Your search found 12 records
1 Bhatt, Yogesh; Bossio, Deborah; Enfors, E.; Gordon, L.; Kongo, V.; Kosgei, J. R.; Makurira, H.; Masuki, K.; Mul, M.; Tumbo, S. D. 2006. Smallholder system innovations in integrated watershed management (SSI): strategies of water for food and environmental security in drought-prone tropical and subtropical agro-ecosystems. Colombo, Sri Lanka: International Water Management Institute (IWMI). 59p. (IWMI Working Paper 109; SSI Working Paper 1) [doi: https://doi.org/10.3910/2009.294]
Watershed management ; Water resources ; Agroecosystems ; Social aspects ; Environmental effects ; Catchment areas ; River basins ; Hydrology ; Models ; Water productivity ; Water balance ; Water harvesting ; Crop production ; Food production ; Farming systems ; Smallholders ; Research projects / Africa South of Sahara / South Africa / Tanzania / Thukela River Basin / Pangani River Basin
(Location: IWMI-HQ Call no: IWMI 631.7 G100 BHA Record No: H039095)
(684KB)
2 Makurira, H.; Mugumo, M. 2005. Water sector reforms in Zimbabwe: the importance of policy and institutional coordination on implementation. In Swallow, B.; Okono, N.; Achouri, M.; Tennyson, L. (Eds.). Preparing for the next generation of watershed management programmes and projects: Africa. Proceedings of the African Regional Workshop, Nairobi, Kenya, 8-10 October 2003. Rome, Italy: FAO. pp.167-174.
(Location: IWMI HQ Call no: 333.91 G000 100 SWA Record No: H041319)
3 Makurira, H.; Mapani, B.; Mazvimavi, D.; Mul, Marloes; Wepener, V. 2013. Putting science into practice. Editorial. Physics and Chemistry of the Earth, 66:1-3. [doi: https://doi.org/10.1016/j.pce.2013.10.011]
(Location: IWMI HQ Call no: e-copy only Record No: H046233)
(0.15 MB)
4 Makurira, H.; Mapani, B.; Mazvimavi, D.; Mul, Marloes; Tapela, B.; Wepener, V. 2014. Implementing water science research to benefit all. Editorial. Physics and Chemistry of the Earth, 67-69:1-3.
Hydrology ; Models ; Water resources ; Water management ; Water security ; Water scarcity ; Water supply ; Environmental aspects ; Sanitation
(Location: IWMI HQ Call no: e-copy only Record No: H046485)
(0.18 MB)
5 Makurira, H.; Mapani, B.; Mazvimavi, D.; Mul, Marloes L.; Magole, L.; Wepener, V. 2014. Transboundary water cooperation building partnerships (Part 2) Physics and Chemistry of the Earth, 76-78:1-2. [doi: https://doi.org/10.1016/j.pce.2015.05.006]
International waters ; Cooperation ; Hydrology ; Water resources ; Water management ; Water supply ; Sanitation ; Land management
(Location: IWMI HQ Call no: e-copy only Record No: H047079)
6 Mapani, B.; Magole, L.; Makurira, H.; Mazvimavi, D.; Meck, M.; Mul, Marloes. 2016. Managing ground and surface water resources using innovative methods in rural and urban areas of Sub-Saharan Africa. Physics and Chemistry of the Earth, 93:1.
