Vivekananand, N. <br/><br/>
COMPARISON OF EXTREME RAINFALL ESTIMATES USING L-MOMENTS OF SIX PROBABILITY DISTRIBUTIONS 

 - Vol,41(2), Apr 
 - Roorkee  Indian Water Resources Society  2021 
 - 35-40p 
<br/><br/> Estimation of rainfall for a given return period is utmost importance for planning, design and management of hydraulic structures. This can<br/>be achieved through Extreme Value Analysis (EVA) by fitting probability distributions (PDs) to the series of annual 1-day maximum rainfall<br/>data. In this paper, a study on comparison of extreme rainfall estimates using L-Moments (LMO) of six PDs such as Exponential, Extreme<br/>Value Type-1, Extreme Value Type-2, Generalized Extreme Value (GEV), Generalized Pareto and Log-Normal for Afzalpur and Kalaburagi<br/>sites is carried out. The adequacy of fitting six PDs adopted in EVA of rainfall is quantitatively assessed by applying the Goodness-of-Fit<br/>(GoF) (viz., Chi-square and Kolmogorov-Smirnov) and diagnostic (viz., D-index) tests, and qualitatively assessed by using the probability<br/>plots of the estimated rainfall. The EVA results of rainfall indicate the GEV (using LMO) is better suited amongst six PDs adopted for<br/>estimation of rainfall at Afzalpur and Kalaburagi sites 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Civil Engineering