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

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...

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Autores principales: Akpoti, Komlavi, Velpuri, Naga Manohar, Mizukami, N., Kagone, S., Leh, Mansoor, Mekonnen, Kirubel, Owusu, Afua, Tinonetsana, Primrose, Phiri, Michael, Madushanka, Lahiru, Perera, Tharindu, Paranamana, Thilina Prabhath, Parrish, G. E. L., Senay, G. B., Seid, Abdulkarim
Formato: Journal Article
Lenguaje:Inglés
Publicado: 2024
Materias:
Acceso en línea:https://hdl.handle.net/10568/162907
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author Akpoti, Komlavi
Velpuri, Naga Manohar
Mizukami, N.
Kagone, S.
Leh, Mansoor
Mekonnen, Kirubel
Owusu, Afua
Tinonetsana, Primrose
Phiri, Michael
Madushanka, Lahiru
Perera, Tharindu
Paranamana, Thilina Prabhath
Parrish, G. E. L.
Senay, G. B.
Seid, Abdulkarim
author_browse Akpoti, Komlavi
Kagone, S.
Leh, Mansoor
Madushanka, Lahiru
Mekonnen, Kirubel
Mizukami, N.
Owusu, Afua
Paranamana, Thilina Prabhath
Parrish, G. E. L.
Perera, Tharindu
Phiri, Michael
Seid, Abdulkarim
Senay, G. B.
Tinonetsana, Primrose
Velpuri, Naga Manohar
author_facet Akpoti, Komlavi
Velpuri, Naga Manohar
Mizukami, N.
Kagone, S.
Leh, Mansoor
Mekonnen, Kirubel
Owusu, Afua
Tinonetsana, Primrose
Phiri, Michael
Madushanka, Lahiru
Perera, Tharindu
Paranamana, Thilina Prabhath
Parrish, G. E. L.
Senay, G. B.
Seid, Abdulkarim
author_sort Akpoti, Komlavi
collection Repository of Agricultural Research Outputs (CGSpace)
description 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−1, with contributions to oceanic basins: 1000.0 km³·year−1 to the North Atlantic, primarily from the Senegal, Gambia, Volta, and Niger Rivers; 1327.2 km³·year−1 to the South Atlantic, largely from the Congo River; 214.7 km³·year−1 to the Mediterranean Sea, predominantly from the Nile River; and 729.4 km³·year−1 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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spelling CGSpace1629072025-12-08T09:54:28Z Advancing water security in Africa with new high-resolution discharge data Akpoti, Komlavi Velpuri, Naga Manohar Mizukami, N. Kagone, S. Leh, Mansoor Mekonnen, Kirubel Owusu, Afua Tinonetsana, Primrose Phiri, Michael Madushanka, Lahiru Perera, Tharindu Paranamana, Thilina Prabhath Parrish, G. E. L. Senay, G. B. Seid, Abdulkarim water security discharge datasets river basins runoff modelling spatial distribution 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−1, with contributions to oceanic basins: 1000.0 km³·year−1 to the North Atlantic, primarily from the Senegal, Gambia, Volta, and Niger Rivers; 1327.2 km³·year−1 to the South Atlantic, largely from the Congo River; 214.7 km³·year−1 to the Mediterranean Sea, predominantly from the Nile River; and 729.4 km³·year−1 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. 2024-11 2024-11-30T23:42:59Z 2024-11-30T23:42:59Z Journal Article https://hdl.handle.net/10568/162907 en Open Access Akpoti, Komlavi; Velpuri, Naga Manohar; Mizukami, N.; Kagone, S.; Leh, Mansoor; Mekonnen, Kirubel; Owusu, Afua; Tinonetsana, Primrose; Phiri, Michael; Madushanka, Lahiru; Perera, Tharindu; Paranamana, Thilina Prabhath; Parrish, G. E. L.; Senay, G. B.; Seid, Abdulkarim. 2024. Advancing water security in Africa with new high-resolution discharge data. Scientific Data, 11:1195. [doi: https://doi.org/10.1038/s41597-024-04034-0]
spellingShingle water security
discharge
datasets
river basins
runoff
modelling
spatial distribution
Akpoti, Komlavi
Velpuri, Naga Manohar
Mizukami, N.
Kagone, S.
Leh, Mansoor
Mekonnen, Kirubel
Owusu, Afua
Tinonetsana, Primrose
Phiri, Michael
Madushanka, Lahiru
Perera, Tharindu
Paranamana, Thilina Prabhath
Parrish, G. E. L.
Senay, G. B.
Seid, Abdulkarim
Advancing water security in Africa with new high-resolution discharge data
title Advancing water security in Africa with new high-resolution discharge data
title_full Advancing water security in Africa with new high-resolution discharge data
title_fullStr Advancing water security in Africa with new high-resolution discharge data
title_full_unstemmed Advancing water security in Africa with new high-resolution discharge data
title_short Advancing water security in Africa with new high-resolution discharge data
title_sort advancing water security in africa with new high resolution discharge data
topic water security
discharge
datasets
river basins
runoff
modelling
spatial distribution
url https://hdl.handle.net/10568/162907
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