Regional analysis of maximum rainfall using L-moment and TL-moment: a comparative case study for the north East India
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Abstract
In this study it has been tried to develop a suitable model for maximum rainfall frequency analysis of the North East India using best fit probability distribution. The methods of L-moment have been employed for estimation of five probability distributions, namely Generalized extreme value (GEV), Generalized Logistic (GLO), Pearson type 3 (PE3), 3 parameter Log normal (LN3) and Generalized Pareto (GPA) distributions. The methods TL-moment have been used for estimating the parameters of three probability distributions namely Generalized extreme value (GEV), Generalized Logistic (GLO) and Generalized Pareto (GPA) distributions. PE3 distribution has been selected as the best fit distribution using L-moment and GPA distribution using TL-moment method. Relative root mean square error (RRMSE) and Relative Bias (RBIAS) are employed to compare between the results found from L-moment and TL-moment analysis. It is found that PE3 distribution designated by L-moment method is the most suitable and the best fit distribution for rainfall frequency analysis of the North East India. Also the L-moment method is significantly more efficient than TL-moment.
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L-moment, TL-moments, Probability distribution
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