Time Series Models for Treatment of Surface Waters
Publication: Journal of Environmental Engineering
Volume 111, Issue 1
Abstract
The use of probability models derived from a long‐term (30 yr) color record forms an approach of forecasting raw water color and assigning an alum dose for treatment of surface waters. Three probabilistic models are developed which incorporate the uncertainties associated with forecasting raw water color and alum dose. These forecasts are based upon the risk or probability associated with underdosing. The effect of seasonal and daily color variation is incorporated into one time series model. In the other time series model, daily color variation is considered exclusively. All models are compared for treatment performance. The methods of model identification, parameter estimation, and forecasting are presented for each model. The results indicate that the two time series models are feasible methods because they lead to the judicious use of alum without excessive overdosing.
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References
1.
Benjamin, J. R., and Cornell, C. A., Probability, Statistics, and Decision for Civil Engineers, 1st Ed., McGraw‐Hill Book Co., New York, N.Y., 1970, pp. 262–267.
2.
Box, G. E. P., and Jenkins, G. M., Time Series Analysis Forecasting and Control, Holden‐day, San Francisco, Calif., 1970, pp. 46–66.
3.
Draper, N. R., and Smith, H., Applied Regression Analysis, John Wiley and Sons, Inc., New York, N.Y., 1966, pp. 21–24.
4.
Gallot, W. J., “Optimum Alum Dose Selection for the Durham Water Treatment Plant,” thesis presented to the University of New Hampshire, at Durham, N.H., in 1980, in partial fulfillment of the requirements for the degree of Master of Science.
5.
Rezania, S., “The Effects of pH and Temperature on the Soluble Aluminum Concentration in Natural Waters,” presented at the New England Water Pollution Control Association Annual Meeting, Jan. 23, 1984, NEWPCA meeting, held at Boston, Mass.
6.
Salas, J. D., Delleur, J. W., Yevjevich, V., and Lane, W. L., Applied Modeling of Hydrologic Time Series, Water Resources Publications, Fort Collins, Colo., 1980, pp. 357–358.
7.
Viscardi, D., “The Influence of Temperature on the Removal of Organic Color from Drinking Water,” thesis presented to the University of New Hampshire, at Durham, N.H., in 1983, in partial fulfillment of the requirements for the degree of Master of Science.
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Copyright © 1985 ASCE.
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Published online: Feb 1, 1985
Published in print: Feb 1985
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