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Pitfalls in Parameter Estimation For Oxygen Transfer Data WILLIAM C. BOYLE, Professor P.M. BERTHOUEX, Assistant Professor Civil Engineering Department University of Wisconsin Madison, Wisconsin 53706 THOMAS C. ROONEY, Research Supervisor Environmental Process Department Rexnord, Inc. Milwaukee, Wisconsin 53214 INTRODUCTION The testing of aeration equipment has received extensive scrutiny over the last fifteen years. During this period investigators have given attention to both physical and chemical factors which may influence aerator test results. Given that the investigator handles all these factors in the best possible way, he has left the problem of using the data obtained to estimate parameters that describe the efficiency of the aeration system. It is the primary objective of this paper to discuss some of the pitfalls of methods of parameter estimation applicable to the analysis of oxygen transfer data. Considerable research effort has been invested in developing and checking models for oxygen absorption in water. A majority of these efforts have dealt with the effects of the physical environment on the mass transfer coefficient. Such information is of great value when designing aeration systems. Even so, engineers most often employ the overall mass transfer coefficient Kl a to characterize a specified piece of equipment under a specified set of physical conditions. It will be assumed throughout this paper that the first order oxygen transfer model is the correct model. We have, therefore, by decree satisfied the first two requirements for fitting data to estimate the parameters in a model: 1) write the correct model, and 2) collect data according to sound experimental procedures. FIRST ORDER MASS TRANSFER MODEL This model is so familiar that it is given only to clarify nomenclature and make clear which mathematical function is being treated as the model. The rate of oxgyen transfer is: dC/dt =K]^a(C* -C) (1) where C* is the dissolved oxygen saturation concentration under the test conditions of temperature, pressure, and salinity, C is the dissolved oxygen concentration at time t, and Kj^a is the overall mass transfer coefficient. For simplicity Ki a is hereafter noted simply as For an initial dissolved oxygen concentration of Co at time zero (tQ) the integrated form of Equation 1 is: * ln C*"-C° =K(t'tD) (2) or C = C*-(C*-C0) exp(K(t-t0)) (3) 645
Object Description
Purdue Identification Number | ETRIWC197357 |
Title | Pitfalls in parameters estimation for oxygen transfer data |
Author |
Boyle, William C. (William Charles), 1936- Berthouex, P. Mac (Paul Mac), 1940- Rooney, T. C. (Thomas C.) |
Date of Original | 1973 |
Conference Title | Proceedings of the 28th Industrial Waste Conference |
Conference Front Matter (copy and paste) | http://earchives.lib.purdue.edu/u?/engext,23197 |
Extent of Original | p. 645-660 |
Series | Engineering extension series no. 142 |
Collection Title | Engineering Technical Reports Collection, Purdue University |
Repository | Purdue University Libraries |
Rights Statement | Digital object copyright Purdue University. All rights reserved. |
Language | eng |
Type (DCMI) | text |
Format | JP2 |
Date Digitized | 2009-06-24 |
Capture Device | Fujitsu fi-5650C |
Capture Details | ScandAll 21 |
Resolution | 300 ppi |
Color Depth | 8 bit |
Description
Title | page 645 |
Collection Title | Engineering Technical Reports Collection, Purdue University |
Repository | Purdue University Libraries |
Rights Statement | Digital object copyright Purdue University. All rights reserved. |
Language | eng |
Type (DCMI) | text |
Format | JP2 |
Capture Device | Fujitsu fi-5650C |
Capture Details | ScandAll 21 |
Transcript | Pitfalls in Parameter Estimation For Oxygen Transfer Data WILLIAM C. BOYLE, Professor P.M. BERTHOUEX, Assistant Professor Civil Engineering Department University of Wisconsin Madison, Wisconsin 53706 THOMAS C. ROONEY, Research Supervisor Environmental Process Department Rexnord, Inc. Milwaukee, Wisconsin 53214 INTRODUCTION The testing of aeration equipment has received extensive scrutiny over the last fifteen years. During this period investigators have given attention to both physical and chemical factors which may influence aerator test results. Given that the investigator handles all these factors in the best possible way, he has left the problem of using the data obtained to estimate parameters that describe the efficiency of the aeration system. It is the primary objective of this paper to discuss some of the pitfalls of methods of parameter estimation applicable to the analysis of oxygen transfer data. Considerable research effort has been invested in developing and checking models for oxygen absorption in water. A majority of these efforts have dealt with the effects of the physical environment on the mass transfer coefficient. Such information is of great value when designing aeration systems. Even so, engineers most often employ the overall mass transfer coefficient Kl a to characterize a specified piece of equipment under a specified set of physical conditions. It will be assumed throughout this paper that the first order oxygen transfer model is the correct model. We have, therefore, by decree satisfied the first two requirements for fitting data to estimate the parameters in a model: 1) write the correct model, and 2) collect data according to sound experimental procedures. FIRST ORDER MASS TRANSFER MODEL This model is so familiar that it is given only to clarify nomenclature and make clear which mathematical function is being treated as the model. The rate of oxgyen transfer is: dC/dt =K]^a(C* -C) (1) where C* is the dissolved oxygen saturation concentration under the test conditions of temperature, pressure, and salinity, C is the dissolved oxygen concentration at time t, and Kj^a is the overall mass transfer coefficient. For simplicity Ki a is hereafter noted simply as For an initial dissolved oxygen concentration of Co at time zero (tQ) the integrated form of Equation 1 is: * ln C*"-C° =K(t'tD) (2) or C = C*-(C*-C0) exp(K(t-t0)) (3) 645 |
Resolution | 300 ppi |
Color Depth | 8 bit |
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