REAL-TIME FLOOD FORECASTING

Result code in 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>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

REAL-TIME FLOOD FORECASTING

Original language description

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

Czech name

KRÁTKODOBÁ PŘEDPOVĚĎ POVODŇOVÝCH PRŮTOKŮ

Czech description

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

Type

D - Article in proceedings

CEP classification

GA - Agricultural economics

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2006

Confidentiality

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

Article name in the collection

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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Number of pages

243

Pages from-to

0-242

Publisher name

CRP Gabriel Lippman

Place of publication

Belvaux

Event location

Luxembourg

Event date

Sep 20, 2006

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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