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These data and codes are used to reproduce the analysis and figures of "More extensive land loss expected on coastal deltas
due to rivers jumping course during sea-level rise" by A.J. Chadwick, S. Steele, J. Silvestre, and M.P. Lamb.
This project space contains data and codes used for the submitted manuscript "Differential Bank Migration Limits the Lifespan and Width of Braided River Threads" by Austin Chadwick, Elisabeth Steel, Paola Passalacqua, and Chris Paola.
This project space contains data presented in the manuscript "Effect of Sea-level Change on River Avulsions and Stratigraphy
for an Experimental Lowland Delta" by Austin Chadwick, Sarah Steele, Jose Silvestre, and Michael Lamb submitted to Journal of Geophysical Research: Earth Surface.
This project space contains data and codes used in the analysis of Chadwick et al. (submitted), “CHANNEL MIGRATION IN EXPERIMENTAL RIVER NETWORKS MAPPED BY PARTICLE-IMAGE VELOCIMETRY.”
Data and MATLAB codes used to produce the analysis and figures reported in "Climate-change controls on river delta avulsion location and frequency" by Austin J. Chadwick and Michael P. Lamb. The data and codes are organized into 3 folders: Scripts, Functions, and Data. The contents of each folder are outlined in an accompanied readme document.
This dataset includes all measured information and digital elevation models of the experiments reported in the following manuscript: https://www.earth-surf-dynam-discuss.net/esurf-2019-73/ Abstract of the paper: Climate and tectonics impact water and sediment fluxes to fluvial systems. These boundary conditions set river form and can be recorded by fluvial deposits. Reconstructions of boundary conditions from these deposits, however, is complicated by complex channel-network interactions and associated sediment storage and release through the fluvial system. To address this challenge, we used a physical experiment to study the interplay between a main channel and a tributary under different forcing conditions. In particular, we investigated the impact of a single tributary junction, where sediment supply from the tributary can produce an alluvial fan, on channel geometries and associated sediment-transfer dynamics. We found that the presence of an alluvial fan may promote or prevent sediment to be moved within the fluvial system, creating different coupling conditions. A prograding alluvial fan, for example, has the potential to disrupt the sedimentary signal propagating downstream through the confluence zone. By analyzing different environmental scenarios, our results indicate the contribution of the two sub-systems to fluvial deposits, both upstream and downstream of the tributary junction, which may be diagnostic of a perturbation affecting the tributary or the main channel only. We summarize all findings in a new conceptual framework that illustrates the possible interactions between tributary alluvial fans and a main channel under different environmental conditions. This framework provides a better understanding of the composition and architecture of fluvial sedimentary deposits found at confluence zones, which is essential for a correct reconstruction of the climatic or tectonic history of a basin.
Data sets associated with "Flow Loss in Deltaic Distributaries: Impacts on Channel Hydraulics, Morphology and Stability" by C.R. Esposito, I.Y. Georgiou, and K.M. Straub
Data and MATLAB codes used to produce the analysis and figures reported in "Accelerated river avulsion frequency on river deltas due to sea-level rise." The data and codes are organized into 3 folders: Scripts, Functions, and Data. The contents of each folder are outlined in a readme document.
These are results from simulations of river delta evolution and avulsion as reported in "Origin of a preferential avulsion node on lowland river deltas" by Austin J. Chadwick, Michael P. Lamb, Andrew Moodie, Gary Parker, and Jeffrey Nittrouer.
Imagery acquired by unmanned aerial systems (aka drones) near Sandwich Town Neck Beach, Massachsetts
Repeat multibeam sonar bed elevation grids collected upstream of the Diamond Creek USGS gage station (Colorado River Grand Canyon National Park).
March 4, 2015 deployment and July 12, 2015 deployment.
This space uses Collections to aggregate Datasets published by the SEN Community via individual or project-specific spaces.
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