University of Khartoum

Streamflow Forecasting Using Semi Distributed Modelling Technique Case Study Of Blue Nile Basin, Eddeim Catchment

Streamflow Forecasting Using Semi Distributed Modelling Technique Case Study Of Blue Nile Basin, Eddeim Catchment

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dc.contributor.advisor Dr. Kamal Bashar en_US
dc.contributor.author Elrasheed, Nazik Elmalaika
dc.date.accessioned 2015-04-30T09:20:31Z
dc.date.available 2015-04-30T09:20:31Z
dc.date.issued 2015-04-30
dc.date.submitted 2007-07
dc.identifier.uri http://khartoumspace.uofk.edu/handle/123456789/9956
dc.description.abstract Realistic and accurate streamflow forecasts are an essential tool for water resources planning and management. Skilled forecast provides the information necessary to facilitate planning of reservoir releases and diversions throughout the system, water supply, irrigation system, flood control, and early flood warning system. Hydrological models provide a utility of streamflow forecast, and timely flood warning. There are many types of hydrological models as described in hydrological models classification. The research effort on distributed modeling has increased considerably in recent years, because there is a hope that physically based models will provide more acceptable predictions than those of lumped or more conceptual model, whereas many distributed models claim to be physically based, also the availability of spatial datasets, such as digital elevation data and remote sensing images, and the rapid penetration of geographical information system (GIS) techniques into hydrology is encouraging the development of models make use of such datasets, and the increasing of computer power is making the application of distributed models more feasible in practical, as opposed to research, applications. This study present one of the most recently developed spatially semi distributed, physically based hydrological model known as FEWS NET-Stream Flow Model (SFM), used to forecast streamflow, and monitoring wide area flood risk. The model is forced by daily estimates of rainfall and evapotranspiration derived from remotely sensed data and v assimilation fields. Model parameters were derived from widely available continental-scale datasets for topography, soils, and land cover. The model was applied at Eddeim catchment, which is apart of Blue Nile basin, with an average area of 201,346 km2, most of this area is located in Ethiopia. The model performed well in simulating the timing and the magnitude of the Blue Nile flow at Eddeim gauging station during the first period (1995-1998), and the second period (2002-2003). From the obtained results the model can be recommended to be used as an early flood warning system. en_US
dc.language.iso en_US en_US
dc.publisher UOFK en_US
dc.subject Streamflow,Forecasting,Semi Distributed,Modelling en_US
dc.title Streamflow Forecasting Using Semi Distributed Modelling Technique Case Study Of Blue Nile Basin, Eddeim Catchment en_US
dc.type Thesis en_US
dc.Degree M.Sc en_US
dc.Faculty Faculty of Engineering and Arcgitecture en_US
dc.contributor.faculty Department of Civil Engineering en_US

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