BIVARIATE FREQUENCY ANALYSIS OF FLOODS USING COPULAS1

By J. Shiau, H. Wang, C. Tsai. 2006

138 citations recorded by the source corpus.

Subfields: Finance, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/294867e71aa8f49a2cb472d8749798016a41ed9f

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Citations in the corpus

Bivariate Flood Frequency Analysis with Historical Information Based on Copula (2013, background): “Shiau et al. (2006) analyzed bivariate frequency of flood peak and volume and demonstrated the assessments and risks by investigating the joint probabilities and joint return periods.”
Copulas and Its Application in Hydrology and Water Resources (2018, background): “Shiau et al. (2006) analyzed the bivariate frequency of flood peak and volume.”
Frequency analysis of droughts using the Plackett copula and parameter estimation by genetic algorithm (2010, methodology): “For given marginal distributions, copulas can separate the effects of dependence from the effects of marginal distributions, and construction of multivariate distributions only needs to consider the relationship among the corresponding correlated random variables (De Michele and Salvadori 2003; Favr”
A copula-based joint deficit index for droughts. (2010, background): “…2006b; Kao and Govindaraju, 2007a; Zhang and Singh, 2007; Kuhn et al., 2007), flood frequency analysis (Favre et al., 2004; De Michele et al., 2005; Shiau et al., 2006; Zhang and Singh, 2006; Renard and Lang, 2007), trivariate frequency analysis (Grimaldi and Serinaldi, 2006a; Salvadori and De…”
Bivariate Flood Frequency Analysis of Upper Godavari River Flows Using Archimedean Copulas (2012, methodology): “…studies (Frees and Valdez 1998; Cherubini et al. 2004), in hydrology and water resources for rainfall analysis (De Michele and Salvadori 2003; Shiau et al. 2006), for flood flow analysis (Favre et al. 2004; De Michele et al. 2005; Zhang and Singh 2006; Grimaldi and Serinaldi 2006; Genest and…”
Multivariate drought characteristics using trivariate Gaussian and Student t copulas (2013, unknown): “…2003; Shiau, 2003; Favre et al., 2004; Salvadori and De Michele, 2004a, 2004b, 2006, 2007; De Michele et al., 2005; Grimaldi and Serinaldi, 2006; Shiau et al., 2006; Zhang and Singh, 2006, 2007a, 2007b, 2007c; Genest and Favre, 2007; Genest et al., 2007a, 2007b; Kao and Govindaraju, 2007a,…”
Measure of Correlation between River Flows Using the Copula-Entropy Method (2013, background): “2007), flood frequency analysis (Favre et al. 2004; Shiau et al. 2006; Zhang and Singh 2006; Renard and Lang 2007; Chen et al. 2010), drought frequency analysis (Shiau 2006; Kao and Govindaraju 2010; Song and Singh 2010; Chen et al.”
Identification of suitable copulas for bivariate frequency analysis of flood peak and flood volume data (2011, methodology): “Shiau et al. (2006) presented explicit relationships between joint return periods and univariate return periods for flood peak and volume data by considering the Ali–Mikhail–Haq (AMH), Clayton, Frank, Galambos, GH, and Plackette copulas.”
Bivariate drought frequency analysis using the copula method (2012, methodology): “Copulas have been adopted for hydrological studies of multivariate flood frequency analysis (Favre et al. 2004; Zhang and Singh 2006; Shiau et al. 2006; Grimaldi and Serinaldi 2006a; Kao and Govindaraju 2007), for rainfall frequency analysis (De Michele and Salvadori 2003; Grimaldi and Serinaldi…”
Copula‐based drought severity‐duration‐frequency analysis in Iran (2009, background): “However, most research focuses on rainfall and floods (De Michele and Salvadori, 2003; Favre et al., 2004; Salvadori and de Michele, 2004a, 2004b; De Michele et al., 2005; Shiau et al., 2006; Grimaldi and Serinaldi, 2006; Salvadori and de Michele, 2006; Zhang and Singh, 2006; Kao and Govindaraju, 20”
Drought characterization using a new copula-based trivariate approach (2014, background): “Moreover, Shiau (2006), Shiau et al. (2006), Wong et al. (2008), Kao (2010), Shiau and Modarres (2009), Mirakbari et al. (2010), Wong et al. (2010), Cancelliere and Salas (2004), Kao and Govindaraju (2010), Song and Singh (2010a, b) and Liu et al. (2011) reported on the applications of copulas in…”
Entropy–Copula in Hydrology and Climatology (2014, methodology): “This requires modeling the dependence structure of the variables involved (e.g., such as ﬂood volume and peak) and can be achieved by ﬁtting a multivariate parametric distribution (Favre et al. 2004; Shiau et al. 2006; Genest et al. 2007; Sadri and Burn 2012).”