STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Water Resource Engineering and Management

Intercomparison of Parameter Estimation Methods of EVI Distribution for Rainfall Frequency Analysis

  1. N VIVEKANANDAN

Abstract

For planning, design and management of civil and hydraulic structures, estimation of extreme rainfall for a given return period is considered as one of the important parameters. This can be achieved through Extreme Value Analysis (EVA) by fitting of Extreme Value Type-I (EVI) distribution to the observed data. In this paper, a comparative study on determination of parameters of EVI distribution by eight different methods such as graphical method, method of moments, maximum likelihood method, method of least squares, L-moments, probability weighted moments, principle of maximum entropy and order statistics approach for EVA of rainfall is carried out. The adequacy on fitting of EVI distribution adopted for EVA of rainfall is evaluated by applying Goodness-of-Fit tests viz., Anderson-Darling and Kolmogorov-Smirnov and diagnostic test viz., correlation coefficient, model efficiency, mean absolute error and root mean squared error. The paper presents the methodology adopted in EVA of rainfall with illustrative example and the results obtained thereof.

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