Optimal sensor placement for the routine monitoring of urban drainage systems: A re-clustering method

S Wang, X Zhang, J Wang, T Tao, K Xin, H Yan… - Journal of Environmental …, 2023 - Elsevier
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 …

Grouping water-demand nodes by similarity among flow paths in water-distribution systems

T Qin, DL Boccelli - Journal of Water Resources Planning and …, 2017 - ascelibrary.org
The identification of monitoring or sensor locations, or demand estimation, within drinking
water distribution systems can be challenging given the size of realistic network models …

Water distribution nodal demand clustering based on network flow measurements

PJA de Oliveira, DL Boccelli - Journal of Water Resources Planning …, 2021 - ascelibrary.org
The estimation of nodal water demands for water distribution systems has been extensively
researched over the last decades. However, demand estimation performance is dependent …

[PDF][PDF] Multi-objective sensor network placement model for integrated monitoring of hydraulic and water quality parameters

A Preis, A Whittle, A Ostfeld - World City Water Forum, WCWF, 2009 - Citeseer
Near real-time continuous monitoring systems have been proposed as a promising
approach for helping drinking water utilities detect and respond quickly to threats related to …

Exploring the potential of utilizing unsupervised machine learning for urban drainage sensor placement under future rainfall uncertainty

J Li - Journal of Environmental Management, 2021 - Elsevier
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 …

Research on sensor placement for disaster prevention in water distribution networks for important users

J Wu, D Ma, W Wang, Z Han - Sustainability, 2020 - mdpi.com
Sensor placement for disaster prevention for important users in urban water distribution
networks is essential for post-earthquake monitoring and repair. Herein, we proposed a …

A K-Sensor correlation-based evolutionary optimization algorithm to cluster contamination events and place sensors in water distribution systems

MAK Fasaee, S Monghasemi, MR Nikoo… - Journal of Cleaner …, 2021 - Elsevier
Contaminants that are introduced to drinking water systems can threaten large populations,
and the potential for catastrophic consequences accentuates the need for efficient post …

Drinking water distribution system network clustering using self-organizing map for real-time demand estimation

SMM Rana, DL Boccelli, A Marchi… - Journal of Water …, 2020 - ascelibrary.org
Consumer demand estimation is a key step in real-time drinking water system (DWS)
modeling used for demand forecasting, optimal operations, and water quality management …

Analyzing multi-variate water quality signals for water quality monitoring station placement in water distribution systems

N Sankary, A Ostfeld - Journal of Hydroinformatics, 2018 - iwaponline.com
Placing fixed water quality monitoring stations in a water distribution system can greatly
improve the security of the system via prompt detection of poor water quality. In the event …

Sensor partitioning placements via random walk and water quality and leakage detection models within water distribution systems

T Mu, M Huang, S Tang, R Zhang, G Chen… - Water Resources …, 2022 - Springer
A novel sensor partitioning placement model is presented to evenly distribute sensors to
water distribution systems (WDS) for monitoring leakages and contamination. First, random …