2014
DOI: 10.1002/hyp.10182
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Applicability of Wakeby distribution in flood frequency analysis: a case study for eastern Australia

Abstract: Abstract:Parametric method of flood frequency analysis (FFA) involves fitting of a probability distribution to the observed flood data at the site of interest. When record length at a given site is relatively longer and flood data exhibits skewness, a distribution having more than three parameters is often used in FFA such as log-Pearson type 3 distribution. This paper examines the suitability of a five-parameter Wakeby distribution for the annual maximum flood data in eastern Australia. We adopt a Monte Carlo… Show more

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Cited by 31 publications
(30 citation statements)
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“…This also highlights the potential effect of the low outliers in annual maximum series (AMS) observations in distorting the AEP of the larger flood quantile [ Lamontagne et al ., ]. In Eastern Australia, these Potential Influential Low Flows (PILFs) account for 61% of the difference in the flood quantile estimation in 10 study catchments [ Rahman et al , ].…”
Section: Study Areamentioning
confidence: 99%
“…This also highlights the potential effect of the low outliers in annual maximum series (AMS) observations in distorting the AEP of the larger flood quantile [ Lamontagne et al ., ]. In Eastern Australia, these Potential Influential Low Flows (PILFs) account for 61% of the difference in the flood quantile estimation in 10 study catchments [ Rahman et al , ].…”
Section: Study Areamentioning
confidence: 99%
“…The cdf of Wak can be computed by numerically inverting F WAK −1 [35]. The parameters of Wak were estimated by LM [36] for every month and grid cell.…”
Section: Wakeby Distributionmentioning
confidence: 99%
“…In the Midwestern of the United States, the Sahara and Kazakhstan, low GF values were simulated, indicating that the negative influence of gusts on the technical integrity is small. Overall, at 35 …”
Section: Gust Characteristics Around the Worldmentioning
confidence: 99%
“…The region also experiences periods of extended low flows (droughts). These potentially influential low flows (PILFs), when excluded from flood frequency analysis (FFA), were found to affect ~61% of the flood quantile estimations in selected catchments across eastern Australia (Rahman et al, 2014).…”
Section: Regional Settingmentioning
confidence: 99%