Project detail

Development of a Neural Model for Forecasting Residual Chlorine Decay / Vývoj neuronového modelu pro předvídání rozkladu zbytkového chlóru

Duration: 1.1.2011 — 31.12.2011

Funding resources

Vysoké učení technické v Brně - Vnitřní projekty VUT

On the project

This project presents the application of Artificial Neural Networks (ANN) models for the purpose of forecasting chlorine decay at selected points of a water distribution network. Resent investigation about the water quality have shown the need of use non-linear modelling for chlorine decay prediction. Chlorine decay in a pipeline is a complex phenomenon so it requires techniques that can provide reliable and efficient respresentation of the complexity of this behavior.

Description in Czech
This project presents the application of Artificial Neural Networks (ANN) models for the purpose of forecasting chlorine decay at selected points of a water distribution network. Resent investigation about the water quality have shown the need of use non-linear modelling for chlorine decay prediction. Chlorine decay in a pipeline is a complex phenomenon so it requires techniques that can provide reliable and efficient respresentation of the complexity of this behavior.

Keywords
Chlorine Decay; Water Distribution System; Monte Carlo; Neural Networks

Key words in Czech
Chlorine Decay; Water Distribution System; Monte Carlo; Neural Networks

Mark

FAST-J-11-3

Default language

English

People responsible

Cuesta Cordoba Gustavo Andres, Ing., Ph.D. - principal person responsible
Tuhovčák Ladislav, doc. Ing., CSc. - fellow researcher

Units

Institute of Municipal Water Management
- responsible department (1.1.1989 - not assigned)
Institute of Municipal Water Management
- internal (1.1.2012 - 31.12.2012)
Faculty of Civil Engineering
- beneficiary (1.1.2012 - 31.12.2012)

Results

CUESTA CORDOBA, G.; TUHOVČÁK, L.; TAUŠ, M. Using artificial neural network models to assess water quality in water distribution networks. In PROCEDIA ENGINEERING, volume 70. Procedia Engineering. Philadelphia, USA: Elsevier, 2014. p. 399-408. ISSN: 1877-7058.
Detail

KUČERA, T. Recenze na článek Development of a neural model for forecasting residual chlorine decay - Našiměřice, Czech Republic case study - doktoranda Ing. Gustava Andrese Cuesta Cordoby (Apollo 97000). Brno, ČR: VUT v Brně, Fakulta stavební, 2012.
Detail

CUESTA CORDOBA, G. Development of a neural model for forecasting residual chlorine decay - Našiměřice, Czech Republic case study. In JUNIORSTAV 2012. 1. Brno, ČR: VUT v Brně, Fakulta stavební, 2012. p. 313-320. ISBN: 978-80-214-4393-8.
Detail

Responsibility: Cuesta Cordoba Gustavo Andres, Ing., Ph.D.