Design rainfall estimation: comparison between GEV and LP3 distributions and at-site and regional estimates

Hajani, Evan; Rahman, Ataur

doi:10.1007/s11069-018-3289-9

Cited by 14 publications

(6 citation statements)

References 25 publications

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“…For durations greater than 200 min, M1 and M3 maintained errors below 10%, since M2 presented errors of the order 20%. Therefore, the conclusion is similar with Hajani and Rahman (2018), that is, the second-order polynomial model presents better results than empirical models, especially for high periods of return.…”

Section: Resultssupporting

confidence: 70%

“…The main challenge is to select a suitable distribution that could describe well the rainfall data in each duration. For this purpose, the following distributions can be used: generalized extreme values (GEV), generalized logistics (GLO) and generalized Pareto (GPA) (Hajani and Rahman, 2018;Mamoon and Rahman, 2017;Nguyen et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…The commonly-used model was proposed by Bernard (1932). However, there are little-explored alternative models, such as the second-order polynomial (Hajani and Rahman, 2018) or the model presented in Pfafstetter (1957). Pansera et al (2020) conducted a study comparing these three models and identified that alternative models can perform better than its traditional counterpart.…”

Section: Introductionmentioning

confidence: 99%

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Development of Intensity-Duration-Frequency Curves of Intense Rainfall With Emphasis on the Behavior of the Upper Tail of the Distribution

Pansera

Gomes

Mello

et al. 2022

Rev. bras. meteorol.

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The design and management of various hydraulic structures (such as stormwater drains, bridges and dams) require the estimation of rainfall with duration of a few minutes up to 24 h or more. Intensity-duration-frequency (IDF) curves links probability of occurrence to a given rainfall intensity. The procedure for obtaining IDF curves basically involves two steps: (i) frequency analysis for different durations and (ii) modeling of IDF curves. In the first step, this study aimed to adequately select the upper tail weight of the following distributions: generalized extreme value (GEV), generalized logistic (GLO) and generalized Pareto (GPA). In the second step, this study aimed to evaluate the performance of three models of IDF curves. The traditional model (M1) was compared with empirical model (M2) and a second-order polynomial model (M3). To perform this study, rainfall data from the city of Caraguatatuba (São Paulo state, Brazil) for the period between 1971 and 2001 were used, for time intervals between 10 and 1440 min. The main conclusions were: (i) GLO and GEV had heavy upper tail while GPA had light upper tail, impacting quantiles with T > 100 years; (ii) M3 presents errors lower than M1 for return periods greater than 100 years.

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Section: Resultssupporting

confidence: 70%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development of Intensity-Duration-Frequency Curves of Intense Rainfall With Emphasis on the Behavior of the Upper Tail of the Distribution

Pansera

Gomes

Mello

et al. 2022

Rev. bras. meteorol.

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“…IDF curves are obtained by applying the frequency analysis on a rainfall series, then fitting a probability distribution method such as the Montana [3] commonly used in real study cases [9],The times equation evolved by the Spanish Water Authority, and the method of maximum likelihood. The above-mentioned method, could be used to develop the design hyetograph and estimate the peak flow of a hydrologic series, they are widely used for flood control, dam and bridges construction and management [10] by means of hydrological and hydraulic modeling.…”

Section: Rainfall Intensity-duration-frequency Methodsmentioning

confidence: 99%

Generation of Synthetic Design Storm Hyetograph and Hydrologic Modeling under HEC HMS for Ziz Watershed

Elhassnaoui¹,

Moumen²,

Bouziane³

et al. 2019

IJITEE

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This article proposes a methodology for generating hourly rainfall from daily rainfall data. It was evolved as a tool for managing flood risks on Ziz catchment, by means of Intensity-duration-frequency curves (IDF) and designed hyetograph of Chicago. The study area is located in the south-eastern part of Morocco, and did not have a monitoring station for hourly rain measure, the methodomogy consist of determinating the rainfall intensity for 24 h using IDF, then estimating the hourly rainfall using Chicago formula, in order to assess the accuracy of the method the resulting hyetographs was introduced into the semi-distributed hydrological model HEC HMS to simulate hourly flow, which was compared to the observed one. The obtaining results exhibit that the observed value is positively correlated with those obtained by the above method, as shown by the correlation coefficient and the Nash-Sutcliffe. This approach can deal with instantaneous water management issues by tackling flood risks and providing an appropriate range of data for the dam’s management.

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“…It often exists. In this case, frequency analysis is a good option to maximize the amount of improved quantitative estimates and available data (Hajani andRahman 2018, García-Marín, Morbidelli et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Annual Maximum Rainfall for Frequency Distribution to Determine the Best-fitted Probability Distribution for Different Sites in Pakistan.

khan

Wang

Anwar

2021

Preprint

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In the project of irrigation and addition structure of hydraulic, it is important to assess the specific probability of extreme rainfall. The novelty of this study is the use of KS, Chi-square, root mean square error (RMSE), and peak weight root means square error (PWRMSE) to evaluate the fit theoretical and Empirical distributions. Thirty-seven years of meteorological data from 1980 to 2017, the frequency analysis of the annual maximum rainfall in 10 regions of Pakistan was conducted. Used eight formulas to predict the annual return period of the maximum hourly precipitation every year. Five different probability distribution functions (PDF) are used to predict the probability distribution of the annual maximum hourly rainfall. Use the chi-square test and Kolmogorov- Smirnov to assess the goodness of fit. It shows that the log-logistics distribution is the overall best-fitting PDF of the annual maximum hourly rainfall in most areas of Pakistan. Besides, the peak weight relative mean square error and root mean square error goodness of fit test indicators both indicate that most suitable distribution of the probability function of all stations analysis is similar. The value of root means square error (RMSE) is almost always smaller than peak weight root means square error (PWRMSE). This is due to the higher weighting of value above the average value in the PWRMSE goodness of fit index, while for the RMSE goodness of fit index individual value has an equal weight.

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Design rainfall estimation: comparison between GEV and LP3 distributions and at-site and regional estimates

Cited by 14 publications

References 25 publications

Development of Intensity-Duration-Frequency Curves of Intense Rainfall With Emphasis on the Behavior of the Upper Tail of the Distribution

Development of Intensity-Duration-Frequency Curves of Intense Rainfall With Emphasis on the Behavior of the Upper Tail of the Distribution

Generation of Synthetic Design Storm Hyetograph and Hydrologic Modeling under HEC HMS for Ziz Watershed

Analysis of Annual Maximum Rainfall for Frequency Distribution to Determine the Best-fitted Probability Distribution for Different Sites in Pakistan.

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