Development and application of decision support tools for lake Victoria sub-catchments

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dc.contributor.authorMohamed, Hussein Gadain
dc.date.accessioned2019-12-06T11:09:08Z
dc.date.accessioned2020-01-07T14:44:02Z
dc.date.available2019-12-06T11:09:08Z
dc.date.available2020-01-07T14:44:02Z
dc.date.issued2013
dc.descriptionAvailable in print form, East Africana Collection, Dr. Wilbert Chagula Libraryen_US
dc.description.abstractLake Victoria is an important hydrological system that serves its bordering countries and the Nile basin. Its sub-catchments are one of the most densely populated areas in East Africa. This has led to mounting pressure on the available land and water resources, resulting into increased water demands, lake level fluctuations, forest degradation and floods. Pressure on these resources and others is expected to increase even further. The objective of this study was to develop and apply decision support tools for the Lake Victoria sub-catchments. Hydrological models have received increasing recognition in recent years as effective tools in supporting water resources management decisions. Four models that operate independently, and an impact assessment model have been developed in the form of decision support tools using results of remote sensing analyses, GIS technology and hydro-meteorological data. These are: LVIC_SRM (Lake Victoria Spatial Rainfall Model), LVIC_RRM (Lake Victoria Rainfall-Runoff Model), LVIC_IFS (Lake Victoria Inflow Forecasting System), LVIC_WBAL (Lake Victoria Water Balance Model), and LVIC_IAM (Lake Victoria Impact Assessment Model). Various hydrological analyses were performed and outputs obtained using these models. Using LVIC_SRM by incorporating satellite and observed rain gauge data into the krigging models improved rainfall estimation when compared to single variable krigging. A relation between rainfall over the lake and its basin was built and has improved significantly with use of satellite data. LVIC_WBAL model established that rainfall constitutes 85% of the total lake inflow making the water level highly sensitive to changes in rainfall. Earlier and recent level rise were captured with reasonable accuracy and were attributed mainly to increase in rainfall in the area. The future behaviour of the lake was predicted using a stochastic data generator, and that future lake level will not follow a particular trend. Using satellite images the study demonstrated that, stream flow in the Mara catchment has changed leading to increased peak flows and there is likelihood of occurrence of flash floods during wet season and lowered flows during dry season. The decline in natural vegetation has been attributed to deforestation and increased agriculture among others. With the help of the inflow forecasting system, potential flood areas in Nyando river can be delineated and at risk population be alerted in advance and evacuated. Further, the impact on lake hydrology was assessed using development scenarios of agriculture, water supply and increased outflow. Through LVIC_IAM the study concluded that, irrigating 3% of arable lands in the lake basin has higher impacts on lake hydrology when compared to water withdrawal for domestic purposes in Tanzania. Provided reasonable data availability, the impact model could be useful tool for water development in the lake basin. The models are specific decision support tools for Lake Victoria sub-catchments and the study recommends their wider application in other tropical catchments with similar characteristics.en_US
dc.identifier.citationMohamed, H. G (2013) Development and application of decision support tools for lake Victoria sub-catchments, Master dissertation, University of Dar es Salaamen_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/921
dc.language.isoenen_US
dc.publisherUniversity of Dar es Salaamen_US
dc.subjectDecision supporten_US
dc.subjectVictoria sub-catchmentsen_US
dc.titleDevelopment and application of decision support tools for lake Victoria sub-catchmentsen_US
dc.typeThesisen_US
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