Bivariate Flood Frequency Analysis Using the Copula Method
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Machine scores (provisional)
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- Teacher spread
- 0.228 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Using the copula method, bivariate distributions of flood peak and volume, and flood volume and duration were derived. A major advantage of this method is that marginal distributions of individual variables (i.e., flood peak, volume, and duration) can be of any form and the variables can be correlated. The copula method was applied to obtain the conditional return periods that are needed for hydrologic design. The derived distributions were tested using flood data from Amite River at Denham Springs, La., and the Ashuapmushuan River at Saguenay, Quebec, Canada. The derived distributions were also compared with the Gumbel mixed and the bivariate Box–Cox transformed normal distributions. The copula-based distributions were found to be in better agreement with plotting position-based frequency estimates than were other distributions.
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The record
- Venue
- Journal of Hydrologic Engineering
- Topic
- Hydrology and Drought Analysis
- Field
- Environmental Science
- Canadian institutions
- —
- Funders
- —
- Keywords
- Copula (linguistics)Bivariate analysisGumbel distributionFlood mythMarginal distributionStatisticsMathematicsJoint probability distributionHydrology (agriculture)Environmental scienceEconometricsExtreme value theoryGeologyRandom variableGeographyGeotechnical engineering
- Has abstract in OpenAlex
- yes