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Chlorine decay in the water supply network
Kolková, Hana ; Hrich, Karel (referee) ; Ručka, Jan (advisor)
The diploma thesis deals with the rate of free chlorine dacay in the water supply systems. In the general part of the work are mentioned the forms of chlorine that can be encountered in its use for disinfection of drinking water. Another chapter is the modeling of chlorine decomposition in water during pipeline distribution. This chapter deals with the kinetic reactions of chlorine and their orders, and subsequently with factors influencing the rate of chlorine loss. Closer deals with pipe wall chlorine decay and the bulk water flow chlorine decay. The second part of the diploma thesis is focused on determining the constant kb, which is the rate coefficient of loss of chlorine in the pipeline caused by the flow of water. The work contains several researches of various world studies that deal with this issue. The following is a step-by-step guide to performing this test. The last part deals with the case studies at the waterworks in Kateřinice and Brno. On these tapes the chlorine concentration was measured over time and a constant kb was determined based on these results, expressing the rate of free chlorine decay in bulk water flow.
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Using Artificial Neural Network Models to Assess Water Quality in Water Distribution Networks
Cuesta Cordoba, Gustavo Andres ; Tuhovčák, Ladislav (advisor)
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 residual concentration is affected by a phenomenon known as chlorine decay, which means that chlorine reacts with other components along the system and its concentration decrease. 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 thesis 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 decay. Recent investigations of the water quality have shown the need of the use of non-linear modeling for chlorine decay prediction. Chlorine decay in a pipeline is a complex phenomenon so it requires techniques that can provide reliable and efficient representation of the complexity of this behavior. Statistical models based on Artificial Neural Networks (ANN) have been found appropriated for the investigation and solution of problems related with non-linearity in the chlorine decay prediction offering advantages over more conventional modeling techniques. In this sense, this thesis uses a specific neural network application to solve the problem of forecasting the residual chlorine
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Using Artificial Neural Network Models to Assess Water Quality in Water Distribution Networks
Cuesta Cordoba, Gustavo Andres ; Tuhovčák, Ladislav (advisor)
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 residual concentration is affected by a phenomenon known as chlorine decay, which means that chlorine reacts with other components along the system and its concentration decrease. 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 thesis 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 decay. Recent investigations of the water quality have shown the need of the use of non-linear modeling for chlorine decay prediction. Chlorine decay in a pipeline is a complex phenomenon so it requires techniques that can provide reliable and efficient representation of the complexity of this behavior. Statistical models based on Artificial Neural Networks (ANN) have been found appropriated for the investigation and solution of problems related with non-linearity in the chlorine decay prediction offering advantages over more conventional modeling techniques. In this sense, this thesis uses a specific neural network application to solve the problem of forecasting the residual chlorine
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|
|
Chlorine decay in the water supply network
Kolková, Hana ; Hrich, Karel (referee) ; Ručka, Jan (advisor)
The diploma thesis deals with the rate of free chlorine dacay in the water supply systems. In the general part of the work are mentioned the forms of chlorine that can be encountered in its use for disinfection of drinking water. Another chapter is the modeling of chlorine decomposition in water during pipeline distribution. This chapter deals with the kinetic reactions of chlorine and their orders, and subsequently with factors influencing the rate of chlorine loss. Closer deals with pipe wall chlorine decay and the bulk water flow chlorine decay. The second part of the diploma thesis is focused on determining the constant kb, which is the rate coefficient of loss of chlorine in the pipeline caused by the flow of water. The work contains several researches of various world studies that deal with this issue. The following is a step-by-step guide to performing this test. The last part deals with the case studies at the waterworks in Kateřinice and Brno. On these tapes the chlorine concentration was measured over time and a constant kb was determined based on these results, expressing the rate of free chlorine decay in bulk water flow.
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