Efficient leakage monitoring through remote sensing of water parameters in water distribution network of Nestos Area, Greece

Effective management of water distribution networks is necessary, particularly in regions that are experiencing climate stress. Water losses in Chrysoupoli, Northern Greece, can amount to 62% because of deteriorating infrastructure and seasonal variations in demand. 22 Internet of Things (IoT)-enabled Local Monitoring Stations (LMS) that measure flow, pressure, and water quality are used in this study's integrated remote sensing strategy for leakage monitoring. The STAGON platform receives real-time data transmissions via SCADA. Dynamic simulation, anomaly detection, and improved leak response are all supported by a digital twin created with MIKE+. Accuracy, speed, and cost-efficiency are greatly increased when automated leak detection is combined with remote sensing, providing a scalable solution for Smart Water Governance.