Groundwater management ; Surface water ; Water resources ; Water quality ; Rural areas ; Urban areas ; Hydrology ; Wetlands ; Land use ; Women ; Climate change ; Ecosystems ; Farmers / Africa South of Sahara
(Location: IEMI HQ Call no: e-copy only Record No: H047629)
7 Mapani, B.; Meck, M.; Makurira, H.; Magole, L.; Mashauri, D.; Mazvimavi, D.; Mul, Marloes. 2016. Water: the conveyor belt for sustainable livelihoods and economic development. Physics and Chemistry of the Earth, 92:1-2. [doi: https://doi.org/10.1016/j.pce.2016.04.005]
Economic development ; Sustainable development ; Living standards ; Water resources ; Water management ; Water quality ; Drinking water ; Groundwater ; Wastewater
(Location: IWMI HQ Call no: e-copy only Record No: H047627)
8 Mapani, B.; Magole, L.; Makurira, H.; Meck, M.; Mkandawire, T.; Mul, Marloes. 2017. Integrated water resources management and infrastructure planning for water security in southern Africa. Physics and Chemistry of the Earth, 100:1-2. [doi: https://doi.org/10.1016/j.pce.2017.08.001]
Integrated management ; Water resources ; Water management ; Water security ; Water productivity ; Infrastructure ; Planning ; Hydrology ; Environmental effects ; Land development / sothern Africa
(Location: IWMI HQ Call no: e-copy only Record No: H048266)
9 Mapani, B.; Makurira, H.; Magole, L.; Meck, M.; Mkandawire, T.; Mul, Marloes; Ngongondo, C. 2018. Innovative solutions for intractable water problems in the face of climate change in southern and East African sub regions. Physics and Chemistry of the Earth, 105:1-2.
Climate change ; Water supply ; Water resources ; Water management ; Water use ; Water governance ; Water law ; Water allocation ; Urban areas ; Hydrogeology ; Human behaviour ; Land use / East Africa / South Africa
(Location: IWMI HQ Call no: e-copy only Record No: H048784)
10 Gumindoga, W.; Rientjes, T. H. M.; Haile, Alemseged Tamiru; Makurira, H.; Reggiani, P. 2019. Performance of bias-correction schemes for CMORPH rainfall estimates in the Zambezi River Basin. Hydrology and Earth System Sciences, 23(7):2915-2938. [doi: https://doi.org/10.5194/hess-23-2915-2019]
Rainfall patterns ; Precipitation ; Estimation ; Satellite observation ; Performance evaluation ; River basins ; Water resources ; Weather forecasting ; Meteorological stations ; Rain gauges / Botswana / Malawi / Mozambique / Zambia / Zimbabwe / Zambezi River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H049387)
https://www.hydrol-earth-syst-sci.net/23/2915/2019/hess-23-2915-2019.pdf
https://vlibrary.iwmi.org/pdf/H049387.pdf
https://vlibrary.iwmi.org/pdf/H049387.pdf
(4.60 MB) (4.60 MB)
Satellite rainfall estimates (SREs) are prone to bias as they are indirect derivatives of the visible, infrared, and/or microwave cloud properties, and hence SREs need correction. We evaluate the influence of elevation and distance from large-scale open water bodies on bias for Climate Prediction Center-MORPHing (CMORPH) rainfall estimates in the Zambezi basin. The effectiveness of five linear/non-linear and time–space-variant/-invariant bias-correction schemes was evaluated for daily rainfall estimates and climatic seasonality. The schemes used are spatio-temporal bias (STB), elevation zone bias (EZ), power transform (PT), distribution transformation (DT), and quantile mapping based on an empirical distribution (QME). We used daily time series (1998–2013) from 60 gauge stations and CMORPH SREs for the Zambezi basin. To evaluate the effectiveness of the bias-correction schemes spatial and temporal crossvalidation was applied based on eight stations and on the 1998–1999 CMORPH time series, respectively. For correction, STB and EZ schemes proved to be more effective in removing bias. STB improved the correlation coefficient and Nash–Sutcliffe efficiency by 50 % and 53 %, respectively, and reduced the root mean squared difference and relative bias by 25 % and 33 %, respectively. Paired t tests showed that there is no significant difference (p- q) plots. The spatial cross-validation approach revealed that most bias-correction schemes removed bias by >28 %. The temporal cross-validation approach showed effectiveness of the bias-correction schemes. Taylor diagrams show that station elevation has an influence on CMORPH performance. Effects of distance >10 km from large-scale open water bodies are minimal, whereas effects at shorter distances are indicated but are not conclusive for a lack of rain gauges. Findings of this study show the importance of applying bias correction to SREs.
