Development of effluent removal prediction model efficiency in septic sludge treatment plant through clonal selection algorithm

• Main Authors: Ting S.C., Ismail A.R., Malek M.A.
• Other Authors: 56338030500
• Format: Article
• Published: Academic Press 2023
• Subjects: Artificial immune system; Chemical oxygen demand; Prediction; Septic sludge treatment plant; Total suspended solids; Algorithms; Biological Oxygen Demand Analysis; Bioreactors; Borneo; Environmental Monitoring; Malaysia; Models, Theoretical; Particulate Matter; Sewage; Waste Disposal, Fluid; Water Pollutants, Chemical; East Malaysia; Sarawak; Batch reactors; Effluent treatment; Forecasting; Immune system; Mean square error; Oxygen; Wastewater treatment; Artificial Immune System; Chemical-oxygen demands; Clonal selection algorithms; Prediction modelling; Reactor technology; Sequence batch reactors; Sludge treatment plants; algorithm; bioreactor; chemical oxygen demand; effluent; immune system; pollutant removal; sewage treatment; sludge; suspended load; article; clonal selection algorithm; forecasting; pattern recognition; plant model; prediction; septic sludge treatment plant; septic tank; sequencing batch reactor; sewage treatment plant; sludge dewatering; sludge treatment; suspended particulate matter; waste water; Effluents

This study aims at developing a novel effluent removal management tool for septic sludge treatment plants (SSTP) using a clonal selection algorithm (CSA). The proposed CSA articulates the idea of utilizing an artificial immune system (AIS) to identify the behaviour of the SSTP, that is, using a sequ...