Advanced acoustic methods for leak detection and localization in aging water distribution networks

This research project addresses the critical need for improved leak detection, localization, and monitoring in aging water distribution networks (WDNs), particularly in megacities like London, Paris, and Rome. These networks face significant challenges due to environmental degradation and aging infrastructure, resulting in frequent leaks that cause water wastage and infrastructure damage. Current acoustic leak detection methods are labor-intensive and prone to errors, relying heavily on human expertise, which limits their efficiency.The project aims to go beyond the state-of-the-art by investigating the fundamental mechanisms of leak signal generation in water pipes. By integrating experimental studies, computational fluid dynamics simulations, and theoretical modeling, the research will provide a comprehensive understanding of how leak signals are affected by factors such as pipe properties, soil conditions, and leak characteristics. This knowledge will be used to develop advanced algorithms for leak identification and localization, improving accuracy by filtering out background noise and enhancing time delay estimation.Furthermore, the project will propose a real-time monitoring strategy for WDNs, enabling proactive leak management and improving water infrastructure sustainability. The interdisciplinary approach combines acoustic and vibration analysis, signal processing, and infrastructure engineering, with collaboration from international academic partners.The expected outcomes include a universal leak detection model applicable to diverse WDNs, and the development of scalable solutions that can extend to industries such as gas, hydrogen, and oil. This project promises significant contributions to both water conservation and sustainable urban infrastructure.