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Longer Period Runoff Forecasts by Mean of Multilayer Perceptron Neural Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13520%2F09%3A00005107" target="_blank" >RIV/44555601:13520/09:00005107 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Longer Period Runoff Forecasts by Mean of Multilayer Perceptron Neural Networks

  • Original language description

    The article addresses the modelling of runoff based on precipitation data collected in the Sázava River and Ploučnice River basins. Knowledge acquired in previous research in the Ploučnice River basin was found to be useful in this study. Rainfall and runoff data (both with a 1 hour time step) were obtained from the Czech Hydrometeorological Institute (CHMI). The time period of Aug.1?Sept.11, 2002 was selected, mainly because of the flood event on the 14th of Aug., 2002 in the Sázava River basin. Calculations were performed with feed-forward neural networks, namely multi-layer perceptron networks trained by back propagation. Network architectures were tested on 1-hour predictions first and then compared with the 6-hour predictions. The role of the accumulated runoff input has been also studied.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    DA - Hydrology and limnology

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/WD-44-07-1" target="_blank" >WD-44-07-1: Modelling solution of revitalisation of industrial regions and post-mining areas on the example of the Ore Mountains Foothills</a><br>

  • Continuities

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

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Environmental Accounting - Sustainable Development Indicators

  • ISBN

    978-80-7414-124-9

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

  • Publisher name

    Univerzita J. E. Purkyně

  • Place of publication

    Ústí nad Labem

  • Event location

    Praha

  • Event date

    Apr 23, 2009

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article