Rainfall Frequency Analysis Using Annual Maximum Approach
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 8, Pages 3973-3984
AbstractThis paper presents an overview of the findings of the research about the rainfall frequency analysis. The annual maximum daily rainfall data were used to examine rainfall frequency analysis for the Sungai Junjung and Sungai Batu Ferringhi, Penang, Malaysia. The objective of this study is to estimate the return period of maximum rainfall at a particular location since it is important for the planning, design, and management of those particular areas. The L-moment method is used to estimate the parameters for five probability distribution functions, namely Gumbel, Generalized Extreme Value, Lognormal (3-parameter), Generalized Pareto Distribution, and Generalized Logistic Distribution. The Kolmogorov-Smirnov (KS), is utilized to establish the adequacy of fitness of these probability distributions to the recorded data. The results of the KS test show that the Lognormal (3-parameter) is the most appropriate distribution for the Kolam Air Bukit Berapit station, while Generalized Pareto Distribution is the most appropriate distribution for the Tali Air Besar Sungai Pinang station. Finally, the return value and return period were generated using the selected probability distribution function. In conclusion, Sungai Junjung shows highly return value compare to Sungai Batu Ferringhi. But Sungai Batu Feringgi receives more frequent high rainfall based on a slightly high mean value of daily rainfall.
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