Your search found 23 records
1 Brooks, D. B.; Rached, E.; Saade, M. (Eds.) 1997. Management of water demand in Africa and the Middle East: Current practices and future needs. Ottawa, Canada: IDRC. xi, 78p.
(Location: IWMI-HQ Call no: 333.91 G100 BRO Record No: H024130)
2 Omwega, A. 1997. Water demand management networking in Eastern Africa. In Brooks, D. B.; Rached, E.; Seedy, M. (Eds.), Management of water demand in Africa and the Middle East: Current practices and future needs. Ottawa, Canada: IDRC. pp.19-22.
(Location: IWMI-HQ Call no: 333.91 G100 BRO Record No: H024133)
3 Mundy, P. 1999. Reducing poverty through agricultural sector strategies in eastern and southern Africa: Summary report of a workshop, Wageningen, the Netherlands, 23-25 November 1998. Brussels, Belgium; Wageningen, Netherlands: EC; CTA. vi,50p.
(Location: IWMI-HQ Call no: 339.46 G100 MUN Record No: H024584)
4 Richmond, M. D. (Ed.) 1997. A guide to the seashores of Eastern Africa and the Western Indian Ocean islands. Zanzibar, Tanzania: SIDA. 448p.
(Location: IWMI-HQ Call no: 574.52638 G100 RIC Record No: H025497)
(Location: IWMI HQ Call no: IWMI 631.7 G140 BLA Record No: H030816)
(0.39 MB)
6 Dixon, A. B.; Wood, A. P. 2003. Wetland cultivation and hydrological management in eastern Africa: Matching community and hydrological needs through sustainable wetland use. Natural Resources Forum, 27(2):117-129.
(Location: IWMI-HQ Call no: PER Record No: H031830)
7 Beukes, D.; de Villiers, M.; Mkhize, S.; Sally, H.; van Rensburg, L. (Eds.) 2003. Proceedings of the Symposium and Workshop on Water Conservation Technologies for Sustainable Dryland Agriculture in Sub-Saharan Africa (WCT), held at Bloem Spa Lodge and Conference Centre, Bloemfontein, South Africa, 8-11 April 2003. Pretoria, South Africa:: ARC-Institute for Soil, Climate and Water. viii, .287p.
(Location: IWMI HQ Call no: IWMI 631.7.1 G100 BEU Record No: H033573)
(0.50 MB)
8 Mati, B. M.; de Lange, M. 2003. Emerging practices and water management under rainfed agriculture in eastern Africa. In Beukes, D.; de Villiers, M.; Mkhize, S.; Sally, H.; van Rensburg, L. (Eds.). Proceedings of the Symposium and Workshop on Water Conservation Technologies for Sustainable Dryland Agriculture in Sub-Saharan Africa (WCT), held at Bloem Spa Lodge and Conference Centre, Bloemfontein, South Africa, 8-11 April 2003. Pretoria, South Africa: ARC-Institute for Soil, Climate and Water. pp.209-218.
(Location: IWMI-HQ Call no: IWMI 631.7.1 G100 BEU Record No: H033575)
(Location: IWMI HQ Call no: 630 G000 DEN Record No: H040398)
(Location: IWMI HQ Call no: 362.1 G000 DEN Record No: H040399)
11 Hoffman, C.; Melesse, A. M.; McClain, M. E. 2011. Geospatial mapping and analysis of water availability, demand and use within the Mara River Basin. In Melesse, A. M. (Ed.). Nile River Basin: hydrology, climate and water use. Dordrecht, Netherlands: Springer. pp.359-382.
(Location: IWMI HQ Call no: 551.483 G136 MEL Record No: H044038)
(Location: IWMI HQ Call no: 621.3678 G000 WAR Record No: H045035)
(0.46 MB)
(Location: IWMI HQ Call no: e-copy only Record No: H046232)
(3.30 MB)
In arid and semi-arid areas, evaporation fluxes are the largest component of the hydrological cycle, with runoff coefficient rarely exceeding 10%. These fluxes are a function of land use and land management and as such an essential component for integrated water resources management. Spatially distributed land use and land cover (LULC) maps distinguishing not only natural land cover but also management practices such as irrigation are therefore essential for comprehensive water management analysis in a river basin. Through remote sensing, LULC can be classified using its unique phenological variability observed over time. For this purpose, sixteen LULC types have been classified in the Upper Pangani River Basin (the headwaters of the Pangani River Basin in Tanzania) using MODIS vegetation satellite data. Ninety-four images based on 8 day temporal and 250 m spatial resolutions were analyzed for the hydrological years 2009 and 2010. Unsupervised and supervised clustering techniques were utilized to identify various LULC types with aid of ground information on crop calendar and the land features of the river basin. Ground truthing data were obtained during two rainfall seasons to assess the classification accuracy. The results showed an overall classification accuracy of 85%, with the producer’s accuracy of 83% and user’s accuracy of 86% for confidence level of 98% in the analysis. The overall Kappa coefficient of 0.85 also showed good agreement between the LULC and the ground data. The land suitability classification based on FAO-SYS framework for the various LULC types were also consistent with the derived classification results. The existing local database on total smallholder irrigation development and sugarcane cultivation (large scale irrigation) showed a 74% and 95% variation respectively to the LULC classification and showed fairly good geographical distribution. The LULC information provides an essential boundary condition for establishing the water use and management of green and blue water resources in the water stress Pangani River Basin.
