scholarly journals Maximum Monthly Rainfall Analysis Using L-Moments for an Arid Region in Isfahan Province, Iran

2007 ◽  
Vol 46 (4) ◽  
pp. 494-503 ◽  
Author(s):  
S. Saeid Eslamian ◽  
Hussein Feizi
Keyword(s):  
Frequency Analysis ◽  
Water Resource Management ◽  
Arid Zone ◽  
Meteorological Drought ◽  
Monthly Rainfall ◽  
Regional Frequency Analysis ◽  
Model Parameters ◽  
Rainfall Analysis ◽  
Pearson Type ◽  
L Moments

Abstract Developing methods that can give a suitable prediction of hydrologic events is always interesting for both hydrologists and statisticians, because of its importance in designing hydraulic structures and water resource management. Because of the computer revolution in statistical computation and lack of robustness in at-site frequency analysis, since early 1990 the application of regional frequency analysis based on L-moments has been considered more for flood analysis. In this study, the above-mentioned method has been used for the selection of parent distributions to fit maximum monthly rainfall data of 18 sites in the Zayandehrood basin, Iran, and as a consequence the generalized extreme-value and Pearson type-III distributions have been selected and model parameters have been estimated. The obtained extreme rainfall values can be used for meteorological drought management in the arid zone.

scholarly journals Regional Frequency Analysis of Maximum Monthly Rainfall in Haryana State of India Using L-Moments

2021 ◽  
Author(s):  
Mohit Nain ◽  
B. K. Hooda
Keyword(s):  
Return Period ◽  
Goodness Of Fit ◽  
Regional Distribution ◽  
Rain Gauge ◽  
Monthly Rainfall ◽  
Regional Frequency Analysis ◽  
Goodness Of Fit Test ◽  
Pearson Type ◽  
L Moments ◽  
Regional Frequency

The paper aims to select the appropriate regional frequency distribution for the maximum monthly rainfall and estimation of quantiles using L-moments for the 27 rain gauge stations in Haryana. These 27 rain gauge stations were grouped into three homogeneous regions (Region-1, Region-2, and Region-3) using Ward’s method of cluster analysis. To confirm the homogeneity of each region, L-moments based measure of heterogeneity was used. For each homogeneous region, a regional distribution was selected with the help of the L-moments ratio diagram and goodness-of-fit test. Results of the goodness-of-fit test and L-moments ratio diagram indicated that Generalized Logistic and Generalized Extreme Value distributions were best- fitted regional frequency distributions for the Region-1 and Region-2 respectively while for Region-3, Pearson Type-3) was best-fitted distribution. The quantiles for each region were calculated and the regional growth curves were developed. The accuracy measurements were determined using Monte Carlo simulations for the regional quantiles. Results of simulations showed that uncertainty in regional quantiles measured by Root Mean Square Error value and 90 percent error limits were small when the return period was low but uncertainty in quantiles increases as the return period increases.

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.

scholarly journals Drought Analysis in East Nusa Tenggara (Indonesia) Using Regional Frequency Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Heri Kuswanto ◽  
Anggi Wahyu Puspa ◽  
Imam Safawi Ahmad ◽  
Fausania Hibatullah
Keyword(s):  
Frequency Analysis ◽  
Return Period ◽  
Extreme Drought ◽  
Regional Frequency Analysis ◽  
Drought Risk ◽  
Drought Analysis ◽  
Daily Precipitation Data ◽  
Pearson Type ◽  
Normal Rainfall ◽  
Regional Frequency

Drought is a condition of a shortage of water that has an impact on economic activity. This research studies the severe drought area in Indonesia using Regional Frequency Analysis (RFA), based on daily precipitation data recorded at nine stations. The analysis reveals five homogeneous regions, based on discordancy and heterogeneity tests. Furthermore, the L-moment approach is applied to investigate the regional distribution and suggests that the Pearson type III distribution is the distribution that best fits the five regions. This distribution is also used to calculate the regional growth curve that is employed in the drought analysis. The drought return period analysis, for conditions of 40% of normal rainfall, concludes that the region containing the Fransiskus Xaverius, Gewayantana, and Mali stations has the highest drought risk, indicated by the fastest return period estimate of 2 years and 4 months. Moreover, the extreme drought analysis shows that two of the regions have the potential to experience the return of extreme drought, with less than 20% of normal rainfall, in less than four years.

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
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