Fuzzy Model Use for Evaluation of Peak Outflow from a River Basin during Flash Flood

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F09%3APU81905" target="_blank" >RIV/00216305:26110/09:PU81905 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00020699:_____/09:N0000001

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Fuzzy Model Use for Evaluation of Peak Outflow from a River Basin during Flash Flood

Popis výsledku v původním jazyce

One of the most difficult tasks in field of the operative hydrology is the prediction of occurrence and course of the flash floods. It is difficult to predict torrential rain falls because their character. Usage of the nowcasting methods holds hope. Thetorrential rainfall prediction should be followed by suitable hydrological model able to estimate at least the resultant peak outflow. The hydrological models construction interferes with high measure of uncertainty, inherent in the rainfall prediction,rainfall-runoff process and its simulation. The way how to eliminate influence of uncertainty is to use the fuzzy logic and other artificial intelligence methods. The fuzzy model was compiled through the Fuzzy Logic Toolbox in the developmental environment of MATLAB. A model was calibrated with the help of genetic algorithm, neural networks and different optimization methods.

Název v anglickém jazyce

Fuzzy Model Use for Evaluation of Peak Outflow from a River Basin during Flash Flood

Popis výsledku anglicky

One of the most difficult tasks in field of the operative hydrology is the prediction of occurrence and course of the flash floods. It is difficult to predict torrential rain falls because their character. Usage of the nowcasting methods holds hope. Thetorrential rainfall prediction should be followed by suitable hydrological model able to estimate at least the resultant peak outflow. The hydrological models construction interferes with high measure of uncertainty, inherent in the rainfall prediction,rainfall-runoff process and its simulation. The way how to eliminate influence of uncertainty is to use the fuzzy logic and other artificial intelligence methods. The fuzzy model was compiled through the Fuzzy Logic Toolbox in the developmental environment of MATLAB. A model was calibrated with the help of genetic algorithm, neural networks and different optimization methods.

Druh

D - Stať ve sborníku

CEP obor

DA - Hydrologie a limnologie

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2009

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Integrating Water Systems

ISBN

978-0-415-54851-9

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

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Název nakladatele

Neuveden

Místo vydání

Sheffield

Místo konání akce

Sheffield

Datum konání akce

1. 9. 2009

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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