Artificial Intelligence in Water Treatments and Water Resource Assessments

Abstract

This chapter explores the use of AI in water treatment, evaporation management, and water resource management. It begins with an introduction, highlighting AI's motivation and objectives. The chapter then discusses AI applications, challenges, and opportunities in their implementation. It compares traditional approaches and AI-driven solutions for evaporation control and optimization and presents case studies and applications to demonstrate real-world examples. The chapter also discusses water resource management challenges, data-driven modeling, forecasting, optimization, and decision support systems. It also discusses the benefits and limitations of AI, interdisciplinary collaboration, ethical considerations, and policy frameworks for responsible AI implementation. The chapter also provides recommendations for future research to advance AI in water treatment and resource management.