Chemical Dosing of Small Water Utilities Using Regression Analysis
Publication: Journal of Environmental Engineering
Volume 117, Issue 3
Abstract
A method for determining chemical dosing based on multiple regression analysis is presented. Due to smaller operating budgets, small plants often lack the full‐time laboratory technicians and testing equipment necessary to assess rapidly changing influent conditions. Therefore, this method is particularly applicable to small treatment utilities. It was found that alum and prelime dosage levels can be predicted from correlations with dosage levels of other chemicals in the treatment operation, physical parameters describing the influent conditions, and previous values of the dosage. From the confidence limits of the predicted dosage, it is also possible to assign dosage levels based upon the risk of underdosing. A comparison with the effectiveness of streaming current detectors indicates several influent conditions under which the regression approach may be more appropriate. By basing treatment decisions on statistical models of previous successful treatment operation, plant efficiency will be maximized—resulting in fewer plant upsets and more consistent water quality.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Berthouex, P. M. (1989). “Constructing control charts for wastewater treatment plant operation.” J. Water Pollut. Control Fed., 61(9), 1534–1551.
2.
Cesario, L. (1985). “Microcomputer software and trends in the water industry.” American Water Works Assoc. Seminar Proc., American Water Works Association.
3.
Chow, B. M. (1987). “Data bases: Getting the most for your money.” J. Am. Water Works Assoc., 79(6), 74–79.
4.
Collins, A. G., Nix, S. J., Tsay, T. K., Gera, A., and Hopkins, M. A. (1990). “The potential for expert systems in water utility operation and management.” J. Am. Water Works Assoc., 82(9), 44–51.
5.
“Committee report: Computers in the water industry.” (1990). J. Am. Water Works Assoc., 89(2), 85–94.
6.
Dentel, S. K., and Kingery, K. M. (1988). “Theoretical principles of streaming current detection.” Water Sci. Tech., 21(6), 443–453.
7.
Dentel, S. K., and Kingery, K. M. (1989). “Using streaming current detectors in water treatment.” J. Am. Water Works Assoc., 81(3), 85–94.
8.
Dentel, S. K., Thomas, A. V., and Kingery, K. M. (1989a). “Evaluation of the streaming current detector—I. Use in jar tests.” Water Res., 23(4), 413–421.
9.
Dentel, S. K., Thomas, A. V., and Kingery, K. M. (1989b). “Evaluation of the streaming current detector—II. Continuous flow tests.” Water Res., 23(4), 423–430.
10.
Ellis, G. W., Collins, A. G., and Ge, X. (1990a). “A stochastic approach to chemical dosage requirements for small treatment plants.” Proc 5th IAWPRC Workshop on Instrumentation, Control and Automation of Water and Wastewater Treatment Systems, International Association on Water Pollution Research and Control, 595–600.
11.
Ellis, G. W., Ge, X., and Grasso, D. (1990b). “Time series analysis of wastewater quality.” Proc. of the 5th IAWPRC Workshop on Instrumentation, Control and Automation of Water and Wastewater Treatment Systems, International Association on Water Pollution Research and Control, 441–448.
12.
Jayawardena, A. W., and Lai, F. (1989). “Time series analysis of water quality data in Pearl River, China.” J. of Envir. Engrg., 115(3), 590–607.
13.
Nix, S. J., Collins, A. G., and Tsay, T. (1989). Knowledge‐based expert systems in water utility operation and management. AWWA Research Foundation, Denver, Colo.
14.
Ossenbruggen, P. J. (1984). “Time series models for treatment of surface waters.” J. of Envir. Engrg., ASCE, 111(1), 27–44.
15.
Sprague, R. H., and Carlson, E. D. (1982). Building effective decision support systems. Prentice‐Hall, Englewood Cliffs, N.J.
Information & Authors
Information
Published In
Copyright
Copyright © 1991 ASCE.
History
Published online: May 1, 1991
Published in print: May 1991
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.