Articles | Volume 378
Proc. IAHS, 378, 17–22, 2018
Proc. IAHS, 378, 17–22, 2018

Post-conference publication 29 May 2018

Post-conference publication | 29 May 2018

Modelling of channel transmission loss processes in semi-arid catchments of southern Africa using the Pitman Model

Vuyelwa Mvandaba et al.

Related authors

Parameter and input data uncertainty estimation for the assessment of water resources in two sub-basins of the Limpopo River Basin
Nadia Oosthuizen, Denis A. Hughes, Evison Kapangaziwiri, Jean-Marc Mwenge Kahinda, and Vuyelwa Mvandaba
Proc. IAHS, 378, 11–16,,, 2018
Short summary

Cited articles

Boroto, R. A. J. and Görgens, A. H. M.: Hydrological Modelling of the Limpopo River Main Stem, report by: Department of Civil Engineering, University of Stellenbosch and Ninham Shand Consulting Engineers, Department of Water Affairs & Forestry, DWAF Report No. PA000/00/0399, 105 pp., 1999. 
Boroto, R. J. and Görgens, A. H. M.: Estimating transmission losses along the Limpopo River: an overview of alternative methods, International Association of Hydrological Sciences Publication, 278, 138–143, 2003. 
Costa, A. C., Bronstert, A., and de Araújo, J. C.: A channel transmission losses model for different dryland rivers, Hydrol. Earth Syst. Sci., 16, 1111–1135,, 2012. 
CSIR (Council for Scientific and Industrial Research-Environmentek): Protection and strategic uses of groundwater resources in drought prone areas of the SADC Region: Groundwater situation analysis of the Limpopo River Basin – Final Report, Environmentek Report No. ENV-P-C 2003-026, Pretoria, 2003. 
DWA (Department of Water Affairs): Classification of Significant Water Resources in the Mokolo Catchment: Limpopo Water Management Area (WMA) and Crocodile (West) and Marico WMA WP 10506: Information Analysis Report: Mokolo and Matlabas catchments: Limpopo WMA, Report No: RDM/WMA1,3/00/CON/CLA/0112B, Pretoria, South Africa, 2012. 
Short summary
Channel transmission losses play a significant role in the water balance of the Limpopo River Basin, therefore understanding loss processes and quantifying the impact on water resources is integral for advancing knowledge and improving water resource management. Using three functions of the Pitman Model, loss simulations were conducted and results indicate that all three functions are able to simulate losses,albeit with differing magnitudes. Better quantification requires reliable observed data.