KRÁTKODOBÁ PŘEDPOVĚĎ POVODŇOVÝCH PRŮTOKŮ

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41410%2F06%3A15313" target="_blank" >RIV/60460709:41410/06:15313 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

REAL-TIME FLOOD FORECASTING

Popis výsledku v původním jazyce

The aim of the article is to test a real-time forecast ability of rainfall-runoff model QP, which assumes linear relationship between the rainfall and the resulting flow. Runoff predictions for particular time step are calculated on the basis of antecedent precipitation and antecedent discharges measured t time steps earlier. Hourly time resolution was used. Every t-hour prediction was counted on grounds of combinations of differently long time series of antecedent discharges (parameter q, q = 1 - 30) and antecedent precipitation (parameter p, p = 1 - 30); in other words for every t-hour prediction were tested 900 models. The forecast ability of particular models was evaluated by coefficient of determination R2. Calibration and validation of the modelwere made using independent data sets. Result shows forecast ability of different QP models. In this article were used hydrological data measured in experimental watershed of Department of Water Management and Environmental modelling (CUA

Název v anglickém jazyce

REAL-TIME FLOOD FORECASTING

Popis výsledku anglicky

The aim of the article is to test a real-time forecast ability of rainfall-runoff model QP, which assumes linear relationship between the rainfall and the resulting flow. Runoff predictions for particular time step are calculated on the basis of antecedent precipitation and antecedent discharges measured t time steps earlier. Hourly time resolution was used. Every t-hour prediction was counted on grounds of combinations of differently long time series of antecedent discharges (parameter q, q = 1 - 30) and antecedent precipitation (parameter p, p = 1 - 30); in other words for every t-hour prediction were tested 900 models. The forecast ability of particular models was evaluated by coefficient of determination R2. Calibration and validation of the modelwere made using independent data sets. Result shows forecast ability of different QP models. In this article were used hydrological data measured in experimental watershed of Department of Water Management and Environmental modelling (CUA

Druh

D - Stať ve sborníku

CEP obor

GA - Zemědělská ekonomie

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2006

Kód důvěrnosti údajů

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

Název statě ve sborníku

Uncertainties in the monitoring-conceptualisation-modelling sequence of catchment research

ISBN

2-919900-06-4

ISSN

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e-ISSN

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Počet stran výsledku

243

Strana od-do

0-242

Název nakladatele

CRP Gabriel Lippman

Místo vydání

Belvaux

Místo konání akce

Luxembourg

Datum konání akce

20. 9. 2006

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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