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Complete multivariate flood frequency analysis, applied to northern Algeria
- Source :
- Journal of Flood Risk Management, Vol 13, Iss 4, Pp n/a-n/a (2020)
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- Extreme hydrologic events are commonly described by several dependent characteristics, such as duration, volume and peak flow for floods. Traditionally in Algeria and North Africa, flood frequency analysis (FFA) is conducted as a univariate approach focusing separately on each single of flood characteristics. On the other hand, elsewhere, multivariate FFA studies have been conducted focusing on some FFA steps (especially modelling). The current study aims to consider complete multivariate FFA atāsite case studies in northern Algeria using 11 hydrometric stations. It is also among the first studies dealing with multivariate FFA in a complete way by considering all the required steps of the analysis (multivariate outliers detection, multivariate assumptions testing and copula fitting) and on datasets from Algeria. Multivariate stationarity, homogeneity and independence assumptions have been well verified before modelling. The Weibull distribution is mostly selected as margin distribution for the duration, volume and peak flow series. Frank, Clayton and Gumbel copulas are commonly selected to describe the dependence structure on the three flood pairs of variables. These findings should be interesting in water management and flood risk assessment in these regions. Combining these flood characteristics enables the design of more efficient hydraulic structures.
- Subjects :
- Multivariate statistics
Environmental Engineering
Flood frequency analysis
multivariate assumptions
lcsh:Disasters and engineering
Geography, Planning and Development
lcsh:TC530-537
northern Algeria
lcsh:TA495
lcsh:River protective works. Regulation. Flood control
Copula (probability theory)
Statistics
copula
Safety, Risk, Reliability and Quality
daily flow
flood characteristics
multivariate frequency analysis
Water Science and Technology
Mathematics
Subjects
Details
- ISSN :
- 1753318X
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- Journal of Flood Risk Management
- Accession number :
- edsair.doi.dedup.....8f94dfd1b0c7d0f6f95b6fc2bd6cd614