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  • 2020-2024  (2)
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  • 1
    Publication Date: 2024-03-12
    Description: Passive margin stratigraphy contains time‐integrated records of landscapes that have long since vanished. Quantitatively reading the stratigraphic record using coupled landscape evolution and stratigraphic forward models (SFMs) is a promising approach to extracting information about landscape history. However, there is no consensus about the optimal form of simple SFMs because there has been a lack of direct tests against observed stratigraphy in well‐constrained test cases. Specifically, the extent to which SFM behaviour over geologic space and timescales should be governed by local (downslope sediment flux depends only on local slope) versus nonlocal (sediment flux depends on factors other than local slope, such as the history of slopes experienced along a transport pathway) processes is currently unclear. Here, we develop a nonlocal, nonlinear SFM that incorporates slope bypass and long‐distance sediment transport, both of which have been previously identified as important model components but not thoroughly tested. Our model collapses to the local, linear model under certain parameterizations such that best‐fit parameter values can indicate optimal model structure. Comparing 2‐D implementations of both models against seven detailed seismic sections from the Southeast Atlantic Margin, we invert the stratigraphic data for best‐fit model parameter values and demonstrate that best‐fit parameterizations are not compatible with the local, linear diffusion model. Fitting observed stratigraphy requires parameter values consistent with important contributions from slope bypass and long‐distance transport processes. The nonlocal, nonlinear model yields improved fits to the data regardless of whether the model is compared against only the modern bathymetric surface or the full set of seismic reflectors identified in the data. Results suggest that processes of sediment bypass and long‐distance transport are required to model realistic passive margin stratigraphy and are therefore important to consider when inverting the stratigraphic record to infer past perturbations to source regions.
    Description: European Commission http://dx.doi.org/10.13039/501100000780
    Description: United States National Science Foundation http://dx.doi.org/10.13039/501100008982
    Description: H2020 Marie Sklodowska‐Curie
    Description: https://doi.org/10.6084/m9.figshare.20205077
    Keywords: ddc:551.3 ; Southeast Atlantic Margin ; stratigraphy ; sediment transport ; numerical modeling
    Language: English
    Type: doc-type:article
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  • 2
    Publication Date: 2024-03-05
    Description: Abstract
    Description: The current global dataset of drainage system shapes has a relatively low spatial resolution. We obtained a new dataset (Basin90m) by calculating the drainage basins larger than 50 km2 globally using a 90-meter resolution Digital Elevation Model (DEM). The total number of drainage basins is 667629. For each drainage basin, we extracted the spatial distribution of the longest river channel and the sinuosity of the river. We computed fundamental geometric parameters for the drainage basins, such as area, length, width, aspect ratio, slope, and elevation. Basin90m consists of vector files (ESRI Shapefile format) containing global drainage basins and river channels. The file sizes for the basin and river data are 7.8 and 2.5 GB, respectively. All calculations were automated using a MATLAB script. For a more detailed description of Basin90m, please refer to our submitted data description article titled "A global dataset of the shape of drainage systems". The Basin90m dataset includes data in four sections. The first section comprises drainage basins globally with an area larger than 50 km². The data format is ESRI Shapefile. Eight morphometric indi-ces of the drainage system are stored in the attribute table of the basin shapefile. The "Basins" folder contains six subfolders, each representing a continent. Each continent's subfolder contains all the basins in that continent, categorized by different stream orders. For instance, the "South America" subfolder contains nine shapefile files corresponding to stream orders 1-9. The names of the shapefile files include their continent and stream order information. For example, "South_America_Basin_8.shp" represents all basins in South America with a stream order of 8. The second part of the Basin90m data consists of global main river channels. The longest river channel of each basin is stored in a folder named "Rivers". The internal structure of this folder is the same as the "Basins" folder. For instance, "South_America_River_8.shp" represents the main river channels in South America with a stream order of 8. The third part of Basin90m data is an Excel file named "Basin90m". This file contains eight morphometric parameters for all the basins. It includes both a globally merged sheet and sheets distinguishing different stream orders. The fourth part of Ba-sin90m data is a folder named "Matlab_code", which contains Matlab code for the automated ex-traction of drainage systems and their morphometric parameters.
    Description: Other
    Description: Version history: 12 January 2024: Publication of version 1.0 6 March 2024: Publication of version 1.1 Changes: Provision of more detailed user guidance in the file: User guide for Basin90m.m and additional comments to the matlab code (new file: 2022-004_He-et-al_Matlab_code_v.1.1.zip). The first version of this zip file was moved to the "previous-versions" folder.
    Type: Dataset , Dataset
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