Wastewater treatment plants (WWTPs) play a crucial role in environmental protection by mitigating risks to public health and aquatic ecosystems through the prevention of pollutant release. Accurately predicting effluent quality, especially levels of ammonia nitrogen (NH3) and chemical oxygen demand (COD), is essential for ensuring water safety and enhancing the efficiency of WWTPs. Despite advances in data-driven methods, persistent challenges arise from the complexity of wastewater data.
Brain-inspired model enhances wastewater treatment predictions
