wcm.02.2025.281.291

This article delves into the transformative role of artificial intelligence (AI) in revolutionizing water station management and highlights the diverse applications, such as monitoring water quality, optimizing supply networks, and enabling predictive maintenance, all of which contribute to sustainable water resource management. Advanced technologies like machine learning and data analytics are explored as tools to address the multifaceted challenges of water resource management, including resource allocation, contamination detection, and system efficiency. The article emphasizes the benefits of integrating AI into water management practices, showcasing examples from current literature and case studies that illustrate successful implementations. It also provides a critical perspective on the challenges and limitations that accompany AI adoption, such as the high costs of implementation, the complexity of achieving data interoperability, and the demand for skilled professionals to manage and operate AI systems. By examining these aspects, the article underscores the potential of AI to enhance the efficiency, reliability, and sustainability of water infrastructure. Additionally, it states that ongoing investment in AI technologies and collaborative research can overcome existing barriers, leading to more resilient water management systems. Ultimately, this study advocates for leveraging AI to ensure the equitable and efficient delivery of clean water to communities worldwide.