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.
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Webster Gumindoga, Tom H. M. Rientjes, Alemseged Tamiru Haile, Hodson Makurira, and Paolo Reggiani
Hydrol. Earth Syst. Sci., 23, 2915–2938, https://doi.org/10.5194/hess-23-2915-2019, https://doi.org/10.5194/hess-23-2915-2019, 2019
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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, https://doi.org/10.5194/piahs-378-1-2018, https://doi.org/10.5194/piahs-378-1-2018, 2018
Peter Kishiwa, Joel Nobert, Victor Kongo, and Preksedis Ndomba
Proc. IAHS, 378, 23–27, https://doi.org/10.5194/piahs-378-23-2018, https://doi.org/10.5194/piahs-378-23-2018, 2018
Webster Gumindoga, Hodson Makurira, and Bezel Garedondo
Proc. IAHS, 378, 43–50, https://doi.org/10.5194/piahs-378-43-2018, https://doi.org/10.5194/piahs-378-43-2018, 2018
Martin Tshikeba Kabantu, Raphael Muamba Tshimanga, Jean Marie Onema Kileshye, Webster Gumindoga, and Jules Tshimpampa Beya
Proc. IAHS, 378, 51–57, https://doi.org/10.5194/piahs-378-51-2018, https://doi.org/10.5194/piahs-378-51-2018, 2018
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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, https://doi.org/10.5194/piahs-378-59-2018, https://doi.org/10.5194/piahs-378-59-2018, 2018
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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, https://doi.org/10.5194/piahs-378-73-2018, https://doi.org/10.5194/piahs-378-73-2018, 2018
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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, https://doi.org/10.5194/piahs-378-85-2018, https://doi.org/10.5194/piahs-378-85-2018, 2018
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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., https://doi.org/10.5194/hess-2016-33, https://doi.org/10.5194/hess-2016-33, 2016
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Cited articles
Ajami, N. K., Hornberger, G. M., and Sunding, D. L.: Sustainable water resource management under hydrological uncertainty, Water Resour. Res., 44, 1–10, 2008.
Anderson, I. P., Moyo, M., Nyamwanza, B., and Brinn, P. J.: Physical resource inventory of the communal lands of Zimbabwe-An Overview, NRI Bulletin 60, Chatham, UK: Natural Resource Institute, 1993.
Arranz, R. and Mccartney, M.: Application of the Water Evaluation And Planning (WEAP) Model to Assess Future Water Demands and Resources in the Olifants Catchment, South Africa (No. H040224), International Water Management Institute, available at: http://www.iwmi.cgiar.org/Publications/Working_Papers/working/WOR116.pdf, (last access: 31 January 2018), 2007.
Buras, N.: An application of mathematical programming in planning surface water storage, J. Am. Water Resour. As., 21, 1013–1020, 1985.
Evers, A. J. M.: Optimizing intra- and inter-seasonal water allocation from an irrigation reservoir subject to stochastic inflows, A Thesis Submitted for the Degree of Doctor of Philosophy, Oklahoma State University, 1992.
Jaagus, J.: Climatic Changes in Estonia during the Second Half of the 20th Century in Relationship with Changes in Large-Scale Atmospheric Circulation, Theor. Appl. Climatol., 83, 77–88, 2006.
Jha, M. and Gupta, A. D.: Application of Mike Basin for Water Management Strategies in a Watershed, Water Int., 28, 27–35, 2003.
Juízo, D. and Lidén, R.: Modeling for transboundary water resources planning and allocation: the case of Southern Africa, Hydrol. Earth Syst. Sci., 14, 2343–2354, https://doi.org/10.5194/hess-14-2343-2010, 2010.
Moyo, S. (Ed.): Zimbabwe environmental dilemma: balancing resource inequities, Harare, Zimbabwe Environmental Research Organisation, 161 pp., 2000.
Mujumdar, P. P. and Nirmala, B.: A Bayesian stochastic optimization model for a multi-reservoir hydropower system, Water Resour. Manag., 21, 1465–1485, https://doi.org/10.1007/s11269-006-9094-3, 2007.
Namchaiswadwong, K., Bhaktikul, K., and Kongjun, T.: Optimization Of Multiple Reservoir Releases Using Genetic Algorithms: Case Study Of Mae Klong River Basin, Thailand, 5th Thaicid National Symposium, p. 10, Beijing, THAICID, 2004.
Reddy, M. J. and Kumar, D. N.: Optimal reservoir operation for irrigation of multiple crops using elitist-mutated particle swarm optimization, Hydrolog. Sci. J., 52, 686–701, https://doi.org/10.1623/hysj.52.4.686, 2007.
Scoones, I., Mavedzenge, B., and Murimbarimba, F.: Sugar, People and Politics in Zimbabwe's Lowveld, J. S. Afr. Stud., 43, 567–584, https://doi.org/10.1080/03057070.2016.1187972, 2017.
Sert, M., Opan, M., and Temiz, T.: Multiobjective Optimal Planning in Multiple Reservoir Systems, International Congress on River Basin Management, 554–567, 2007.
Sharma, P. J., Patel, P. L., and Jothiprakash, V.: Efficient discretization of state variables in stochastic dynamic programming model of Ukai reservoir, India, ISH J. Hydraul. Eng., 22, 293–304, https://doi.org/10.1080/09715010.2016.1204632, 2016.
Tilmant, A., Kinzelbach, W., Beevers, L., and Juizo, D.: Optimal Water Allocation in the Zambezi Basin, 9th International Congress on Environmental Modelling and Software, 188, available at: https://scholarsarchive.byu.edu/iemssconference/2010/all/188 (last access: 31 January 2018), 2010.
Tsoukalas, I. and Makropoulos, C.: Hydrosystem Optimization With the Use of Evolutionary Algorithms?: the Case of Nestos River, 13th International Conference on Environmental Science and Technology (CEST2013), At Athens, Greece, 1972.
Vedula, S. and Mujumdar, P. P.: Water Resources Systems, New Delhi, India, Tata McGraw-Hill Education, 2005.
Vincent, V. and Thomas, R. G.: An agro-ecological survey of Southern Rhodesia: Part I agro-ecological survey, Salisbury, Government Printers, 1961.
Zimbabwe Water Act: chap. 20:24, Harare, Government Printers, available at: www.parlzim.gov.zw/acts-list/water-act-20-24, (last access: 31 January 2018), 1998.