Flood Frequency Analysis

By Katherine S. Campbell. Technometrics, 2001

457 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/de87d19f8d446a4461650528fce829b2d4b64039

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

Citations in the corpus

Models for extremes using the extended three-parameter Burr XII system with application to flood frequency analysis / Modèles d’extrêmes utilisant le système Burr XII étendu à trois paramètres et application à l’analyse fréquentielle des crues (2004, background): “Reference books including the generalized Pareto distribution are Rao & Hamed (2000) and Reiss & Thomas (2001).”
Multivariate quantiles in hydrological frequency analysis (2011, background): “The univariate aspects of FA have been studied extensively, see e.g. Stedinger and Tasker (1986), Cunnane (1987) and Rao and Hamed (2000).”
A regional Bayesian POT model for flood frequency analysis (2007, methodology): “One of the most popular and simple approaches privileged by engineers is the Index Flood method (Dalrymple, 1960).”
Bivariate flood frequency analysis: Part 1. Determination of marginals by parametric and nonparametric techniques (2008, methodology): “A number of methodologies have been developed to perform univariate (Kite, 1978; Cunnane, 1987; Rao and Hamed, 2000) and multivariate flood frequency analysis (Ashkar and Rousselle, 1982; Krstanovic and Singh, 1987; Sackl and Bergmann, 1987; Singh and Singh, 1991; Yue et al.”
Switching the pooling similarity distances: Mahalanobis for Euclidean (2006, methodology): “The data from the pooling group are then used to estimate the T-year flood (T = 50, 100, and 200 years) at the ungaged site according to the index-flood procedure [Dalrymple, 1960].”
A Review of Classification Techniques of EMG Signals during Isotonic and Isometric Contractions (2016, methodology): “In hydrology applications, parameter estimations via MLE method is the best method due to its all-around utility and adaptability to model change for rainfall [88], while is incapable to obtain the parameter estimation for a small sample in a ﬂood frequency analysis [89].”
Generalized additive models for location, scale and shape for high dimensional data—a flexible approach based on boosting (2012, background): “, 2009) to the analysis of flood frequencies (Villarini et al., 2009), long-term rainfall data (Villarini et al.”
Physiographical space‐based kriging for regional flood frequency estimation at ungauged sites (2004, methodology): “Several estimation methods such as the index flood approach [Dalrymple, 1960; GREHYS, 1996a, 1996b] and linear, nonlinear or nonparametric regression [Gingras and Adamowski, 1992; Pandey and Nguyen, 1999; Grover et al., 2002] may be used to estimate flood frequencies in combination with one…”
On seasonal approach to flood frequency modelling. Part I: Two‐component distribution revisited (2012, methodology): “…duration series’ in the hydrologic literature) (e.g. Rasmussen and Rosbjerg, 1991) having seasonal dependent Poisson parameter and seasonal invariant peak magnitudes distribution of Exponential, bounded at zero Pareto or Generalized Pareto form (Van Montfort and Witter, 1986; Rao and Hamed, 2000).”
A copula-based joint deficit index for droughts. (2010, methodology): “…the appropriateness of G2, Kolmogorov–Smirnov (KS) and Cramer-von Mises (CM) tests were applied for the goodness of fit at the 5% significance level in this study, with model parameters estimated by maximum likelihood (ML) method (see Rao and Hamed (2000) and Laio (2004) for mathematical details).”
Two‐component mixtures of normal, gamma, and Gumbel distributions for hydrological applications (2011, methodology): “Several standard parametric models, such as the lognormal, gamma, and Gumbel distributions, have been used [Rao and Hamed, 2000].”