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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/59164 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/59164 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/59164 archive 351 disk0/00/00/15/74 2016-01-15 01:49:19 2021-08-27 17:10:13 2016-01-15 01:49:19 monograph show 2 Beck M.B. 562 pub iis_wat prog_ren This report examines the feasibility and discusses the potential of applications of on-line real-time state estimation and prediction in operational control of the activated sludge process. In particular, the dynamics of nitrification are considered with reference to the activated sludge unit at the Norwich Sewage Works in eastern England. A recursive estimation algorithm, the extended Kalman filter, is applied both for reconstructing operating information on the variations in nitrifying bacterial population concentrations and for making predictions of process performance under assumed scenarios for the short-term future operating conditions of the plant. Time-series field data from the Norwich Works are used for the former analysis. Considerations of uncertainty and the possibility of rapid major perturbations in performance, for example, due to spillage of toxic substances or the loss of solids over the clarifier weir, are of special importance to the discussion. The report is introduced and concluded with some more general comments on the roles of operator experience and decision-making and man-machine interaction in wastewater treatment plant control. 1981 published RR-82-007. Reprinted from Water Research, 15 [1981] RP-82-007 10 2986 public research_reprint Water Research 15 IIASA, Laxenburg, Austria 21 TRUE FALSE info:eu-repo/semantics/book