scholarly journals Regional Rainfall Frequency Analysis for the Luanhe Basin – by Using L-moments and Cluster Techniques

2012 ◽  
Vol 1 ◽  
pp. 126-135 ◽  
Author(s):  
Badreldin G.H. Hassan ◽  
Feng Ping
Keyword(s):  
Frequency Analysis ◽  
Rainfall Frequency ◽  
L Moments ◽  
Rainfall Frequency Analysis ◽  
Regional Rainfall

scholarly journals A framework of integrated hydrological and hydrodynamic models using synthetic rainfall for flash flood hazard mapping of ungauged catchments in tropical zones

2016 ◽  
Vol 373 ◽  
pp. 183-187 ◽  
Author(s):  
Worapong Lohpaisankrit ◽  
Günter Meon ◽  
Tawatchai Tingsanchali
Keyword(s):  
Frequency Analysis ◽  
Flash Flood ◽  
Flood Hazard ◽  
Flash Floods ◽  
Rainfall Series ◽  
Rainfall Frequency ◽  
Main River ◽  
L Moments ◽  
Rainfall Frequency Analysis ◽  
Regional Rainfall

Abstract. Flash flood hazard maps provide a scientific support to mitigate flash flood risk. The present study develops a practical framework with the help of integrated hydrological and hydrodynamic modelling in order to estimate the potential flash floods. We selected a small pilot catchment which has already suffered from flash floods in the past. This catchment is located in the Nan River basin, northern Thailand. Reliable meteorological and hydrometric data are missing in the catchment. Consequently, the entire upper basin of the main river was modelled with the help of the hydrological modelling system PANTA RHEI. In this basin, three monitoring stations are located along the main river. PANTA RHEI was calibrated and validated with the extreme flood events in June 2011 and July 2008, respectively. The results show a good agreement with the observed discharge data. In order to create potential flash flood scenarios, synthetic rainfall series were derived from temporal rainfall patterns based on the radar-rainfall observation and different rainfall depths from regional rainfall frequency analysis. The temporal rainfall patterns were characterized by catchment-averaged rainfall series selected from 13 rainstorms in 2008 and 2011 within the region. For regional rainfall frequency analysis, the well-known L-moments approach and related criteria were used to examine extremely climatic homogeneity of the region. According to the L-moments approach, Generalized Pareto distribution was recognized as the regional frequency distribution. The synthetic rainfall series were fed into the PANTA RHEI model. The simulated results from PANTA RHEI were provided to a 2-D hydrodynamic model (MEADFLOW), and various simulations were performed. Results from the integrated modelling framework are used in the ongoing study to regionalize and map the spatial distribution of flash flood hazards with four levels of flood severities. As an overall outcome, the presented framework can be applied in areas with inadequate runoff records.

scholarly journals Regional Rainfall Frequency Analysis on Seven Sites of Punjab, Pakistan using L-moments

2020 ◽  
Vol 2 (2) ◽  
pp. 25-35
Author(s):  
Uzma Nawaz ◽  
Zamir Hussain ◽  
Tooba Nihal ◽  
Saira Usman
Keyword(s):  
Frequency Analysis ◽  
Goodness Of Fit ◽  
Regional Distribution ◽  
Return Periods ◽  
Goodness Of Fit Test ◽  
Rainfall Frequency ◽  
Pearson Type ◽  
L Moments ◽  
Rainfall Frequency Analysis ◽  
Regional Rainfall

The hydro-meteorological variables of extreme rainfall are not easy to explain due to unexpected changes in climate and varied usage of water with growing population. Regional rainfall frequency analysis is the one such method that is useful for the requirement of more accurate estimates of rainfall yearly or desineally for the regions having lack of fresh water resources. The series of Annual Maximum Monthly Rainfall Totals (AMMRT) has been used for the seven sites of northern Punjab, Pakistan using L-moments. The results of different test, the run test, lag-1 correlation and Mann-Whitney U test illustrate that the data series of the seven sites of northern Punjab were found random and independently and identically distributed and have no serial correlation. Heterogeneity measure exposed that the region is homogeneous and discordancy measure gives the evidence that no site is discordant among the seven. The result of goodness of fit test including L-moment Ratio diagrams, ZDIST statistic and Mean Absolute Deviation Index exposed the Pearson Type III (PE3), Generalized Normal (GNO) and Generalized Extreme Value(GEV) are best suitable of the regional distribution for the quantiles estimation. The quantiles estimates obtained for different return periods. A linear regression model was developed with good fit between the at site characteristics and the mean of the AMMRT of the sites. The estimates of the study may be used for the estimation of the rainfall quantiles of the seven sites for different return periods. The estimates will be useful to design future preventive measures for the harmful impact of hydro meteorological events at these sites in Punjab Pakistan.

Regional Rainfall Frequency Analysis for the State of Michigan

2005 ◽  
Vol 10 (6) ◽  
pp. 437-449 ◽  
Author(s):  
Christopher M. Trefry ◽  
David W. Watkins ◽  
Dennis Johnson
Keyword(s):  
Frequency Analysis ◽  
The State ◽  
Rainfall Frequency ◽  
Rainfall Frequency Analysis ◽  
Regional Rainfall

scholarly journals Regional Rainfall Frequency Analysis by Multivariate Techniques

2008 ◽  
Vol 41 (5) ◽  
pp. 517-525 ◽  
Author(s):  
Woo-Sung Nam ◽  
Tae-Soon Kim ◽  
Ju-Young Shin ◽  
Jun-Haeng Heo
Keyword(s):  
Frequency Analysis ◽  
Multivariate Techniques ◽  
Rainfall Frequency ◽  
Rainfall Frequency Analysis ◽  
Regional Rainfall

scholarly journals REGIONAL RAINFALL FREQUENCY ANALYSIS FOR SAMARAHAN RIVER BASIN

2017 ◽  
Vol 8 (2) ◽  
pp. 89-95 ◽  
Author(s):  
Dayang Nazihah Abang Uthman ◽  
Onni Suhaiza Selaman
Keyword(s):  
River Basin ◽  
Frequency Analysis ◽  
Gumbel Distribution ◽  
Rainfall Analysis ◽  
Rainfall Frequency ◽  
Rainfall Frequency Analysis ◽  
Frequency Map ◽  
Basin Area ◽  
Regional Rainfall ◽  
Adequate Data

In planning to mitigate flood, it is essential for engineers to determine the magnitude and frequency of rainfall. The rainfall frequency and magnitude can be determined by rainfall frequency analysis. This study analyzes the regional rainfall frequency of the Samarahan River basin. There are 12 rainfall stations over the 508km2 of basin area, of which 11 are included in this study. The rainfall frequency analyses of each individual station in Samarahan River basin are conducted using Gumbel distribution and Weibull plotting position formulas. The curves that are close to each other are grouped into the same region. Other factors such as topography, station elevation, type of rainfall distribution and isohyet are also considered in determining the region. Subsequently, a regional rainfall frequency map of Samarahan River basin is established. The findings show that Samarahan River basin can be divided into three homogenous regions. In comparison to previous research, there are changes in grouping the rainfall stations selected into regions. These changes may be due to different years of data used and number of rainfall stations selected since the data is limited. Dissimilar outcomes may also be caused by other factors such as nature change over time. This research updates the rainfall analysis of the Samarahan River basin using more adequate data compared to previous research.

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