Abstract
The estimation of extreme rainfall for a desired return period is of utmost importance for planning, design and management of hydraulic and other structures in a region. This paper presents the methodology adopted in rainfall estimation for Hissar and Kalingapatnam regions using six parameter estimation methods of Gumbel distribution. The Kolmogorov–Smirnov (KS) statistic is used for checking the adequacy of fitting of the method for determination of estimators of the distribution. Diagnostic tests involving D-index and root mean square error are used for the selection of a suitable method for estimation of rainfall. The paper demonstrates that the method of least squares (MLS) is better suited for modelling annual maximum rainfall for Hissar and probability weighted moments (PWM) for Kalingapatnam. The KS test results and diagnostic analysis show that the 1000 year return period extreme rainfalls given by MLS and PWM may be adopted for design purposes in the Hissar and Kalingapatnam regions respectively.
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