This paper offers a comprehensive overview of machine learning (ML) methodologies and
algorithms, highlighting their practical applications in the critical domain of water resource …

To mitigate urban drainage network pressures and seek sustainable solutions, novel tools
like graph theory are presently being studied. This paper presents a systematic literature …

Stormwater urban drainage systems are historically designed to mitigate certain recurrence
interval flooding events. However, increases in impervious land cover due to urban …

Urban flood risk assessment plays a crucial role in disaster risk reduction and preparedness.
It is essential to mitigate flood risks and establish a comprehensive analysis of factors …

Recently, advanced informatics and sensing techniques show promise of enabling a new
generation of smart stormwater systems, where real-time sensors are deployed to detect …

This Editorial presents the paper collection of the Special Issue (SI) on Smart Urban Water
Networks. The number and topics of the papers in the SI confirms the growing interest of …

The construction of an efficient monitoring network is critical for the effective and safe
management of urban drainage systems. This study developed a re-clustering methodology …

As groundwater quality monitoring networks have been expanded over the last decades,
significant time series are now available. Therefore, a scientific effort is needed to explore …

This study introduces an innovative approach for leak detection in water distribution systems
(WDSs), integrating three-order embedding, k-means clustering, and long short-term …

Water level data from telemetry stations typically demonstrate diverse behaviors over time.
Specific characteristics can be observed among distinct station groups that are different from …