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Data for: Quantifying Bankfull Flow Width Using Preserved Bar Clinoforms from Fluvial Strata

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DataONE2024-04-29 更新2025-08-02 收录
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Reconstruction of active channel geometry from fluvial strata is critical to constrain the water and sediment fluxes in ancient terrestrial landscapes. Robust methods—grounded in extensive field observations, numerical simulations, and physical experiments—exist for estimating the bankfull flow depth and channel-bed slope from preserved deposits; however, we lack similar tools to quantify bankfull channel widths. We combined high-resolution lidar data from 134 meander bends across 11 rivers that span over two orders of magnitude in size to develop a robust, empirical relation between the bankfull channel width and channel-bar clinoform width (relict stratigraphic surfaces of bank-attached channel bars). We parameterized the bar cross-sectional shape using a two-parameter sigmoid, defining bar width as the cross-stream distance between 95% of the asymptotes of the fit sigmoid. We combined this objective definition of the bar width with Bayesian linear regression analysis to show that the..., , , This README file was generated on 2024-04-24 # General information: ## Dataset title Data for \"Quantifying bankfull flow width using preserved bar clinoforms from fluvial strata\" ## Overview This supplementary dataset supports an analysis to build a predictive model of river channel width from the depositional record of their bar deposits, i.e., clinoforms. Included here are all the input data to generate topographic cross-sections and measurements of river channel width for 11 meandering rivers. The output data, including measurements of bar width, channel width, and the selected cross-sections, are also provided. Output data is generated from the companion software archive: [https://doi.org/10.5281/zenodo.11053670](https://doi.org/10.5281/zenodo.11053670). The associated manuscript is: [https://doi.org/10.1130/G48729.1](https://doi.org/10.1130/G48729.1). ## Data Formats * **Data Files:**: * **.csv**: Broadly used to organize tabular data. They are generally used to reco...
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2025-07-30
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