Simulation of Uncertainty in Rainfall-Runoff Models and their Statistical Evaluation in the Floreon System

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86084900" target="_blank" >RIV/61989100:27240/12:86084900 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/12:86084900

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Simulation of Uncertainty in Rainfall-Runoff Models and their Statistical Evaluation in the Floreon System

Popis výsledku v původním jazyce

Floods are the most frequent natural disasters affecting the Moravian-Silesian region. Therefore a system that could predict flood extents and help in the operative disaster management was requested. The FLOREON+ system was created to fulfil these requests. This article describes statistical evaluation of the rainfall-runoff models in the FLOREON+ system and modelling of uncertainty in the environment parameters of the model. The Monte-Carlo simulation method is used for estimating possible river discharge volumes based on the uncertainty of precipitation and meteorology forecast and provides several confidence intervals that can support the decisions in the operational disaster management. Experiments with other environment parameters and their influence on final river discharge volumes are also discussed.

Název v anglickém jazyce

Simulation of Uncertainty in Rainfall-Runoff Models and their Statistical Evaluation in the Floreon System

Popis výsledku anglicky

Floods are the most frequent natural disasters affecting the Moravian-Silesian region. Therefore a system that could predict flood extents and help in the operative disaster management was requested. The FLOREON+ system was created to fulfil these requests. This article describes statistical evaluation of the rainfall-runoff models in the FLOREON+ system and modelling of uncertainty in the environment parameters of the model. The Monte-Carlo simulation method is used for estimating possible river discharge volumes based on the uncertainty of precipitation and meteorology forecast and provides several confidence intervals that can support the decisions in the operational disaster management. Experiments with other environment parameters and their influence on final river discharge volumes are also discussed.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

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

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

The 11th International Conference on Modeling and Applied Simulation, MAS 2012 : September 19-21 2012, Vienna, Austria

ISBN

978-88-97999-02-7

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

128-133

Název nakladatele

DIME Universit? Di Genova

Místo vydání

Genova

Místo konání akce

Vídeň

Datum konání akce

19. 9. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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