Innovations in Nutrient Removal and Resource Recovery Through Artificial Intelligence Techniques

Wastewater treatment is pivotal for environmental sustainability, particularly in managing nutrients like nitrogen and phosphorus to prevent ecological degradation. This manuscript explores the integration of artificial intelligence (AI) in advancing nutrient removal and resource recovery in wastewater treatment. Beginning with an overview of traditional methods and their limitations, the chapter emphasizes the transformative potential of AI technologies in optimizing processes and enhancing environmental outcomes. AI's predictive capabilities enable real-time monitoring and adaptive management, crucial for efficient nutrient removal and reducing environmental impact. Key applications include AI-driven dosing strategies in chemical treatment and adaptive control of biological processes. While AI offers significant benefits in improving treatment efficiency and resource recovery, challenges such as data quality and ethical considerations must be addressed to realize its full potential.