COMPARISON OF FLOOD FREQUENCY ANALYSIS METHODS FOR RIVER TARABA

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dc.contributor.authorOVAJIMOH, ABUBAKAR SALIHU
dc.date.accessioned2014-11-06T07:14:35Z
dc.date.available2014-11-06T07:14:35Z
dc.date.issued1991-11
dc.descriptionA PROJECT REPORT SUBMITTED TO THE POSTGRADUATE SCHOOL, AHMADU BELLO UNIVERSITY, IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE AWARD OF THE DEGREE 0F MASTER OF SCIENCE IN WATER RESOURCES AND ENVIRONMENTAL ENGINEERING. DEPARTMENT OF WATER RESOURCES AND ENVIRONMENTAL ENGINEERING AHMADU BELLO UNIVERSITY ZARIA, NIGERIA NOVEMBER, 1991en_US
dc.description.abstractWater resource designs based on flood are perfect examples of decisions under uncertainty. Three types of uncertainties may exist in a flood design problem - when the classical method is used. These are natural, parameter and model uncertainties. To reduce the parameter and model uncertainties, the Bayesian procedure has been used. Three common probability distributions (normal, log-normal, and exceedance) were considered. To reduce the parameter uncertainty, the Bayesian procedure was applied to these three distributions to give the corresponding Bayesian probability models. To achieve this objective, flood discharge data collected from Gassol gaging station we re taken as the sample information while flood discharge data from eleven other selected gaging stations in the same homogeneous area as Gassol in Upper Benue River Basin were considered to be the prior (regional) information. Natural uncertainty is also reduced by this proceedure. To reduce the model uncertainty, Bayesian procedure was also applied to estimate the marginal likelihoods of the three models. Results showed that only the exceedance model fits the flood discharge data. Comparison of the classical method with Bayesian method shows that Bayesian method predicts higher flood discharges than the classical method. Also comparison of the regional (prior) method (only in the case of exceedance model) shows that the Bayesian method predicts lower discharges than the regional informationen_US
dc.identifier.urihttps://kubanni.abu.edu.ng/handle/123456789/5556
dc.language.isoenen_US
dc.subjectCOMPARISON,en_US
dc.subjectFLOOD,en_US
dc.subjectFREQUENCY,en_US
dc.subjectANALYSIS,en_US
dc.subjectRIVER TARABAen_US
dc.titleCOMPARISON OF FLOOD FREQUENCY ANALYSIS METHODS FOR RIVER TARABAen_US
dc.typeThesisen_US
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