Comparison of Probability Distributions for Extreme Value Analysis of Wind Speed Data

International Journal of Geoinformatics and Geological Science

© 2018 by SSRG - IJGGS Journal

Volume 5 Issue 3

Year of Publication : 2018

Authors : N. Vivekanandan, R.S.Jagtap, C.Srishailam

10.14445/23939206/IJGGS-V5I3P102

How to Cite?

N. Vivekanandan, R.S.Jagtap, C.Srishailam, "Comparison of Probability Distributions for Extreme Value Analysis of Wind Speed Data," SSRG International Journal of Geoinformatics and Geological Science, vol. 5,  no. 3, pp. 16-23, 2018. Crossref, https://doi.org/10.14445/23939206/IJGGS-V5I3P102

Abstract:

Estimation of the occurrence of Extreme Wind Speed (EWS) for a particular return period is carried out by fitting of Probability Distribution (PD) to the observed wind speed data to arrive at a design value for designing of civil and hydraulic structures. This paper illustrates the adoption of five PDs such as Exponential, Extreme Value Type-1, Extreme Value Type-2, Generalized Extreme Value (GEV) and Generalized Pareto for Extreme Value Analysis (EVA) of wind speed for Delhi and Kanyakumari. Parameter estimation procedures such as method of moments, maximum likelihood method and L-Moments (LMO) are used for determination of parameters of the distributions. The adequacy of fitting of PDs is evaluated by non-parametric Goodness-of-Fit test using Kolmogorov-Smirnov test and diagnostic test using D-index. The GoF and diagnostic tests results indicate the GEV (using LMO) is better suited PD for estimation of EWS. The estimated EWS obtained from GEV (using LMO) distribution is compared with the EWS values of IS 875 procedure to select an appropriate design wind speed for the regions under study. Based on the analysis of EVA results obtained from PDs (using MoM, MLM and LMO) and IS 875 procedure, the suggestions are made thereof and presented in the paper.

Keywords:

D-index, Extreme Value Analysis, Generalized Extreme Value, IS 875 Procedure, Kolmogorov-Smirnov, L-Moments, Wind Speed

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