11 Gumindoga, W.; Rientjes, T. H. M.; Haile, Alemseged Tamiru; Makurira, H.; Reggiani, P. 2019. Performance evaluation of CMORPH satellite precipitation product in the Zambezi Basin. International Journal of Remote Sensing, 40(20):7730-7749. [doi: https://doi.org/10.1080/01431161.2019.1602791]
Rain ; Precipitation ; Satellites ; Weather forecasting ; Performance evaluation ; River basins ; Meteorological stations ; Observation ; Hydrology ; Deltas / Botswana / Mozambique / Malawi / Zimbabwe / Zambia / Zambezi River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H049388)
(2.28 MB)
For evaluation of the Climate Prediction Center-MORPHing (CMORPH) satellite rainfall product in the Zambezi Basin, daily time series (1998–2013) of 60 rain gauge stations are used. Evaluations for occurrence and rain rate are at sub-basin scale and at daily, weekly, and seasonal timescale by means of probability of detection (POD), false alarm ratio (FAR), critical success index (CSI) and frequency bias (FBS). CMORPH predicts 60% of the rainfall occurrences. Rainfall detection is better for the wet season than for the dry season. Best detection is shown for rainfall rates smaller than 2.5 mm/day. Findings on error decomposition revealed sources of Hit, Missed and False rainfall bias. CMORPH performance (detection of rainfall occurrences and estimations for rainfall depth) at sub-basin scale increases when daily estimates are accumulated to weekly estimates. Findings suggest that for the Zambezi Basin, errors in CMORPH rainfall should be corrected before the product can serve applications such as in hydrological modelling that largely rely on reliable and accurate rainfall inputs.
12 Taguta, C.; Nhamo, L.; Kiala, Zolo; Bangira, T.; Dirwai, Tinashe Lindel; Senzanje, A.; Makurira, H.; Jewitt, G. P. W.; Mpandeli, S.; Mabhaudhi, Tafadzwanashe. 2023. A geospatial web-based integrative analytical tool for the water-energy-food nexus: the iWEF 1.0. Frontiers in Water, 5:1305373. [doi: https://doi.org/10.3389/frwa.2023.1305373]
Water resources ; Energy ; Food resources ; Nexus approaches ; Resilience ; Modelling ; Spatial analysis ; Sustainable development ; Resource management ; Decision making / Southern Africa / South Africa
(Location: IWMI HQ Call no: e-copy only Record No: H052483)
https://www.frontiersin.org/journals/water/articles/10.3389/frwa.2023.1305373/pdf?isPublishedV2=false
https://vlibrary.iwmi.org/pdf/H052483.pdf
https://vlibrary.iwmi.org/pdf/H052483.pdf
(1.08 MB) (1.08 MB)
Introduction: The water-energy-food (WEF) nexus has evolved into an important transformative approach for facilitating the timely identification of trade-os and synergies between interlinked sectors for informed intervention and decision-making. However, there is a growing need for a WEF nexus tool to support decision-making on integrated resources management toward sustainable development. Methods: This study developed a geospatial web-based integrative analytical tool for the WEF nexus (the iWEF) to support integrated assessment of WEF resources to support resilience building and adaptation initiatives and strategies. The tool uses the Analytic Hierarchy Process (AHP) to establish numerical correlations among WEF nexus indicators and pillars, mainly availability, productivity, accessibility, and sufficiency. The tool was calibrated and validated with existing tools and data at varying spatio-temporal scales. Results: The results indicate the applicability of the tool at any spatial scale, highlighting the moderate sustainability in the management of WEF resources at various scales. The developed iWEF tool has improved the existing integrative WEF nexus analytical tool in terms of processing time and providing geospatial capabilities. Discussion: The iWEF tool is a digital platform that automatically guides policy and decision-making in managing risk from trade-os and enhancing synergies holistically. It is developed to support policy and decision-making on timely interventions in priority areas that could be showing signs of stress.
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