Articles | Volume 378
https://doi.org/10.5194/piahs-378-11-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-378-11-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Post-conference publication
| 
29 May 2018
Post-conference publication |
| 29 May 2018
| 29 May 2018
Parameter and input data uncertainty estimation for the assessment of water resources in two sub-basins of the Limpopo River Basin
Nadia Oosthuizen
CORRESPONDING AUTHOR
CSIR, Natural Resources and Environment, P.O. Box 395, Pretoria
0001, South Africa
Institute for Water Research, Rhodes
University, P Bag 94, Grahamstown, 6140, South Africa
Denis A. Hughes
Institute for Water Research, Rhodes
University, P Bag 94, Grahamstown, 6140, South Africa
Evison Kapangaziwiri
CSIR, Natural Resources and Environment, P.O. Box 395, Pretoria
0001, South Africa
Jean-Marc Mwenge Kahinda
CSIR, Natural Resources and Environment, P.O. Box 395, Pretoria
0001, South Africa
Vuyelwa Mvandaba
CSIR, Natural Resources and Environment, P.O. Box 395, Pretoria
0001, South Africa
Institute for Water Research, Rhodes
University, P Bag 94, Grahamstown, 6140, South Africa
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Short summary
Input data (and model parameters) are significant sources of uncertainty that should be quantified. In southern Africa, water use data are among the most unreliable sources of model input data because available databases generally consist of only licensed information and actual use is generally unknown. The study assesses how uncertainty impacts the estimation of surface water resources of the Mogalakwena and Shashe sub-basins when using the databases that are currently available.
Input data (and model parameters) are significant sources of uncertainty that should be...
