Use of data analytics to optimize water flow in complex distribution networks, identifying inefficiencies and leaks.

Abstract Water distribution networks are vital for urban infrastructure, agriculture, and industrial use. However, inefficiencies such as leaks, pressure imbalances, and unaccounted-for water losses result in significant wastage. Data analytics provides a powerful solution for optimizing water flow in complex distribution networks. By leveraging real-time sensor data, machine learning algorithms, and predictive analytics, water utilities can enhance operational efficiency, detect anomalies, and prevent water loss. This paper explores the role of data analytics in optimizing water distribution, the methodologies employed for leak detection, and the benefits of integrating smart technologies for sustainable water management.