Estimating Exceedance Probability of Extreme Water Levels of the Akosombo dam

  • Eric Ocran University of Ghana
Keywords: Extreme value theory, Generalized extreme value distribution, Maximum likelihood estimation, Exceedance probabilities, Tail behaviour

Abstract

The Akosombo dam is a major source of electric energy in Ghana. Considering the current increase in the demand for electricity in the country, where such an increase in demand implies more pressure on the dam, it is of key interest to study the tail behaviour of the water levels of the dam. Such a study is important because the level of water in the dam determines the amount of electricity generated. The study employed the Univariate Extreme Value Theory to model the monthly maximum and minimum water levels of the dam. The Generalized Extreme Value Distribution was fitted to the data and the Maximum likelihood estimation method was employed to estimate the model parameters. The study indicated that, the water levels cannot fall below 226.00 ft which is the critical water level of the Akosombo dam. It further showed that, the lowest ever level of water the dam can attain is 226.69 ft and the highest 279.07 ft. The study also found that, though the water cannot fall below the critical level, there was evidence of its falling below the minimum operation head.

Author Biography

Eric Ocran, University of Ghana

Department of Statistics

Published
2021-03-02