Using Artificial Neural Network to Assess Chlorine in Supply Systems | Artificial Neural Network Models to Assess Water Quality in Water Distribution Networks

Gustavo Andres Cuesta Cordoba

ISBN 10: 3659768863 / ISBN 13: 9783659768866

Published by LAP Lambert Academic Publishing, 2015

About this Item

Using Artificial Neural Network to Assess Chlorine in Supply Systems | Artificial Neural Network Models to Assess Water Quality in Water Distribution Networks | Gustavo Andres Cuesta Cordoba | Taschenbuch | 148 S. | Englisch | 2015 | LAP Lambert Academic Publishing | EAN 9783659768866 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 104244307

Bibliographic Details

• Title: Using Artificial Neural Network to Assess Chlorine in Supply Systems | Artificial Neural Network Models to Assess Water Quality in Water Distribution Networks
• Publisher: LAP Lambert Academic Publishing
• Publication Date: 2015
• Language: English
• ISBN 10: 3659768863
• ISBN 13: 9783659768866
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 10D millimeters 220 millimeters width by 150 millimeters height by 10 millimeters depth
• Weight: 238 grams
• Seller catalogs:
  • Bücher

About this title

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.

About the Author

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.