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CUESTA CORDOBA, G. TUHOVČÁK, L. TAUŠ, M.
Originální název
Using artificial neural network models to assess water quality in water distribution networks
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The purpose of the research is to assess chlorine concentration in WDS using statistical models based on ANN in combination with Monte-Carlo. This approach offers advantages in contrast to the generally use methods for modeling of chlorine decay in drinking water systems until now. The model was tested on one specific location using the hydraulic and water quality parameters such as flow, pH, temperature, etc. The model allows forecasting chlorine concentration at selected nodes of the water supply system. The results obtained in these selected nodes allow then to compare the chlorine concentration with EPANET in the system under assessment.
Klíčová slova
water distribution systems, chlorine decay, artificial neural networks, Monte Carlo Method
Autoři
CUESTA CORDOBA, G.; TUHOVČÁK, L.; TAUŠ, M.
Rok RIV
2014
Vydáno
30. 4. 2014
Nakladatel
Elsevier
Místo
Philadelphia, USA
ISSN
1877-7058
Periodikum
Procedia Engineering
Ročník
70
Číslo
1
Stát
Nizozemsko
Strany od
399
Strany do
408
Strany počet
10
URL
https://www.sciencedirect.com/science/article/pii/S1877705814000472
Plný text v Digitální knihovně
http://hdl.handle.net/11012/194720
BibTex
@inproceedings{BUT108425, author="Gustavo Andres {Cuesta Cordoba} and Ladislav {Tuhovčák} and Miloslav {Tauš}", title="Using artificial neural network models to assess water quality in water distribution networks", booktitle="PROCEDIA ENGINEERING, volume 70", year="2014", journal="Procedia Engineering", volume="70", number="1", pages="399--408", publisher="Elsevier", address="Philadelphia, USA", doi="10.1016/j.proeng.2014.02.045", issn="1877-7058", url="https://www.sciencedirect.com/science/article/pii/S1877705814000472" }