TY  - JOUR
TI  - Comparison of Estimators of Probability Distributions for Selection of Best Fit for Estimation of Extreme Rainfall.
SP  - 24
SN  - 2252-0430
EP  - 31
KW  - Chi-square
KW  -  Extreme value analysis
KW  -  Extreme Value Type-1
KW  -  Kolmogorov-Smirnov
KW  -  L-Moments
KW  -  Method of moments
KW  -  Rainfall
KW  -  Root mean squared error
AV  - public
A1  - Vivekanandan, N.
IS  - 3
PB  - Scienceline Publication, Ltd
JF  - Journal of Civil Engineering and Urbanism
VL  - 10
Y1  - 2020/05/25/
ID  - eprints983
N2  - Extreme Value Analysis (EVA) of rainfall is considered as one of the important aspects to arrive at a design value for planning, design and management of civil and hydraulic structures. This can be achieved by fitting Probability Distribution (PDs) to the series of observed annual 1-day maximum rainfall data wherein the parameters of PDs are determined by method of moments and L-Moments (LMO). In this paper, a study on comparison of Extreme Value Type-1 (EV1), Extreme Value Type-2, Generalized Extreme Value (GEV) and Generalized Pareto distributions adopted in EVA of rainfall for Anakapalli, Atchutapuram, Kasimkota and Parvada sites is carried out. The selection of best fit PD for EVA of rainfall is made through quantitative assessment by using Goodness-of-Fit (viz., Chi-square and Kolmogorov-Smirnov) and diagnostic (viz., root mean squared error) tests; and qualitative assessment by using the fitted curves of the estimated rainfall. On the basis of evaluation of EVA results through quantitative and qualitative assessments, the study indicates the extreme rainfall given by EV1 (LMO) distribution could be used for the purpose of economical design. The study also indicates the extreme rainfall obtained from GEV (LMO) distribution may be considered for the design of civil and hydraulic structure with little risk involvement.
UR  - https://doi.org/10.29252/scil.2020.jceu4
ER  -