Modeling Of Two-stage Anaerobic Onsite Wastewater Sanitation System To Predict Effluent Soluble Chemical Oxygen Demand Through Machine Learning

This article discusses the development of machine learning models for forecasting effluent SCOD of domestic wastewater after treatment using a two-stage anaerobic onsite sanitation system. The models were tested using data collected from a laboratory scale reactor and showed promising results. The system consisted of a modified septic tank and an anaerobic filter, and was able to effectively treat domestic wastewater. The study also looked at the effects of different operating conditions on the system’s efficiency.