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 23 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).
Shapefile as ZIP Archive - 11.0 KB - MD5: 8159dd22905e0d5c575c62109ac3506a
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.
Compressed Archive - 364.1 KB - MD5: 2f8e9b149847c7e65c7483ef65b57a45
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...
Compressed Archive - 20.7 MB - MD5: 1480b806284fc613243bd5e715103a59
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...
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