This chapters in this book highlight the breadth of smart water technologies and applications. From the use of classical machine learning and data transformation methods for process improvement, to data management and assimilation in models for better monitoring control, a selection of these chapters describes the acquisition and preparation of data as an initial step in its use as part of a digital framework for smart water applications. Importantly, several chapters examine the use of smart tools and contemporary AI technologies, such as neural networks and Internet of Things, that demonstrate value in non-conventional or remote environments. This collection demonstrates the innovation possible through the entire ‘pipeline’ of the process of applying smart water techniques, from data measurement and collection, through initial analysis to the application of machine learning and AI techniques and finally through to system deployment. Each of these steps plays an important role in the application of data science and AI techniques to water problems.
Collectively, the book showcases the innovation required to leverage modern data science and AI approaches in the water sector and collectively point the way towards a future of new measurement techniques, innovative methodologies, and intuitive human interaction to truly ‘Make Water Smart’.
In Focus – a book series that showcases the latest accomplishments in water research. Each book focuses on a specialist area with papers from top experts in the field. It aims to be a vehicle for in-depth understanding and inspire further conversations in the sector.
A critical review of the data pipeline: how wastewater system operation flows from data to intelligence
Jean-David Therrien, Niels Nicolaï and Peter A. Vanrolleghem
A comprehensive review of deep learning applications in hydrology and water resources
Muhammed Sit, Bekir Z. Demiray, Zhongrun Xiang, Gregory J. Ewing, Yusuf Sermet and Ibrahim Demir
Performance improvement of wastewater treatment processes by application of machine learning
O. Icke, D. M. van Es, M. F. de Koning, J. J. G. Wuister, J. Ng, K. M. Phua, Y. K. K. Koh, W. J. Chan and G. Tao
Data analytics in control and operation of municipal wastewater treatment plants: qualitative analysis of needs and barriers
S. Eerikäinen, H. Haimi, A. Mikola and R. Vahala
Making urban water smart: the SMART-WATER solution
Gerasimos Antzoulatos, Christos Mourtzios, Panagiota Stournara, Ioannis-Omiros Kouloglou, Nikolaos Papadimitriou, Dimitrios Spyrou, Alexandros Mentes, Efstathios Nikolaidis, Anastasios Karakostas, Dimitrios Kourtesis, Stefanos Vrochidis and Ioannis Kompatsiaris
Fault detection and diagnosis in water resource recovery facilities using incremental PCA
Pezhman Kazemi, Jaume Giralt, Christophe Bengoa, Armin Masoumian and Jean-Philippe Steyer
Use of real-time sensors for compliance monitoring of nitrate in finished drinking water
Christopher S. Jones, Tianyi Li, Alex Sukalski, Darrin A. Thompson and David M. Cwiertny
Data integration for infrastructure asset management in small to medium-sized water utilities
N. Carriço, B. Ferreira, R. Barreira, A. Antunes, C. Grueau, A. Mendes, D. Covas, L. Monteiro, J. Santos and I. S. Brito
Multi-objective optimization of energy and greenhouse gas emissions in water pumping and treatment
Iliana Cardenes, Afreen Siddiqi, Mohammad Mortazavi Naeini, Jim W. Hall
Development of a biogas distribution model for a wastewater treatment plant: a mixed integer linear programming approach
Harry Laing, Chris O'Malley, Anthony Browne, Tony Rutherford, Tony Baines, Mark J. Willis
Predicting failures in electronic water taps in rural sub-Saharan African communities: an LSTM-based approach
N. M. Offiong, Y. Wu, F. A. Memon
Experiments of an IoT-based wireless sensor network for flood monitoring in Colima, Mexico
O. Mendoza-Cano, R. Aquino-Santos, J. López-de la Cruz, R. M. Edwards, A. Khouakhi, I. Pattison, V. Rangel-Licea, E. Castellanos-Berjan, M. A. Martinez-Preciado, P. Rincón-Avalos, P. Lepper, A. Gutiérrez-Gómez, J. M. Uribe-Ramos, J. Ibarreche and I. Perez
Capturing high-resolution water demand data in commercial buildings
Peter Melville-Shreeve, Sarah Cotterill and David Butler
A feasibility study of uninhabited aircraft systems for rapid and cost-effective plant stress monitoring at green stormwater infrastructure facilities
Kery Prettyman, Meghna Babbar-Sebens, Christopher E. Parrish and Jeremy Matthew Babbar-Sebens
Data assimilation in hydrodynamic models for system-wide soft sensing and sensor validation for urban drainage tunnels
Rocco Palmitessa, Peter Steen Mikkelsen, Adrian W. K. Law and Morten Borup
Taking water efficiency to the next level: digital tools to reduce non-revenue water
J. Cassidy, B. Barbosa, M. Damião, P. Ramalho, A. Ganhão, A. Santos and J. Feliciano
An ethical decision-making framework with serious gaming: a smart water case study on flooding
Gregory Ewing and Ibrahim Demir
Interactive decision support methodology for near real-time response to failure events in a water distribution network
E. Nikoloudi, M. Romano, F. A. Memon and Z. Kapelan
Control theory-based data assimilation for hydraulic models as a decision support tool for hydropower systems: sequential, multi-metric tuning of the controllers
Miloš Milašinović, Dušan Prodanović , Budo Zindović , Boban Stojanović and Nikola Milivojević
Visualisation of the combinatorial effects within evolutionary algorithms: the compass plot
Qi Wang, Miaoting Guan, Wen Huang, Libing Wang, Zhihong Wang, Shuming Liu and Dragan Savić
Flood mitigation in coastal urban catchments using real-time stormwater infrastructure control and reinforcement learning
Benjamin D. Bowes, Arash Tavakoli, Cheng Wang, Arsalan Heydarian, Madhur Behl, Peter A. Beling and Jonathan L. Goodall
Water is the primary medium through which climate change influences the earth's ecosystem and thus people's livelihoods and well-being. Globally, 83% of all disasters have been caused by extreme...
This book focuses on climate change and hydrological extremes, i.e. droughts and floods, which are globally important natural hazards with associated costly impacts on society and the environment...
The global water and sanitation community is currently wrestling with the policy implications of two important realizations. The first is that it is quite possible for cities to actually run out...
This book highlights the impacts of emerging pollutants (both organic and inorganic) in water bodies and the role and performances of different water and wastewater treatment approaches that are...
Adequate wastewater treatment in low to medium income cities worldwide has largely been a failure despite decades of funding. The still dominant end-of-pipe paradigm of treatment for surface water...
This book is the product of a worldwide collaboration among UN water resources programs, prominent national water resources operating agencies and selected academic specialists. It deals directly...
Water Resilience in Practice is co-edited by two experienced water sector professionals and reviews resilience in water supply service delivery. This will be in the form of a series of case...
Flood Risk and Social Justice is a response to the rising significance of floods and flood-related disasters worldwide, as an initiative to promote a socially just approach to...