Flood frequency analysis of southern Africa: II. Identification of regional distributions |
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| Authors: | S. H. MKHANDI R. K. KACHROO T. A. G. GUNASEKARA |
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| Affiliation: | 1. Water Resources Engineering Programme , University of Dar es Salaam , PO Box 35131, Dar es Salaam, Tanzania E-mail: wrep@udsm.ac.tz;2. Open University , Colombo, Sri Lanka |
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| Abstract: | Abstract Regional frequency analysis of annual maximum flood data comprising 407 stations from 11 countries of southern Africa is presented. Forty-one homogeneous regions are identified. The L-moments of the observed data indicate that the possible underlying frequency distributions are Pearson type 3 (P3), lognormal 3-parameter (LN3), General Pareto (GPA) or General Extreme Value (GEV). Simulation experiments for the selection of the most suitable flood frequency procedure indicate that Pearson type 3/Probability Weighted Moments (P3/PWM) and log-Pearson type 3/Method of Moments (LP3/MOM) are suitable procedures for the region. |
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| Keywords: | SVAT model data assimilation extended Kalman filter effective parameters New South Wales Australia |
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