Komlavi Akpoti, Naga Manohar Velpuri, Naoki Mizukami, Stefanie Kagone, Mansoor Leh, Kirubel Mekonnen, Afua Owusu, Primrose Tinonetsana, Michael Phiri, Lahiru Madushanka, Tharindu Perera, Paranamana Thilina Prabhath, Gabriel E L Parrish, Gabriel B Senay, Abdulkarim Seid
{"title":"利用新的高分辨率排水数据推进非洲的水安全。","authors":"Komlavi Akpoti, Naga Manohar Velpuri, Naoki Mizukami, Stefanie Kagone, Mansoor Leh, Kirubel Mekonnen, Afua Owusu, Primrose Tinonetsana, Michael Phiri, Lahiru Madushanka, Tharindu Perera, Paranamana Thilina Prabhath, Gabriel E L Parrish, Gabriel B Senay, Abdulkarim Seid","doi":"10.1038/s41597-024-04034-0","DOIUrl":null,"url":null,"abstract":"<p><p>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<sup>-1</sup>, with contributions to oceanic basins: 1000.0 km³·year<sup>-1</sup> to the North Atlantic, primarily from the Senegal, Gambia, Volta, and Niger Rivers; 1327.2 km³·year<sup>-1</sup> to the South Atlantic, largely from the Congo River; 214.7 km³·year<sup>-1</sup> to the Mediterranean Sea, predominantly from the Nile River; and 729.4 km³·year<sup>-1</sup> 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.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"11 1","pages":"1195"},"PeriodicalIF":5.8000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11538507/pdf/","citationCount":"0","resultStr":"{\"title\":\"Advancing water security in Africa with new high-resolution discharge data.\",\"authors\":\"Komlavi Akpoti, Naga Manohar Velpuri, Naoki Mizukami, Stefanie Kagone, Mansoor Leh, Kirubel Mekonnen, Afua Owusu, Primrose Tinonetsana, Michael Phiri, Lahiru Madushanka, Tharindu Perera, Paranamana Thilina Prabhath, Gabriel E L Parrish, Gabriel B Senay, Abdulkarim Seid\",\"doi\":\"10.1038/s41597-024-04034-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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<sup>-1</sup>, with contributions to oceanic basins: 1000.0 km³·year<sup>-1</sup> to the North Atlantic, primarily from the Senegal, Gambia, Volta, and Niger Rivers; 1327.2 km³·year<sup>-1</sup> to the South Atlantic, largely from the Congo River; 214.7 km³·year<sup>-1</sup> to the Mediterranean Sea, predominantly from the Nile River; and 729.4 km³·year<sup>-1</sup> 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.</p>\",\"PeriodicalId\":21597,\"journal\":{\"name\":\"Scientific Data\",\"volume\":\"11 1\",\"pages\":\"1195\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2024-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11538507/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Data\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41597-024-04034-0\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Data","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41597-024-04034-0","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
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 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.
期刊介绍:
Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data.
The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.