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Using Artificial Neural Network to Assess Chlorine in Supply Systems: Artificial Neural Network Models to Assess Water Quality in Water Distribution Networks - Softcover
Synopsis
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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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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Using Artificial Neural Network to Assess Chlorine in Supply Systems
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LAP Lambert Academic Publishing Aug 2015, 2015
ISBN 10: 3659768863
ISBN 13: 9783659768866
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 148 pp. Englisch. Seller Inventory # 9783659768866
Quantity: 2 available
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Using Artificial Neural Network to Assess Chlorine in Supply Systems
Published by
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659768863
ISBN 13: 9783659768866
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Softcover
Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Cuesta Cordoba Gustavo AndresBorn 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 Distributi. Seller Inventory # 158962316
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Using Artificial Neural Network to Assess Chlorine in Supply Systems
Published by
LAP Lambert Academic Publishing Aug 2015, 2015
ISBN 10: 3659768863
ISBN 13: 9783659768866
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 148 pp. Englisch. Seller Inventory # 9783659768866
Quantity: 1 available
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Using Artificial Neural Network to Assess Chlorine in Supply Systems : Artificial Neural Network Models to Assess Water Quality in Water Distribution Networks
Published by
LAP Lambert Academic Publishing, 2015
ISBN 10: 3659768863
ISBN 13: 9783659768866
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783659768866
Quantity: 1 available