Articles | Volume 378
Post-conference publication 29 May 2018
Post-conference publication | 29 May 2018
Optimal water resource allocation modelling in the Lowveld of Zimbabwe
Delight Mhiribidi et al.
No articles found.
Webster Gumindoga, Tom H. M. Rientjes, Alemseged Tamiru Haile, Hodson Makurira, and Paolo Reggiani
Hydrol. Earth Syst. Sci., 23, 2915–2938,Short summary
We evaluate the influence of elevation and distance from large-scale open water bodies on bias for CMORPH satellite rainfall in the Zambezi basin. Effects of distance > 10 km from water bodies are minimal, whereas the effects at shorter distances are indicated but are not conclusive for lack of rain gauges. Taylor diagrams show station elevation influencing CMORPH performance. The
spatio-temporaland newly developed
elevation zonebias schemes proved more effective in removing CMORPH bias.
Hodson Makurira, Dominic Mazvimavi, Evison Kapangaziwiri, Jean-Marie Kileshye Onema, and Webster Gumindoga
Proc. IAHS, 378, 1–1,
Peter Kishiwa, Joel Nobert, Victor Kongo, and Preksedis Ndomba
Proc. IAHS, 378, 23–27,
Webster Gumindoga, Hodson Makurira, and Bezel Garedondo
Proc. IAHS, 378, 43–50,
Martin Tshikeba Kabantu, Raphael Muamba Tshimanga, Jean Marie Onema Kileshye, Webster Gumindoga, and Jules Tshimpampa Beya
Proc. IAHS, 378, 51–57,Short summary
This study was done in order to promote the use of remote sensing products when dealing water resources in the Congo river basin. It is the first step of a large research on the evaluation of the performance of remote sensing products on water resources modeling in the Congo river basin.
Thomas Matingo, Webster Gumindoga, and Hodson Makurira
Proc. IAHS, 378, 59–65,Short summary
This paper is about evaluation of sub daily satellite rainfall estimates through flash flood modelling. The 30 minute timestep for CMORPH captures flash floods effectively and for TRMM the 3 hr timestep was the best. In general CMORPH performed better than TRMM in termsof NSE and RVE when applied to HEC-HMS model. It can be concluded that floods occur rapidly and the chances of capturing them are higher when finer resolution are applied.
Jose A. Malanco, Hodson Makurira, Evans Kaseke, and Webster Gumindoga
Proc. IAHS, 378, 73–78,Short summary
This study determines the actual causes of water shortage at Mushandike Irrigation Scheme in Zimbabwe. The water stress at the scheme has been largely attributed to climate change and the uncontrolled expansion of the land under irrigation. Results show that water shortages at the scheme are a result of over-abstraction from the dam beyond the firm yield, adoption of inefficient irrigation methods and high channel losses in the canal system and are not related to hydro-climatic conditions.
Ronald Muchini, Webster Gumindoga, Sydney Togarepi, Tarirai Pinias Masarira, and Timothy Dube
Proc. IAHS, 378, 85–92,Short summary
This paper presents an automated computer based system for determining water quality and pollution. The system results are presented in the form of a map showing the status of water at each and every point in the lake by the click of a button. A case study of Lakes Chivero and Manyame of Zimbabwe.
W. Gumindoga, T. H. M. Rientjes, A. T. Haile, H. Makurira, and P. Reggiani
Hydrol. Earth Syst. Sci. Discuss.,
Manuscript not accepted for further review
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