Stochastic System Identification of Sewer‐Flow Models
Publication: Journal of Environmental Engineering
Volume 116, Issue 2
Abstract
Modeling of sewer flow and quality is essential for real‐time control of sewer systems and minimization of combined sewer overflows (CSO). Studies have shown that CSOs contribute substantially to the overall pollution loads discharged into surface‐water bodies. A modeling strategy based on system identification analysis of single‐input, single‐output stochastic processes is presented in this paper. An application example is illustrated using the flow and rainfall time series observed in the collection system discharging to the treatment plant of Fusina (Venice, Italy). The advantages of this type of modeling strategy, compared with a traditional deterministic model, are the relative simplicity of the model, its requirement for a minimal amount of investigation to describe the physical system, and the possibility of continuous updates of the model as the system data base expands. Furthermore, stochastic models are able to reflect truly the dynamic features of the system under investigation and allow the prediction of its future behavior with a specified degree of confidence.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Adeyemi, S. O., Wu, S. M., and Berthouex, P. M. (1979). “Modeling and control of phosphorus removal process by multivariate time series method.” Water Res., 13(1), 105–112.
2.
Barnes, W. J., and Rowe, F. A. (1978). “Modeling sewer flows using time series analysis.” J. Envir. Engrg. Div., ASCE, 104(1), 639–646.
3.
Berthouex, P. M., et al. (1975). “Modeling sewage treatment plant input BOD data.” J. Envir. Engrg. Div., ASCE, 101(1), 127–138.
4.
Box, G. E. P., and Jenkins, G. M. (1976). Time series analysis, forecasting and control, Rev. Ed., Holden‐Day Inc., Oakland, Calif.
5.
Capodaglio, A. G., and Moisello, U. (1990). “Simple stochastic model for annual flows.” J. Water Res. Mgmt. Planning, ASCE, 116(2), 220–232.
6.
Caroni, E., Singh, V. P., and Ubertini, L. (1984). “Rainfall‐runoff‐sediment yield relation by stochastic modeling.” Hydrological Sci. J., 29(2), 203–218.
7.
Haltiner, J. P., and Salas, J. D. (1988). “Short‐term forecasting of snowmelt runoff using ARMAX models.” Water Res. Bulletin, 24(5), 1083–1089.
8.
Katz, W. J., et al. (1989). “Real time control for wet weather operations of municipal wastewater treatment systems.” Paper presented at the 1989 nat. conf. AMSA, Jan. 22‐27, Miami, Fla.
9.
Ljung, L. (1987). System identification: Theory for the user. Prentice‐Hall, Inc., Englewood Cliffs, N.J.
10.
Novotny, V. (1988). “Modeling of sewer flow quality.” Paper presented at the U.S.‐Italy bilateral conf. on urban runoff drainage, Cagliari (Italy).
11.
Novotny, V. (1989). “CS‐FOCUS: Concepts, theory and model description.” AquaNova Interntl., Mequon, Wis.
12.
Novotny, V., and Zheng, S. (1989). “Rainfall‐runoff transfer function by ARMA modeling.” J. Hydr. Engrg., ASCE, 10(6), 1386–1400.
13.
Pandit, S. M., and Wu, S. M. (1983). Time series and system analysis with applications. John Wiley & Sons, New York, N.Y.
14.
Wu, G. Y. (1987). “System identification and adaptive control.” Haerbin Industrial University Publishing Co., Haerbin, People's Republic of China (in Chinese).
15.
Yule, G. U. (1927). “On a method of investigating periodicities in distributed series, with special reference to Wolfer's sunspot numbers,” Phil. Trans., A226.
16.
Zheng, S. (1989). “Stochastic modeling of urban drainage systems,” thesis presented to Marquette University, at Milwaukee, Wis., in partial fulfillment of the requirements for the degree of Doctor of Philosophy.
Information & Authors
Information
Published In
Journal of Environmental Engineering
Volume 116 • Issue 2 • March 1990
Pages: 284 - 298
Copyright
Copyright © 1990 ASCE.
History
Published online: Mar 1, 1990
Published in print: Mar 1990
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.