Please use this identifier to cite or link to this item: http://www.repositorio.ufc.br/handle/riufc/11211
Title in Portuguese: Application of fuzzy set theory to flood risk analysis in natural rivers as a function of hydraulic parameters
Author: Santos, Sílvia Helena Lima dos
Chagas, Patricia Freire
Andrade, Carla Freitas de
Ueta, Vanessa
Souza, Raimundo Oliveira de
Keywords: Controle de cheias
Modelo hidrodinâmico
Avaliação de riscos
Issue Date: 2010
Publisher: Hydrology Days
Citation: SANTOS, S. H. et al. Application of fuzzy set theory to flood risk analysis in natural rivers as a function of hydraulic parameters. In: HYDROLOGY DAYS, 2010, Fort Collins. Anais... Fort Collins: Colorado State University, 2010.
Abstract: A 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.
URI: http://www.repositorio.ufc.br/handle/riufc/11211
metadata.dc.type: Outros
Appears in Collections:DEHA - Trabalhos apresentados em eventos

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