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CUESTA CORDOBA, G. TUHOVČÁK, L. TAUŠ, M.
Original Title
Using artificial neural network models to assess water quality in water distribution networks
Type
conference paper
Language
English
Original Abstract
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.
Keywords
water distribution systems, chlorine decay, artificial neural networks, Monte Carlo Method
Authors
CUESTA CORDOBA, G.; TUHOVČÁK, L.; TAUŠ, M.
RIV year
2014
Released
30. 4. 2014
Publisher
Elsevier
Location
Philadelphia, USA
ISBN
1877-7058
Periodical
Procedia Engineering
Year of study
70
Number
1
State
Kingdom of the Netherlands
Pages from
399
Pages to
408
Pages count
10
URL
https://www.sciencedirect.com/science/article/pii/S1877705814000472
Full text in the Digital Library
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" }