Residence time methods for modelling and assessing the performance of water treatment processes.
TL;DRAbstract
The objective of this study was to provide a technique, based on the residence time distribution of a process, for modelling, assessing and improving flow in the processes of water and waste water treatment works.The technique should be accessible to the staff managing and operating the works.From a review of the literature, a preference was given for the experimental method used for determination of the tracer response, including choice of tracer and tracer addition and monitoring.Data analysis techniques were reviewed, and the method of time domain fitting was developed into a computer program, IMPULSE.IMPULSE provided a tool for analysis of residence time data, and removed the constraint of numerical complexity.Using the building blocks of IMPULSE, a realistic flow model can be constructed from tracer data and evaluated.IMPULSE allows a quantitative comparison of models proposed for a process, and provides the parameters of the models.These parameters quantify the non-idealities in
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The objective of this study was to provide a technique, based on the residence time distribution of a process, for modelling, assessing and improving flow in the processes of water and waste water treatment works.The technique should be accessible to the staff managing and operating the works.From a review of the literature, a preference was given for the experimental method used for determination of the tracer response, including choice of tracer and tracer addition and monitoring.Data analysis techniques were reviewed, and the method of time domain fitting was developed into a computer program, IMPULSE.IMPULSE provided a tool for analysis of residence time data, and removed the constraint of numerical complexity.Using the building blocks of IMPULSE, a realistic flow model can be constructed from tracer data and evaluated.IMPULSE allows a quantitative comparison of models proposed for a process, and provides the parameters of the models.These parameters quantify the non-idealities in
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