Reservoir capacity yield analysis.

dc.contributor.authorOjo, Rotimi Ezekiel
dc.descriptionAvailable in print formen_US
dc.description.abstractThree methods of storage yield estimation, frequently in use, were selected for use in a comparative study where the objective is to select those methods with least bias and standard error. Thomas-Fiering seasonal model was used to generate a population of 1350 years of synthetic flow data from a record of thirty four years of flow data on Mitta river. The true population storage volume for each level of yield and time-based probability of failure is obtained by counting, and the storage estimates obtained using the three selected methods are compared with the population volume, which serves as the benchmark, on the basis of bias and standard error. All the three methods were found to have small bias and low standard error. Behaviour analysis is given more credit by virtue of the fact that both carryover droughts and the within year flow fluctuations are automatically taken care of, and there would not be any need to get concerned over the effect of annual flow correlation. However, complementary use of behaviour analysis and modified Gould's methods as storage-yield estimation methods in practice is recommended.en_US
dc.identifier.citationOjo, R. E. (1990). Reservoir capacity yield analysis. Masters dissertation, University of Dar es Salaam. Available at (
dc.publisherUniversity of Dar es Salaamen_US
dc.subjectMitta riveren_US
dc.titleReservoir capacity yield analysis.en_US