Regional flood frequency estimation with canonical correlation analysis

By Taha B. M. J. Ouarda, Claude Girard, G. Cavadias, Bernard Bobée. 2001

281 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/bc1b252782abd10393f2bf03f07c9ae3b535f9a3

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Citations in the corpus

Physiographical space‐based kriging for regional flood frequency estimation at ungauged sites (2004, methodology): “Numerous regional estimation procedures and techniques were proposed and applied in various areas over the world [Dalrymple, 1960; Burns, 1990; Rosbjerg and Madsen, 1994; GREHYS, 1996a, 1996b; Ouarda et al., 1999; Pandey and Nguyen, 1999; Daviau et al., 2000; Ouarda et al., 2001; Grover et al., 2002”
Flood frequency analysis of Turkey using L‐moments method (2011, background): “E-mail: nseckin@cu.edu.tr 1986; Acreman and Wiltshire, 1989; Burn, 1990; Reed and Robson, 1999; Ouarda et al., 2000, 2001, 2006; Chokmani and Ouarda, 2004; Shu and Burn 2004).”
Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach? (2012, methodology): “The term canonical kriging originates from the procedure that is generally adopted to definex andy, that is canonical correlation analysis, or CCA (see e.g.,Ouarda et al., 2001; Chokmani and Ouarda, 2004; Di Prinzio et al., 2011).”
Depth and homogeneity in regional flood frequency analysis (2008, methodology): “Note that the Mahalanobis distance is used in the development of the CCA approach for regional flood frequency analysis [Ouarda et al., 2001].”
A parametric Bayesian combination of local and regional information in flood frequency analysis (2006, methodology): “…homogeneous regions such as the regions of influence method [Burn, 1990], correspondence analysis and hierarchical ascending classification [GREHYS, 1996a, 1996b], canonical correlation analysis [Cavadias, 1989; Ouarda et al., 2000, 2001], and the L moments method [Hosking and Wallis, 1993].”
Improved methods for daily streamflow estimates at ungauged sites (2012, methodology): “Regionalization methods have been successfully used to estimate the extreme flow events at ungauged site in recent years [e.g., Burn, 1990; Ouarda et al., 2001, 2006, 2008; Shu and Ouarda, 2007].”
Frequency analysis and temporal pattern of occurrences of southern Quebec heatwaves (2005, methodology): “Systematic methods for grouping a number of sites to form a homogeneous region have been developed by Hosking and Wallis (1997) and Ouarda et al. (2001) in the context of regional flood frequency analysis.”
Index flood–based multivariate regional frequency analysis (2009, methodology): “The first two classes have been extensively studied [see, e.g., Stedinger and Tasker, 1986; Burn, 1990; Hosking and Wallis, 1993; Durrans and Tomic, 1996; Nguyen and Pandey, 1996; Alila, 1999, 2000; Ouarda et al., 2001, 2006; Chebana and Ouarda, 2008].”
Generalized maximum likelihood estimators for the nonstationary generalized extreme value model (2007, methodology): “Morrison and Smith [2002] introduced a new method, named ‘‘mixed L moments: maximum likelihood,’’ to resolve the same singularity problem and to obtain unbiased estimators such as those produced by the ML method.”