At site flood frequency analysis for the Nile Equatorial basins

Opere, Alfred; Mkhandi, S.; Willems, Patrick

doi:10.1016/j.pce.2006.08.018

Cited by 16 publications

(11 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…EasyfitXL 5.5 ® was used to test six distributions: the Generalized Extreme Value, 2 & 3 Parameter Lognormal (LN & LN3), Log‐Pearson III (LP3), and 2 & 3 Parameter Log‐Logistic (LL & LL3). This analysis (Supplementary Table S2) showed that the peak flow series in this region are generally best represented by the LP3 distribution, which is also recommended by the United States Geological Survey (USGS) for defining flood series in the adjacent United States (USGS, ; Opere et al ., ).…”

Section: Methodsmentioning

confidence: 99%

The Influence of the Pacific Decadal Oscillation on Annual Floods in the Rivers of Western Canada

Gurrapu

St‐Jacques

Sauchyn

et al. 2016

J American Water Resour Assoc

View full text Add to dashboard Cite

We analyzed annual peak flow series from 127 naturally flowing or naturalized streamflow gauges across western Canada to examine the impact of the Pacific Decadal Oscillation (PDO) on annual flood risk, which has been previously unexamined in detail. Using Spearman's rank correlation ρ and permutation tests on quantile‐quantile plots, we show that higher magnitude floods are more likely during the negative phase of the PDO than during the positive phase (shown at 38% of the stations by Spearman's rank correlations and at 51% of the stations according to the permutation tests). Flood frequency analysis (FFA) stratified according to PDO phase suggests that higher magnitude floods may also occur more frequently during the negative PDO phase than during the positive phase. Our results hold throughout much of this region, with the upper Fraser River Basin, the Columbia River Basin, and the North Saskatchewan River Basin particularly subject to this effect. Our results add to other researchers' work questioning the wholesale validity of the key assumption in FFA that the annual peak flow series at a site is independently and identically distributed. Hence, knowledge of large‐scale climate state should be considered prior to the design and construction of infrastructure.

show abstract

Section: Methodsmentioning

confidence: 99%

The Influence of the Pacific Decadal Oscillation on Annual Floods in the Rivers of Western Canada

Gurrapu

St‐Jacques

Sauchyn

et al. 2016

J American Water Resour Assoc

View full text Add to dashboard Cite

show abstract

“…Sevruk and Geiger (1981) and Opere et al (2006) provided a review on the commonly employed flood frequency distributions and reported that 23% of the countries in the world recommend the log Pearson type 3 (LP3) distribution, and 15% of the countries (including the USA) currently use this approach (Stedinger and Griffis, 2008). The lognormal (LN) distribution is recommended by 15%; however, 19% of countries follow the Pearson type 3 (P3) distribution, and 12% of countries recommend and use generalized extreme value (GEV) distributions, including extreme value type-1 (EV1 or Gumbel), which is recommended by 7%, although only 5% of countries use this method (Opere et al, 2006). Although many countries employ different specific parametric distributions, subjectivity remains in the selection of a parametric distribution for marginal variables (Karim and Chowdhury, 1995).…”

Section: Parametric Analysismentioning

confidence: 97%

A framework for multivariate data-based at-site flood frequency analysis: Essentiality of the conjugal application of parametric and nonparametric approaches

Hari

Singh

Kumar

et al. 2015

Journal of Hydrology

View full text Add to dashboard Cite

“…These distributions are common in the literature and are recommended distributions for flood frequency analysis in many countries (see e.g. [2,4,21,22]). We explain the detail of parameter estimation method (MLE and LM) in the following subsection.…”

Section: Candidate Probability Distributionsmentioning

confidence: 99%

Selecting the best probability distribution for at-site flood frequency analysis; a study of Torne River

2019

View full text Add to dashboard Cite

At-site flood frequency analysis is a direct method of estimation of flood frequency at a particular site. The appropriate selection of probability distribution and a parameter estimation method are important for at-site flood frequency analysis. Generalized extreme value, three-parameter log-normal, generalized logistic, Pearson type-III and Gumbel distributions have been considered to describe the annual maximum steam flow at five gauging sites of Torne River in Sweden. To estimate the parameters of distributions, maximum likelihood estimation and L-moments methods are used. The performance of these distributions is assessed based on goodness-of-fit tests and accuracy measures. At most sites, the best-fitted distributions are with LM estimation method. Finally, the most suitable distribution at each site is used to predict the maximum flood magnitude for different return periods.

show abstract

At site flood frequency analysis for the Nile Equatorial basins

Cited by 16 publications

References 6 publications

The Influence of the Pacific Decadal Oscillation on Annual Floods in the Rivers of Western Canada

The Influence of the Pacific Decadal Oscillation on Annual Floods in the Rivers of Western Canada

A framework for multivariate data-based at-site flood frequency analysis: Essentiality of the conjugal application of parametric and nonparametric approaches

Selecting the best probability distribution for at-site flood frequency analysis; a study of Torne River

Contact Info

Product

Resources

About