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Choosing an Appropriate Hydrological Model for Rainfall-Runoff Extremes in Small Catchments

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F15%3A00446457" target="_blank" >RIV/67985807:_____/15:00446457 - isvavai.cz</a>

  • Alternative codes found

    RIV/44555601:13520/15:43886735 RIV/60460709:41330/15:67781

  • Result on the web

    <a href="http://dx.doi.org/10.17221/16/2015-SWR" target="_blank" >http://dx.doi.org/10.17221/16/2015-SWR</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.17221/16/2015-SWR" target="_blank" >10.17221/16/2015-SWR</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Choosing an Appropriate Hydrological Model for Rainfall-Runoff Extremes in Small Catchments

  • Original language description

    Real and scenario prognosis in engineering hydrology often involves using simulation techniques of mathematical modelling the rainfall-runoff processes in small catchments. These catchments are often up to 50 km2 in area, their character is torrential, and the type of water flow is super-critical. Many of them are ungauged. The damage in the catchments is enormous, and the length of the torrents is about 23% of the total length of small rivers in the Czech Republic. The Smědá experimental mountainous catchment (with the Bílý potok downstream gauge) in the Jizerské hory Mts. was chosen as a model area for simulating extreme rainfall-runoff processes using two different models. For the purposes of evaluating and simulating significant rainfall-runoff episodes, we chose the KINFIL physically-based 2D hydrological model, and ANN, an artificial neural network mathematical ?learning model. A neural network is a model of the non-linear functional dependence between inputs and outputs with fre

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/TA02020402" target="_blank" >TA02020402: WATER REGIME OPTIMISATION IN LANDSCAPE FOR REDUCING THE IMPACT OF HYDROLOGICAL EXTREMES</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Soil & Water Research

  • ISSN

    1801-5395

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    10

  • Pages from-to

    137-146

  • UT code for WoS article

    000359331100001

  • EID of the result in the Scopus database

    2-s2.0-84937836541