Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Bivariate flood frequency analysis: Part 1. Determination of marginals by parametric and nonparametric techniques
AbstractIn flood frequency analysis, a flood event is mainly characterized by peak flow, volume and duration. These three variables or characteristics of floods are random in nature and mutually correlated. In this article, an effort is made to find out appropriate marginal distribution of the flood characteristics considering a set of parametric and nonparametric distributions, and further mathematically model the correlated nature among them. A set of parametric distribution functions and nonparametric methods based on kernel density estimation and orthonormal series are used to determine the marginal distribution functions for peak flow, volume and duration. In conventional methods of flood frequency analysis, the marginal distribution functions of peak flow, volume and duration are assumed to follow some specific parametric distribution function. The present work performs a better selection of marginal distribution functions for flood characteristics as both parametric and nonparametric estimation procedures are extensively followed. The methodology is demonstrated with 70‐year stream flow data of Red River at Grand Forks of North Dakota, USA.
Bivariate flood frequency analysis: Part 1. Determination of marginals by parametric and nonparametric techniques
AbstractIn flood frequency analysis, a flood event is mainly characterized by peak flow, volume and duration. These three variables or characteristics of floods are random in nature and mutually correlated. In this article, an effort is made to find out appropriate marginal distribution of the flood characteristics considering a set of parametric and nonparametric distributions, and further mathematically model the correlated nature among them. A set of parametric distribution functions and nonparametric methods based on kernel density estimation and orthonormal series are used to determine the marginal distribution functions for peak flow, volume and duration. In conventional methods of flood frequency analysis, the marginal distribution functions of peak flow, volume and duration are assumed to follow some specific parametric distribution function. The present work performs a better selection of marginal distribution functions for flood characteristics as both parametric and nonparametric estimation procedures are extensively followed. The methodology is demonstrated with 70‐year stream flow data of Red River at Grand Forks of North Dakota, USA.
Bivariate flood frequency analysis: Part 1. Determination of marginals by parametric and nonparametric techniques
J Flood Risk Management
Karmakar, S. (Autor:in) / Simonovic, S.P. (Autor:in)
Journal of Flood Risk Management ; 1 ; 190-200
01.12.2008
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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