This paper provides a comprehensive review of the methods and techniques developed for
detecting leaks in water distribution systems, with a focus on highlighting their strengths …

Localizing pipe leaks is a significant challenge for water utilities worldwide. Pipe leaks in
water distribution systems (WDSs) can cause the loss of a large amount of treated water …

Localizing leakages in large water distribution systems is an important and ever-present
problem. Due to the complexity originating from water pipeline networks, too few sensors …

This study introduces a novel sampling design (SD) method for hybrid Machine
Learning/Transient-Based (ML/TB) leak detection of pipe networks. The proposed technique …

Water pipe failures result in real water losses in the form of water outflowing into the porous
medium, such as the surrounding soil. Such an outflow may result in the creation of suffosion …

Real-time leakage detection based on pressure and flow data has become increasingly
essential for water distribution systems (WDSs). Recent data-driven leakage detection …

In this paper, a Random Forest classifier was used to predict leak locations for two differently
sized water distribution networks based on pressure sensor measurements. The prediction …

Drinking water demand modelling and forecasting is a crucial task for sustainable
management and planning of water supply systems. Despite many short-term investigations …

Aiming at the problem of detecting and locating the leakage position of urban pipelines, an
underwater navigation and positioning method combining the jet link inertial navigation …

Leak localization in water distribution networks (WDNs) is essential to water management
systems. Developing a reliable and robust leak localization technique is crucial for reducing …