Regional Frequency Analysis of Wabash River Flood Data by L-Moments

1997 ◽  
Vol 2 (4) ◽  
pp. 169-179 ◽  
Author(s):  
A. Ramachandra Rao ◽  
Khaled H. Hamed
2017 ◽  
Vol 2017 ◽  
pp. 1-20 ◽  
Author(s):  
Said Arab Khan ◽  
Ijaz Hussain ◽  
Tajammal Hussain ◽  
Muhammad Faisal ◽  
Yousaf Shad Muhammad ◽  
...  

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.


2018 ◽  
Vol 103 (8) ◽  
pp. 1379-1398
Author(s):  
Sharainie Sahrin ◽  
Norazlina Ismail ◽  
Nor Eliza Alias

Author(s):  
Ricardo M. Campos ◽  
C. Guedes Soares

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.


1998 ◽  
Vol 93 (443) ◽  
pp. 1233 ◽  
Author(s):  
Gary Tasker ◽  
J. R. M. Hosking ◽  
J. R. Wallis

2021 ◽  
Author(s):  
Saeideh Parvizi ◽  
Saeid Eslamian ◽  
Mahdi Gheysari ◽  
Alireza Gohari ◽  
Saeid Soltani Kopai

Abstract Drought is one of the natural disasters that causes a great damage to the human life and natural ecosystems. The main differences are in the gradual effect of drought over a relatively long period; impossibility of accurately determining time of the beginning and end of drought; and geographical extent of the associated effects. On the other hand, lack of a universally accepted definition of drought has added to the complexity of this phenomenon. In the last decade, due to increasing frequency of drought in Iran and reduction of water resources, its consequences have become apparent and have caused problems for planners and managers. Therefore, in this study, to investigate severity and duration of meteorological, hydrological and agricultural drought in Karkheh River basin, regional frequency analysis of standardized precipitation index ( SPI ), standardized evapotranspiration index ( SEI ), standardized runoff index ( SRI ) and standardized soil moisture index ( SSI ) was performed using L-moments. Then, using Hosking and Wallis heterogeneity test, basin was divided into four homogeneous areas. After that, based on the Z statistic of goodness-of-fit test for each distribution, the best regional distribution function for each homogeneous region was selected. The results showed that hydrological drought occurs with a very short time delay in Karkheh River Basin after the meteorological drought and two indicators show meteorological and hydrological drought conditions well. Agricultural drought occurs after meteorological and hydrological drought, respectively, and its severity and duration are less than the other indicators. Meteorological, hydrological and agricultural droughts do not occur at the same time in all of the years and in general, the SPI drought Index shows the most severe droughts compared with the other three indices.


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