Details
| Original language | English |
|---|---|
| Pages (from-to) | 2216-2232 |
| Number of pages | 17 |
| Journal | Hydrological sciences journal |
| Volume | 59 |
| Issue number | 12 |
| Early online date | 24 Oct 2014 |
| Publication status | Published - 2 Dec 2014 |
Abstract
Considering floods as multivariate events allows a better statistical representation of their complexity. In this work the relevance of multivariate analysis of floods for designing or assessing the safety of hydraulic structures is discussed. A flood event is characterized by its peak flow and volume. The dependence between the variables is modelled with a copula. One thousand random pairs of variables are transformed to hydrographs, applying the Beta distribution function. Synthetic floods are routed through a reservoir to assess the risk of overtopping a dam. The resulting maximum water levels are compared to estimations considering the peak flow and volume separately. The analysis is performed using daily flows observed in the River Agrio in Neuquén Province, Argentina, a catchment area of 7300 km2. The bivariate approach results in higher maximum water level values. Therefore the multivariate approach should be preferred for the estimation of design variables.
Keywords
- copula, dam risk assessment, flood frequency, synthetic hydrograph
ASJC Scopus subject areas
- Environmental Science(all)
- Water Science and Technology
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Hydrological sciences journal, Vol. 59, No. 12, 02.12.2014, p. 2216-2232.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Dam risk assessment based on univariate versus bivariate statistical approaches
T2 - a case study for Argentina
AU - Callau Poduje, Ana Claudia
AU - Belli, Aslan
AU - Haberlandt, Uwe
N1 - Publisher Copyright: © 2014 IAHS Press.
PY - 2014/12/2
Y1 - 2014/12/2
N2 - Considering floods as multivariate events allows a better statistical representation of their complexity. In this work the relevance of multivariate analysis of floods for designing or assessing the safety of hydraulic structures is discussed. A flood event is characterized by its peak flow and volume. The dependence between the variables is modelled with a copula. One thousand random pairs of variables are transformed to hydrographs, applying the Beta distribution function. Synthetic floods are routed through a reservoir to assess the risk of overtopping a dam. The resulting maximum water levels are compared to estimations considering the peak flow and volume separately. The analysis is performed using daily flows observed in the River Agrio in Neuquén Province, Argentina, a catchment area of 7300 km2. The bivariate approach results in higher maximum water level values. Therefore the multivariate approach should be preferred for the estimation of design variables.
AB - Considering floods as multivariate events allows a better statistical representation of their complexity. In this work the relevance of multivariate analysis of floods for designing or assessing the safety of hydraulic structures is discussed. A flood event is characterized by its peak flow and volume. The dependence between the variables is modelled with a copula. One thousand random pairs of variables are transformed to hydrographs, applying the Beta distribution function. Synthetic floods are routed through a reservoir to assess the risk of overtopping a dam. The resulting maximum water levels are compared to estimations considering the peak flow and volume separately. The analysis is performed using daily flows observed in the River Agrio in Neuquén Province, Argentina, a catchment area of 7300 km2. The bivariate approach results in higher maximum water level values. Therefore the multivariate approach should be preferred for the estimation of design variables.
KW - copula
KW - dam risk assessment
KW - flood frequency
KW - synthetic hydrograph
UR - http://www.scopus.com/inward/record.url?scp=84910151968&partnerID=8YFLogxK
U2 - 10.1080/02626667.2013.871014
DO - 10.1080/02626667.2013.871014
M3 - Article
AN - SCOPUS:84910151968
VL - 59
SP - 2216
EP - 2232
JO - Hydrological sciences journal
JF - Hydrological sciences journal
SN - 0262-6667
IS - 12
ER -