Using Artificial Neural Network to Assess Chlorine in Supply Systems: Artificial Neural Network Models to Assess Water Quality in Water Distribution Networks - Softcover

Cuesta Cordoba, Gustavo Andres

 
9783659768866: Using Artificial Neural Network to Assess Chlorine in Supply Systems: Artificial Neural Network Models to Assess Water Quality in Water Distribution Networks
Softcover
ISBN 10: 3659768863 ISBN 13: 9783659768866
Verlag: LAP LAMBERT Academic Publishing, 2015

Inhaltsangabe

A water distribution system (WDS) is based in a network of interconnected hydraulic components to transport the water directly to the customers. Water must be treated in a Water Treatment Plant (WTP) to provide safe drinking water to consumers, free from pathogenic and other undesirable organisms. The disinfection is an important aspect in achieving safe drinking water and preventing the spread of waterborne diseases. Chlorine is the most commonly used disinfectant in conventional water treatment processes because of its low cost, its capacity to deactivate bacteria, and because it ensures residual concentrations in WDS to prevent microbiological contamination. Chlorine is measured at the output of the WTP and also in several considered points within the WDS to control the water quality in the system. Simulation and modeling methods help to predict in an effective way the chlorine concentration in the WDS. The purpose of the book is to assess chlorine concentration in some strategic points within the WDS by using the historical measured data of some water quality parameters that influence chlorine.

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Reseña del editor

A water distribution system (WDS) is based in a network of interconnected hydraulic components to transport the water directly to the customers. Water must be treated in a Water Treatment Plant (WTP) to provide safe drinking water to consumers, free from pathogenic and other undesirable organisms. The disinfection is an important aspect in achieving safe drinking water and preventing the spread of waterborne diseases. Chlorine is the most commonly used disinfectant in conventional water treatment processes because of its low cost, its capacity to deactivate bacteria, and because it ensures residual concentrations in WDS to prevent microbiological contamination. Chlorine is measured at the output of the WTP and also in several considered points within the WDS to control the water quality in the system. Simulation and modeling methods help to predict in an effective way the chlorine concentration in the WDS. The purpose of the book is to assess chlorine concentration in some strategic points within the WDS by using the historical measured data of some water quality parameters that influence chlorine.

Biografía del autor

Born in Fonseca, La Guajira, Colombia, Gustavo Andres Cuesta is a PhD researcher who successfully finalized his thesis of Using Artificial Neural Network Models to Assess Water Quality in Water Distribution Networks in Brno University of Technology, Czech Republic.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2015
Sprache
Englisch
ISBN 10 
3659768863
ISBN 13 
9783659768866
Einband
Tapa blanda
Anzahl der Seiten
148
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