried out on 20 main rivers and tributaries of Central Amazonia Region as an aid for localization of river channel patterns influenced by on-going tectonic activity.</p><p>The main problem of such studies, however, the availability of accurate river channel data. For the Central Amazonia Region highly accurate dataset that has a good geographical coverage is hardly available: the datasets we found did not fulfill the accuracy criteria for our project.</p><p>Consequently, the first objective of this project was to develop a data processing method of high resolution satellite images which provides a quick and accurate way to digitize river sections of a large parts of the intracratonic sedimentary basin. Furthermore, this work aims to detect channel sinuosity changes that could indicate recent vertical crustal movements. To achieve this, the water courses were automatically digitized using Sentinel–2 data and classic sinuosity values were calculated using several window sizes. The distribution of sinuosity variations was analysed by classification and various representations of the calculated values like mapping, crossplots and sinuosity-spectrum.</p><p>As the visualization methods complement each other the variations in sinuosity values can be highlighted and verified in several aspects. The results compared to former neotectonic studies some significant sinuosity changes can be correlated to known faults. The mentioned sinuosity variations coincides with the location of NW–SE normal and thrust faults active since Pleistocene times and NE–SW Miocene normal faults supporting the idea that these structures may have been reactivated.</p><p>In conclusion, multi-window sinuosity index calculation applied to satellite data based digitized water courses is a useful tool for recognizing recent tectonic activity in large low-relief areas, such as Central Amazonia.</p>


2013 ◽  
Vol 38 (10) ◽  
pp. 1187-1196 ◽  
Author(s):  
Andrew P. Nicholas

1971 ◽  
Vol 97 (1) ◽  
pp. 175-178
Author(s):  
A. N. Biswas ◽  
K. K. Bandyopadhyay

1970 ◽  
Vol 96 (10) ◽  
pp. 2142-2146
Author(s):  
Frederick G. Charlton

2021 ◽  
Author(s):  
Diego Panici ◽  
Georgie Bennett

<p>Landslides and debris flows represent natural phenomenon with high geomorphic impact and of significant cascading hazards to human lives and built environment. Intense rainfall events are key triggers of landslides and, as a result, landslides end up interacting with river channels during floods. Large masses of sediment can overwhelm the sediment transport capacity of a river channel and result in the formation of a dam. Nevertheless, this build-up process is not always evident in the aftermath of the event: when a dam burst occurs, a surge of mixed solid and fluid material is produced resulting in significant erosion in the downstream channel. Eventually, the blockage is removed, leaving the process of dam build-up and bursting undocumented. Due to the abrupt nature of this phenomenon, field observations are difficult to obtain.</p><p>In this study, we carried out a preliminary analysis by using a computational model to replicate the formation of a channel blockage downstream of a series of landslides during an event that occurred in the North St Vrain Creek in Colorado, USA, during the Great Colorado Storm in September 2013 (estimated to be a 1 in 1000 years event). In this case, there is limited documented evidence of a blockage, but a dam and its busting were hypothesised by analysing very large erosional patterns in a downstream reach that could not be explained by typical erosive processes (e.g. stream power). We employed the free source code r.avaflow, which is a two-phase model. This code can simulate complex chain phenomena, rapid routing mass flows, and entrainment-deposition processes. Topography of the area was obtained by using high resolution LiDAR DEM before and after the flood event in 2013 and was used as basal topography for simulations, as well as to estimate the amount of sediment released by the landslides. The flood flow employed for the simulation was based on estimated rainfall-runoff and kept constant, since the total simulation time was small compared to the actual flood curve duration. We also tested a limited range of parameters to account for the inherent uncertainties in the variables used.</p><p>The model was able to represent the erosion from the landslides and on the river channel, but also displayed the formation of a dam downstream of the landslides across all simulations. Although the topographic change and volume of mobilised sediments were affected by the variation of the model parameters, the formation of the channel blockage was always observed. This modelling will provide the basis for further modelling on landslide-channel interactions and will explain those phenomena that have only been postulated but not directly observed.</p>


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