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A global dataset of the shape of drainage systems

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Author(s)
He, Chuanqi
•
Yang, Ci-Jian
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Turowski, Jens M
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Ott, Richard F
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Braun, Jean
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Tang, Hui
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Ghantous, Shadi
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Yuan, Xiaoping
•
Stucky de Quay, Gaia
Date Issued
March 1, 2024
Journal
Earth System Science Data
Publisher
Copernicus GmbH
Citation
He, C., Yang, C.-J., Turowski, J. M., Ott, R. F., Braun, J., Tang, H., Ghantous, S., Yuan, X., and Stucky de Quay, G.: A global dataset of the shape of drainage systems, Earth Syst. Sci. Data, 16, 1151–1166.
Version
Final published version
Abstract
Drainage basins delineate Earth's land surface into individual water collection units. Basin shape and river sinuosity determine water and sediment dynamics, affecting landscape evolution and connectivity between ecosystems and freshwater species. However, a high-resolution global dataset for the boundaries and geometry of basins is still missing. Using a 90 m resolution digital elevation model, we measured the areas, lengths, widths, aspect ratios, slopes, and elevations of basins over 50 km2 globally. Additionally, we calculated the lengths and sinuosities of the longest river channels within these 0.67 million basins. We built a new global dataset, Basin90m, to present the basins and rivers, as well as their morphological metrics. To highlight the use cases of Basin90m, we explored the correlations among morphological metrics, such as Hack's law. By comparing with HydroSHEDS, HydroATLAS, and Google Earth images, we demonstrated the high accuracy of Basin90m. Basin90m, available in shapefile format, can be used on various GIS platforms, including QGIS, ArcGIS, and GeoPandas. Basin90m has substantial application prospects in geomorphology, hydrology, and ecology. Basin90m is available at https://doi.org/10.5880/GFZ.4.6.2023.004 (He et al., 2023).
MIT Department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Terms of Use
Creative Commons Attribution
https://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
https://dspace.mit.edu/handle/1721.1/175152
DOI of Published Version
https://doi.org/10.5194/essd-16-1151-2024
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