Modeling Sewage Treatment Plant Input BOD Data

by Paul M. Berthouex, (A.M.ASCE), Assoc. Prof.; Civ. and Environmental Engrg., Univ. of Wisconsin-Madison, Madison, Wisc.,
Chun-Yen Shih, Research Asst.; Dept. of Civ. and Environmental Engrg., Univ. of Wisconsin-Madison, Madison, Wisc.,
Lars C. Pallesen, Research Asst.; Dept. of Statistics, Univ. of Wisconsin-Madison, Madison, Wisc.,
William G. Hunter, Prof.; Statistics and Engrg., Univ. of Wisconsin-Madison, Madison, Wisc.,


Serial Information: Journal of the Environmental Engineering Division, 1975, Vol. 101, Issue 1, Pg. 127-138


Document Type: Journal Paper

Discussion: Adams Barry J. (See full record)
Discussion: Shahane Ashok N. (See full record)

Abstract: A wastewater treatment plant is a complex stochastic dynamic system. The methodology developed by Box and Jenkins to model time series is used to characterize the field BOD input data for a sewage treatment plant. A simple first-order autoregressive model describes the data fairly well for many engineering purposes. Modeling system inputs and outputs is the first step in deriving stochastic-dynamic transfer functions for the system.

Subject Headings: Data processing | Wastewater treatment plants | Autoregressive models | Stochastic processes | Sewage | Time series analysis | Field tests

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