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Advancing water security in Africa with new high-resolution discharge data. | LitMetric

AI Article Synopsis

  • - VegDischarge v1 is a comprehensive dataset covering over 64,000 river segments in Africa, created using a combination of the VegET agro-hydrologic model and the mizuRoute routing model for the years 2001-2021.
  • - The dataset shows strong reliability in its modeling performance with statistical metrics indicating good fit at the continental level, and reveals Africa’s total average annual river discharge as approximately 3271.4 km³·year.
  • - This dataset is essential for researchers and stakeholders, providing insights into water availability and variations that support effective infrastructure planning, resource management, and climate resilience strategies.

Article Abstract

VegDischarge v1, which covers over 64,000 river segments in Africa, is a natural river discharge dataset produced by coupled modeling; the agro-hydrologic VegET model and the mizuRoute routing model for the period 2001-2021. Using remote sensing data and hydrological modeling system, the 1-km runoff field simulated by VegET, was routed with mizuRoute. Performance metrics show strong model reliability, with R² of 0.5-0.9, NSE of 0.6-0.9, and KGE of 0.5-0.8 at the continental scale. The total average annual discharge for Africa is quantified at 3271.4 km³·year, with contributions to oceanic basins: 1000.0 km³·year to the North Atlantic, primarily from the Senegal, Gambia, Volta, and Niger Rivers; 1327.2 km³·year to the South Atlantic, largely from the Congo River; 214.7 km³·year to the Mediterranean Sea, predominantly from the Nile River; and 729.4 km³·year to the Indian Ocean, with inputs from rivers such as the Zambezi. The dataset is valuable for stakeholders and researchers to understand water availability, its temporal and spatial variations that affect water-related infrastructure planning, sustainable resource allocation, and the development of climate resilience strategies.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11538507PMC
http://dx.doi.org/10.1038/s41597-024-04034-0DOI Listing

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