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
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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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
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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