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dc.contributor.authorMohammed, Suleiman Yahaya-
dc.contributor.authorIfabiyi, Ifatokun Paul-
dc.date.accessioned2021-06-20T00:11:08Z-
dc.date.available2021-06-20T00:11:08Z-
dc.date.issued2014-05-
dc.identifier.issnISSN 2225-8612 (Print) ISSN 2227-5444 (Online)-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/3969-
dc.descriptionJournal Articleen_US
dc.description.abstractAbstract Reservoir operation and management is usually patterned after the background of long standing water resources management experience. Reservoir management for optimum power production at any hydropower station requires constant assessment of the quantity of available water. The hydrographic responses of flow monitoring and statistical analysis of instrumental hydro-met records, especially rainfall and stream flow provide the necessary springboard for sound Abstract Reservoir operation and management is usually patterned after the background of long standing water resources management experience. Reservoir management for optimum power production at any hydropower station requires constant assessment of the quantity of available water. The hydrographic responses of flow monitoring and statistical analysis of instrumental hydro-met records, especially rainfall and stream flow provide the necessary springboard for sound Abstract Reservoir operation and management is usually patterned after the background of long standing water resources management experience. Reservoir management for optimum power production at any hydropower station requires constant assessment of the quantity of available water. The hydrographic responses of flow monitoring and statistical analysis of instrumental hydro-met records, especially rainfall and stream flow provide the necessary springboard for soundAbstract Reservoir operation and management is usually patterned after the background of long standing water resources management experience. Reservoir management for optimum power production at any hydropower station requires constant assessment of the quantity of available water. The hydrographic responses of flow monitoring and statistical analysis of instrumental hydro-met records, especially rainfall and stream flow provide the necessary springboard for soundAbstract Reservoir operation and management is usually patterned after the background of long standing water resources management experience. Reservoir management for optimum power production at any hydropower station requires constant assessment of the quantity of available water. The hydrographic responses of flow monitoring and statistical analysis of instrumental hydro-met records, especially rainfall and stream flow provide the necessary springboard for sound operational decisions. Statistical analysis of hydrometeorological data (rainfall, inflow, reservoir storage and turbine release) at Shiroro dam was carried out with the aim of detecting spatio - temporal trends. Correlation and regression analysis were used to develop models for the variables. The correlation of between 0.120 and 0.774 revealed favourable relationships between the variables. This has invariably affected reservoir storage at the dam as excess water is released from the dam to sustain power generation over the years. It is recommended that dam operators optimize the release of water from Shiroro dam and ensure continuous monitoring of changes in hydrometeorological variables to provide early warning systems for effective performance of the dam and to protect downstream environment.en_US
dc.language.isoenen_US
dc.publisherAFRREV STECH An International Journal of Science and Technology Bahir Dar, Ethiopiaen_US
dc.relation.ispartofseries;Volume 3, Issue 2,-
dc.subjectKey words: Rainfall Variability, Reservoir Management, Environment, Dam, Storageen_US
dc.titleTHE ROLE OF RAINFALL VARIABILITY IN RESERVOIR STORAGE MANAGEMENT AT SHIRORO HYDROPOWER DAM, NIGERIAen_US
Appears in Collections:Geography

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