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- W4379619061 endingPage "129769" @default.
- W4379619061 startingPage "129769" @default.
- W4379619061 abstract "Channel bathymetry data is important to both advanced hydraulic models and mobility analyses. Yet, obtaining bathymetry data at large scales is difficult. Here, we propose a method to create a continuous topobathymetric dataset that can be applied at large-scales with high-resolution using simple hydraulic models, gridded digital elevation model (DEM) data, a stream network dataset, and an average flow rate for every stream being evaluated (the latter two are often available from continental-scale streamflow models). The approach “burns-in” one of three bathymetric profiles (trapezoidal, triangular, or parabolic) into autogenerated cross-sections sampled from the DEM. Using spatial averaging, the cross-sections are then used to create a continuous topobathymetric dataset, which provides a realistic initial elevation surface for use in advanced hydraulic models. The ability of the bathymetric profiles to replicate maximum depth and hydraulic geometry was tested in the Mississippi River Basin at 11 sites with observed bathymetry data. For the majority of test sites, the observed maximum depth fell between the minimum and maximum thalweg depths calculated using the three bathymetric profile shapes, with the trapezoidal profile being the most accurate in capturing maximum depth (relative depth error of -4.2%). Based on hydraulic geometry, the triangular bathymetric profile performed best in the smaller streams while the trapezoid performed best in larger rivers. A test case along the Missouri River showed the topobathymetric dataset generated is easily implemented into advanced hydraulic models." @default.
- W4379619061 created "2023-06-08" @default.
- W4379619061 creator A5018498118 @default.
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- W4379619061 date "2023-08-01" @default.
- W4379619061 modified "2023-10-14" @default.
- W4379619061 title "Towards a continental-scale riverine bathymetry dataset using readily-available data and simple hydraulic models" @default.
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- W4379619061 doi "https://doi.org/10.1016/j.jhydrol.2023.129769" @default.
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