Abstract
This review paper deals with the previous and current wastewater treatment plant modelling. The future of semantic modelling in a wastewater treatment plant through a new approach, Artificial Immune Systems (AIS), is introduced. AIS is still in the infant stage of soft computing. However, it has gained its popularity in the recent years, especially in prediction modelling. The first dynamic model of the activated sludge system was developed in the 1970s, and has been further developed since then. The process of a wastewater treatment is very complex, non-linear and characterised by many uncertainties within the influent parameters. The operation of a wastewater treatment process is limited because it is affected by variety of physical, chemical, and biological factors. A review of the wastewater modelling development was presented. The models' limitations were identified and a new technique in wastewater treatment plant is finally discussed.
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