Regional frequency analysis with L-Moments of extremes rainfall in Peninsular Malaysia

2018 ◽  
Author(s):  
Iszuanie Syafidza Che Ilias ◽  
Abdul Aziz Jemain
Keyword(s):  
Frequency Analysis ◽  
Peninsular Malaysia ◽  
Regional Frequency Analysis ◽  
L Moments ◽  
Regional Frequency

REGIONAL FREQUENCY ANALYSIS ON PENINSULAR MALAYSIA USING L-MOMENTS

2018 ◽  
Vol 103 (8) ◽  
pp. 1379-1398
Author(s):  
Sharainie Sahrin ◽  
Norazlina Ismail ◽  
Nor Eliza Alias
Keyword(s):  
Frequency Analysis ◽  
Peninsular Malaysia ◽  
Regional Frequency Analysis ◽  
L Moments ◽  
Regional Frequency

scholarly journals Regional Frequency Analysis of Extremes Precipitation Using L-Moments and Partial L-Moments

2017 ◽  
Vol 2017 ◽  
pp. 1-20 ◽  
Author(s):  
Said Arab Khan ◽  
Ijaz Hussain ◽  
Tajammal Hussain ◽  
Muhammad Faisal ◽  
Yousaf Shad Muhammad ◽  
...  
Keyword(s):  
Frequency Analysis ◽  
Extreme Precipitation ◽  
Regional Frequency Analysis ◽  
Monthly Precipitation ◽  
Monte Carlo Simulation Study ◽  
Khyber Pakhtunkhwa ◽  
Northern Areas ◽  
L Moments ◽  
Social Environmental ◽  
Regional Frequency

Extremes precipitation may cause a series of social, environmental, and ecological problems. Estimation of frequency of extreme precipitations and its magnitude is vital for making decisions about hydraulic structures such as dams, spillways, and dikes. In this study, we focus on regional frequency analysis of extreme precipitation based on monthly precipitation records (1999–2012) at 17 stations of Northern areas and Khyber Pakhtunkhwa, Pakistan. We develop regional frequency methods based on L-moment and partial L-moments (L- and PL-moments). The L- and PL-moments are derived for generalized extreme value (GEV), generalized logistic (GLO), generalized normal (GNO), and generalized Pareto (GPA) distributions. The Z-statistics and L- and PL-moments ratio diagrams of GNO, GEV, and GPA distributions were identified to represent the statistical properties of extreme precipitation in Northern areas and Khyber Pakhtunkhwa, Pakistan. We also perform a Monte Carlo simulation study to examine the sampling properties of L- and PL-moments. The results show that PL-moments perform better than L-moments for estimating large return period events.

Estimating Extreme Waves in Brazil Using Regional Frequency Analysis

2016 ◽  
Author(s):  
Ricardo M. Campos ◽  
C. Guedes Soares
Keyword(s):  
Frequency Analysis ◽  
Grid Point ◽  
Quantile Function ◽  
Regional Frequency Analysis ◽  
Southeastern Brazil ◽  
Significant Wave ◽  
Test Of Hypothesis ◽  
L Moments ◽  
Using Data ◽  
Regional Frequency

Regional Frequency Analysis (RFA) based on L-moments is used to calculate spatial extreme return values of significant wave height. The RFA consists of using data from different sites with similar statistical characterisation to better estimate quantile functions, which can be used for regional or site-specific analyses. This technique is applied to a selected area in the South Atlantic Ocean (Brazil) using a group of wave hindcasts produced by a simulation with WAVEWATCH III model. The statistical approach of RFA is divided into four steps: (1) First inspection of the data; (2) Regionalization and definitions of statistically homogeneous sub-regions; (3) choice of Probabilistic Distribution and test of hypothesis; (4) Calculation of L-moments and final regional quantile function. The results of RFA are reliable extreme return values at each grid point with very low variance of the distribution parameters estimators and narrow confidence intervals. Considering the return period of 100 years, the significant wave heights vary from 5.5 to 11.2 meters within the considered domain in southern and southeastern Brazil.

Regional Frequency Analysis: An Approach Based on L-Moments

1998 ◽  
Vol 93 (443) ◽  
pp. 1233 ◽  
Author(s):  
Gary Tasker ◽  
J. R. M. Hosking ◽  
J. R. Wallis
Keyword(s):  
Frequency Analysis ◽  
Regional Frequency Analysis ◽  
L Moments ◽  
Regional Frequency
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