The LIMPOPO River Basin data repository in Dataverse is designed to facilitate the interoperability of diverse data sources created to support the management and conservation efforts in the Limpopo River Basin. This repository catalogs various datasets developed by the International Water Management Institute (IWMI) as part of the CGIAR Digital Innovation Initiative's project on developing a prototype digital twin for the basin.
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1 to 10 of 12 Results
Jul 12, 2024
Hugo Retief, 2024, "Unverified discharge stations for Limpopo River Basin", https://doi.org/10.7910/DVN/NNMO4E, Harvard Dataverse, V2
Unverified discharge stations that have not been verified for accuracy or compliance.the data are gethered from AWARE platform fetching from DWS (Department of Water and Sanitation).
Jul 12, 2024
Thilina Madushanka, 2024, "Channel network of SWAT model for Limpopo River Basin", https://doi.org/10.7910/DVN/WAVI18, Harvard Dataverse, V2
The development of a channel network is a crucial part of watershed delineation. It involves identifying the streams and rivers within a watershed based on terrain data. This process uses the Digital Elevation Model (DEM) to simulate the flow of water across the landscape, determining where streams are likely to form.
Jul 9, 2024
Thilina Madushanka, 2024, "Historical limpopo groundlevel observed discharge data for the SWAT model validation for Limpopo River Basin", https://doi.org/10.7910/DVN/6JYPEL, Harvard Dataverse, V1
The discharge data is collected from the Department of Water and Sanitation (DWS) of the Republic of South Africa. Majority of the stations are located in south africa and some stations available at botswana.The stations are located in the Limpopo and Olifants regions, comprising a total of 45 stations with daily readings. This dataset is raw and l...
Jul 9, 2024
Thilina Madushanka, 2024, "Historical limpopo groundlevel observed rainfall data use for validation purposes for the SWAT model for Limpopo River Basin", https://doi.org/10.7910/DVN/HYHAZR, Harvard Dataverse, V1
The rainfall data is collected from various ground-level data stations, including SASSCL, GSOD, Massingir Dam stations and some other reputable South African organizations.Majority of the stations are located in south africa rest of the data sets are available in mozambique,zimbabwe and botswana. Currently, the system holds records from 192 station...
Jun 29, 2024
Thilina Madushanka, 2024, "Limpopo landuse from ESA for the SWAT model for Limpopo River Basin", https://doi.org/10.7910/DVN/ADRSCP, Harvard Dataverse, V1
This comprehensive land use dataset provides a granular understanding of the Limpopo Basin's surface composition. It reveals the spatial distribution of various land cover types – natural vegetation, agricultural lands, urban areas, and protected ecosystems – offering a valuable foundation for informed decision-making. Stakeholders can leverage thi...
Jun 29, 2024
Thilina Madushanka, 2024, "Limpopo soil from FAO/UNESCO for the SWAT model for Limpopo River Basin", https://doi.org/10.7910/DVN/BIPSBX, Harvard Dataverse, V1
Leveraging this comprehensive soil data collection, stakeholders can gain a nuanced understanding of the Limpopo Basin's pedosphere (soil layer). This data unveils the intricate spatial distribution of soil types, their physical and chemical properties (texture, fertility, erodibility), and associated vulnerability to degradation. This knowledge em...
Jun 29, 2024
Thilina Madushanka, 2024, "Basins Sub-basin Boundaries of the SWAT model for Limpopo River Basin", https://doi.org/10.7910/DVN/CYDHTY, Harvard Dataverse, V1
Creating precise basin boundaries is essential for hydrological modeling and effective water resource management. The Soil and Water Assessment Tool (SWAT) integrated with QGIS offers a robust interface to achieve this. this optimized approach ensures that hydrological models are based on precise watershed and sub-basin delineations, facilitating b...
Jun 29, 2024
Thilina Madushanka, 2024, "DAMs locations for Limpopo River Basin", https://doi.org/10.7910/DVN/WPJCPD, Harvard Dataverse, V1
Dams play a critical role in hydrological systems by altering natural water flow, creating reservoirs, and providing benefits such as water supply, flood control, irrigation, and hydroelectric power. Dams data gethered using google maps,monographs and characteristics data - Massingir dam authority.
Jun 29, 2024
Thilina Madushanka, 2024, "Limpopo subbasin population of for Limpopo River Basin", https://doi.org/10.7910/DVN/1FHPBM, Harvard Dataverse, V1
WorldPop produces estimates of populations with age/sex breakdowns for each 100m x 100m grid square on the planet.Poputation data is gathered from worldpop organization.
Jun 29, 2024
Pedro Chambel Leitao; Flavio Santos; Debora Barreiros, 2024, "Waterbodies location for Limpopo River Basin", https://doi.org/10.7910/DVN/VE9S1C, Harvard Dataverse, V1
Water bodies, including lakes, ponds, reservoirs, and rivers, significantly influence the hydrological dynamics of a watershed. Waterbodies data gethered from Digital Earth Africa.
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