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Application of fuzzy set theory to flood risk analysis in natural rivers as a function of hydraulic parameters

dc.contributor.authorSantos, Silvia Helena, author
dc.contributor.authorChagas, Patrícia Freire, author
dc.contributor.authorAndrade, Carla Freitas, author
dc.contributor.authorUeta, Vanessa, author
dc.contributor.authorSouza, Raimundo, author
dc.contributor.authorColorado State University, publisher
dc.date.accessioned2020-02-11T14:43:27Z
dc.date.available2020-02-11T14:43:27Z
dc.date.issued2010
dc.description2010 annual AGU hydrology days was held at Colorado State University on March 22 - March 24, 2010.
dc.descriptionIncludes bibliographical references.
dc.description.abstractA mathematical model based on the Saint-Venant hydrodynamic equations, combined with fuzzy set theory, is developed in order to study the influence of hydraulic parameter of Natural River on the flood risk. To do so, the set of differential equations, in FUZZY formulation, is solved by numerical difference method, so that the membership functions of all control variables related with the flow could be calculated. With base in these membership functions the model is capable of evaluating the fuzzy risk for such area subjected to the flood process during intense rains. A computer program QUARIGUA (Risk Quantitative Analysis of Flooding in Urban Rivers) is used to perform the simulations. The computer program QUARIGUA is organized in a modular manner, with two main modules: the deterministic module, where the depth of the water in the river and the flow of the channel are calculated as discreet values; and the fuzzy module, based on the fuzzy set theory, where the depth of the water and the flow are calculated as membership functions. The simulations demonstrate the reliability, versatility and computational efficiency of the proposed model to evaluate fields of risk and reliability in hydrodynamics systems.
dc.format.mediumborn digital
dc.format.mediumproceedings (reports)
dc.identifier.urihttps://hdl.handle.net/10217/200820
dc.identifier.urihttp://dx.doi.org/10.25675/10217/200820
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofHydrology Days
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectflood control
dc.subjecthydrodynamic models
dc.subjectrisk analysis
dc.titleApplication of fuzzy set theory to flood risk analysis in natural rivers as a function of hydraulic parameters
dc.title.alternativeHydrology days 2010
dc.title.alternativeAGU hydrology days 2010
dc.typeText

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