(Location: IWMI HQ Call no: e-copy only Record No: H046302)
[1] Evapotranspiration (ET) accounts for a substantial amount of the water use in river basins particular in the tropics and arid regions. However, accurate estimation still remains a challenge especially in large spatially heterogeneous and data scarce areas including the Upper Pangani River Basin in Eastern Africa. Using multitemporal Moderate-resolution Imaging Spectroradiometer (MODIS) and Surface Energy Balance Algorithm of Land (SEBAL) model, 138 images were analyzed at 250 m, 8 day scales to estimate actual ET for 16 land use types for the period 2008–2010. A good agreement was attained for the SEBAL results from various validations. For open water evaporation, the estimated ET for Nyumba ya Mungu (NyM) reservoir showed a good correlations (R = 0.95; R2 = 0.91; Mean Absolute Error (MAE) and Root Means Square Error (RMSE) of less than 5%) to pan evaporation using an optimized pan coefficient of 0.81. An absolute relative error of 2% was also achieved from the mean annual water balance estimates of the reservoir. The estimated ET for various agricultural land uses indicated a consistent pattern with the seasonal variability of the crop coefficient (Kc) based on Penman-Monteith equation. In addition, ET estimates for the mountainous areas has been significantly suppressed at the higher elevations (above 2300 m a.s.l.), which is consistent with the decrease in potential evaporation. The calculated surface outflow (Qs) through a water balance analysis resulted in a bias of 12% to the observed discharge at the outlet of the river basin. The bias was within 13% uncertainty range at 95% confidence interval for Qs. SEBAL ET estimates were also compared with global ET from MODIS 16 algorithm (R = 0.74; R2 = 0.32; RMSE of 34% and MAE of 28%) and comparatively significant in variance at 95% confidence level. The interseasonal and intraseasonal ET fluxes derived have shown the level of water use for various land use types under different climate conditions. The evaporative water use in the river basin accounted for 94% to the annual precipitation for the period of study. The results have a potential for use in hydrological analysis and water accounting.
(Location: IWMI HQ Call no: 630 G000 INT Record No: H046693)
(16.90 MB) (16.9 MB)
(Location: IWMI HQ Call no: e-copy only Record No: H046880)
In this study, we assessed the accuracy of rainfall occurrence, amount and distribution over the Lake Tana basin in Ethiopia, Eastern Africa, as represented in the NOAA satellite-based Climate Prediction Center Morphing technique (CMORPH) rainfall product. This analysis is carried out at high spatial and temporal resolutions (8 × 8 km2 and daily) using observations from rain gauges as a reference for the period covering January 2003 to December 2006. Graphical comparisons and several statistical metrics such as bias, correlation coefficient, and standard deviation of rainfall differences are used to perform the evaluation analysis. Spatial maps of these statistical metrics were developed to assess the spatial dependency in the CMORPH accuracy. The bias is decomposed into different components, hit, missed, and false, in order to gain additional insight into the possible sources of systematic deviations in CMORPH. Overall, CMORPH was able to capture the seasonal and spatial patterns of rainfall over the basin, but with varying degrees of accuracy that depend on topography, latitude and lake-versus-land conditions within the basin. The results show that CMORPH captured rain occurrence relatively well in both wet and dry seasons over the southern part of the basin but it significantly overestimated those over the lake and its southern shore. The bias of CMORPH in the study area is characterized by seasonal and spatial variations (-25 to 30% in wet season and -40 to 60% in dry season). False as well as missed rains contribute significantly to the total rainfall amounts over the basin. Significant levels of the differences are observed at the daily resolution of CMORPH. The relation between CMORPH and gauge rainfall amounts is stronger (correlationmostly N0.4) in thewet season than in the dry (mostly b0.4).
(Location: IWMI HQ Call no: e-copy only Record No: H047797)
(3.62 MB)
The objective of this review is to evaluate recent quantitative changes in streamflow and lake water levels in drainage basins of Eastern and Southern Africa. Findings indicate that the majority of analyzed case studies report decreasing streamflow or lake water levels between 1970 and 2010. The causes of change are chiefly anthropogenic, namely water withdrawal, land use and land cover change, and dams, and only to a lesser degree climate-related. However, there are distinct regional and temporal differences regarding reported changes and causes, e.g. land use and land cover change being mainly attributed to Eastern Africa, and dams to Southern Africa.
18 Kiptala, J. K. 2016. Managing basin interdependencies in a heterogeneous, highly utilized and data scarce river basin in semi-arid Africa: the case of the Pangani River Basin, eastern Africa. PhD thesis. Leiden, Netherlands: CRC Press - Balkema. 174p.
(Location: IWMI HQ Call no: 333.91 G132 KIP Record No: H047471)
(10 MB)
19 Lazurko, Anita. 2018. Assessing the value of resource recovery and reuse: social, environmental and economic costs and benefits for value creation and human well-being. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Research Program on Water, Land and Ecosystems (WLE). 41p. (Resource Recovery and Reuse Series 13) [doi: https://doi.org/10.5337/2018.229]
(Location: IWMI HQ Call no: IWMI Record No: H049081)
(1 MB)
To understand the full value of Resource Recovery and Reuse (RRR), a systematic assessment approach that balances complexity with practicality is required. This report highlights the methods available for quantifying and valuing social, environmental and economic costs and benefits of RRR, focusing on Cost-Benefit Analysis (CBA) as the primary framework. Rather than prescribing a standardized technique for conducting CBA for RRR, this report presents broad frameworks and several examples that can be catered to individual contexts. This results in a suggested eight-step process accompanied with suggested assessment techniques which have to be tailored to the type of question the assessment is meant to answer and related system boundaries.
20 Makochekanwa, A.; Matchaya, Greenwell. 2019. Regional trade integration in eastern and southern Africa. In Bouet, A.; Odjo, S. P. (Eds.). Africa agriculture trade monitor 2019. Washington, DC, USA: International Food Policy Research Institute (IFPRI). pp.134-179.
(Location: IWMI HQ Call no: e-copy only Record No: H049471)
(2.40 MB) (12.2 MB)
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