Advances in the Monitoring, Diagnosis, and Optimisation of Water Systems

Edited by
November 2023
252 pages
  • ISBN978-3-0365-9594-8 (Hardback)
  • ISBN978-3-0365-9595-5 (PDF)

This book is a reprint of the Special Issue Advances in the Monitoring, Diagnosis, and Optimisation of Water Systems that was published in

Chemistry & Materials Science
Environmental & Earth Sciences

This Special Issue is committed to focusing on highly relevant state-of-the-art advances in the monitoring, diagnosis, and optimisation of water systems, aiming to provide a broad spectrum of reference methods and techniques specially focused on water cycle applications, including fault detection (namely, leak localisation to reduce the loss of water due to leaks, which may account for up to 65 % of the total water depending on the network) or water quality modelling in Water Distribution Networks (WDNs), as well as different methodologies applied to water sanitation. Here, there is growing interest in the adaptation and use of technologies related to the circular economy that promote environmental sustainability, in which resource recovery is a key issue for industrial and environmental processes and shows a wide spectrum of study possibilities, especially in wastewater treatment plants (WWTPs). This is mainly related to sludge treatment processes such as biogas generation via the substrate co-digestion process, which can be an alternative source for thermal and electrical energy production, as well as a source of renewable natural gas. Hence, all the contributions in this Special Issue have an impact on the advances in the monitoring, diagnosis and optimisation of water systems and, overall, cover a wide and complete sector of knowledge within this area.

  • Hardback
© by the authors
control design; industrial control; transfer learning; WWTP; electromagnetic induction; soil moisture; precision agriculture; low cost; water management; Internet of Things (IoT); wireless sensor network; closed depressions; temporary water bodies; remote sensing; infiltration; water distribution networks; leak localization; data-driven; fault diagnosis; pipelines; multiple leaks; numerical differentiation; experimental results; water quality monitoring; data pre-processing; improved IBES-LSSVM algorithm; interval prediction method; sensor placement; pressure monitoring; information theory; leak localization; water distribution network; anaerobic co-digestion; ant colony optimisation; particle swarm optimisation; genetic algorithms; waste management; circular economy; surface water; water body detection; surface water extraction; water quality monitoring; remote sensing; artificial intelligence; computer vision; machine learning; deep learning; convolutional neural networks; chlorine; water distribution networks; modelling; supervision; decay model; economic model predictive control; linear parameter varying modelling; wastewater treatment process; n/a