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The identification and adaptive prediction of urban sewer flows

  • M. B. Beck
Human Environment (Water Pollution)
Part of the Lecture Notes in Computer Science book series (LNCS, volume 40)

Abstract

The major limitation in this study of the adaptive prediction of urban sewer flows has been the poor quality of the data. In any future study it can be expected that, while pumping disturbances may not be eliminated completely, better data would be available for analysis. With a view to on-line implementation of the predictor it would, therefore, be important to site the flow-measuring equipment at a carefully chosen location.

One-step ahead forecasts of the plant influent flow are obtained from an adaptive predictor which closely approaches the satisfaction of the practical constraints on the system: namely, as little automated instrumentation as possible should be assumed. The salient feature of the black box model for the predictor is its simplicity and compactness when compared with other, largely deterministic, models based on the physical laws of the system behaviour. For it should be remembered that the currently existing technology of wastewater treatment favours the simple rather than the sophisticated.

Keywords

Biochemical Oxygen Demand Auxiliary Variable Urban Runoff Sewer Network Influent Flow 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    ÅSTRÖM K.J., "Introduction to stochastic control theory", Academic Press, New York, 1970.Google Scholar
  2. 2.
    ÅSTRÖM K.J., and BOHLIN T., "Numerical identification of linear dynamic systems from normal operating records", Proc. IFAC symp. Theory of self-adaptive control systems, Teddington, England, 1965.Google Scholar
  3. 3.
    BECK M.B., "The identification and prediction of urban sewer flows — a preliminary study", Report 7432(C), Lund Inst. Techn., Div. Aut. Contr., 1974.Google Scholar
  4. 4.
    BECK, M.B., "Dynamic modelling and control applications in water quality maintenance", Report CUED/F — Contr/TR92, Control Group, Univ. Eng. Dept., Cambridge 1975.Google Scholar
  5. 5.
    BERTHOEUX P.M., HUNTER W.G., PALLESEN L.C., and SHIH C-Y., "Modelling sewage treatment plant influent data", Proc. A.S.C.E., J. Env. Eng. Div., Vol. 101, No. EE1, pp 127–138, Feb. 1975.Google Scholar
  6. 6.
    BOX G.E.P., and JENKINS G.M., "Time-series analysis, forecasting and control", Holden-Day, San Francisco, (1970).Google Scholar
  7. 7.
    CHEN C.W. and SCHUBINSKI R.P., "Computer simulation of urban storm water runoff", Proc. A.S.C.E., J. Hydr. Div., Vol.97, No.HY2, pp 289–301, Feb. 1971.Google Scholar
  8. 8.
    EYKHOFF P., "System identification-parameter and state examination", John Wiley and Sons, London, 1974.Google Scholar
  9. 9.
    FALLSIDE F., and PERRY P.F., "Hierarchical optimisation of a water supply network", Proc. IEE, Vol. 122, No. 2., pp 202–208, Feb. 1975.Google Scholar
  10. 10.
    FALLSIDE F., PERRY P.F., and RICE P.D., "On-line prediction of consumption for water supply network control", Reprints 6th IFAC Congress, Boston, Massachusetts, Aug. 1975.Google Scholar
  11. 11.
    GOEL A.L., and LaGREGA M.D., "Stochastic models for forecasting sewage flows", Paper presented at 41st Natl. Meeting, Operations Res. Soc. Amer., New Orleans, 1972.Google Scholar
  12. 12.
    GUSTAVSSON I., "Parametric identification of multiple input, single output linear dynamic systems", Report 6907, Lund Inst. Techn., Div. Aut. Contr., 1969.Google Scholar
  13. 13.
    HARRIS G.S., "Real time routing of flood hydrographs in storm sewers", Proc. A.S.C.E., J. Hydr. Div., Vol.96, No.HY6, pp 1247–1260, June, 1970.Google Scholar
  14. 14.
    HOLST J., "The use of self-tuning predictors for forecasting the loading of a power system" (in Swedish), Report 7433C, Lund Inst. Techn., Div. Aut. Contr., 1974.Google Scholar
  15. 15.
    LABADIE J.W., GRIGG N.S., and BRADFORD B.H., "Automatic control of large-scale combined sewer systems", Proc. A.S.C.E., J. Env. Eng. Div., Vol. 101, No. EE1, pp. 27–39, Feb. 1975.Google Scholar
  16. 17.
    LaGREGA M.D., and KEENAN J.D., "Effects of equalising wastewater flows", J.W.P.C.F., Vol.46, No.1, p.p. 123–132, Jan. 1974.Google Scholar
  17. 18.
    OLSSON, G., DAHLQVIST K-I., EKLUND K., and ULMGREN L., "Control problems in wastewater treatment", Report, Axel Johnson Inst. for industr. Res., Nynäshamn, Sweden, 1973.Google Scholar
  18. 19.
    PAPADAKIS C.N., and PREUL H.C., "Testing of methods for determination of urban runoff", Proc. A.S.C.E., J. Hydr. Div., Vol.99 No. HY9, pp. 1319–1335, Sept. 1973.Google Scholar
  19. 20.
    PEW K.A., CALLERY R.L., BRANDSETTER A., and ANDERSON J.J., "Data acquisition and combined sewer controls in Cleveland", J.W.P.C.F., Vol.45, No.11, pp.2276–2289, Nov.1973.Google Scholar
  20. 21.
    WITTENMARK B., "A self-tuning regulator", Report 7311, Lund. Inst. Techn., Div. Aut. Contr., 1973.Google Scholar
  21. 22.
    WITTENMARK B., "A self-tuning predictor", I.E.E.E., Trans. Aut. Contr., Vol.AC-19 No.6, pp. 848–851, Dec. 1974.Google Scholar
  22. 23.
    YOUNG P.C., "Applying parameter estimation to dynamic systems — Part I", Control Engng., Vol.16, No.10, pp. 119–125, Oct.1969.Google Scholar
  23. 24.
    YOUNG P.C., "A recursive approach to time-series analysis", Bull Inst. Maths. Appl. (IMA), Vol.10, Nos.5/6, pp. 209–224, May/June, 1974.Google Scholar
  24. 25.
    YOUNG P.C., and BECK M.B., "The modelling and control of water quality in a river system", Automatica, Vol.10, No.5, pp. 455–468, Sept. 1974.Google Scholar

Copyright information

© Springer-Verlag 1976

Authors and Affiliations

  • M. B. Beck
    • 1
  1. 1.Control Engineering GroupUniversity Engineering DepartmentCambridge

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