Fitting extreme value distributions to the Zambezi River flood water levels recorded at Katima Mulilo in Namibia (1965-2003)

Koen, ChrisBlignaut, Renette JKamwi, Innocent Silibelo2022-03-072024-05-142022-03-072024-05-142005https://hdl.handle.net/10566/14879>Magister Scientiae - MScThis study sought to identify and fit the appropriate extreme value distribution to flood data, using the method of maximum likelihood. To examine the uncertainty of the estimated parameters and evaluate the goodness of fit of the model identified. The study revealed that the three parameter Weibull and the generalised extreme value (GEV) distributions fit the data very well. Standard errors for the estimated parameters were calculated from the empirical information matrix. An upper limit to the flood levels followed from the fitted distribution.enExtreme value theoryGeneralized extreme value distributionQQ plotsLimit to flood levelsAnnual maximum flood levelWeibull distributionZambezi riverLikelihood ratio testingEmpirical information matrixFitting extreme value distributions to the Zambezi River flood water levels recorded at Katima Mulilo in Namibia (1965-2003)University of the Western Cape