Dear Colleagues,
The editorial team would like to congratulate the winners of the Water 2022 Best Paper Award, who were chosen by a selection committee chaired by the Editor-in-Chief, Dr. Jean-Luc PROBST. Following a review process by the Award Evaluation Committee, four winners were selected.
The First Prize: CHF 800, an electronic certificate, and a chance to publish a paper free of charge in Water in 2024
Article:
New Challenges towards Smart Systems’ Efficiency by Digital Twin in Water Distribution Networks
By Helena M. Ramos, Maria Cristina Morani, Armando Carravetta, Oreste Fecarrotta, Kemi Adeyeye, P. Amparo López-Jiménez and Modesto Pérez-Sánchez
Water 2022, 14(8), 1304; doi:10.3390/w14081304
Review:
A Review on Machine Learning, Artificial Intelligence, and Smart Technology in Water Treatment and Monitoring
By Matthew Lowe, Ruwen Qin and Xinwei Mao
Water 2022, 14(9), 1384; doi:10.3390/w14091384
The Second Prize: CHF 500, an electronic certificate, and a chance to publish a paper free of charge in Water in 2024
Article:
A Hybrid Model for Water Quality Prediction Based on an Artificial Neural Network, Wavelet Transform, and Long Short-Term Memory
By Junhao Wu and Zhaocai Wang
Water 2022, 14(4), 610; doi:10.3390/w14040610
Review:
Groundwater Level Modeling with Machine Learning: A Systematic Review and Meta-Analysis
By Arman Ahmadi, Mohammadali Olyaei, Zahra Heydari, Mohammad Emami, Amin Zeynolabedin, Arash Ghomlaghi, Andre Daccache, Graham E. Fogg and Mojtaba Sadegh
Water 2022, 14(6), 949; doi:10.3390/w14060949
Please join us in congratulating the winners of Water 2022 Best Paper Award. We would also like to take this opportunity to thank all of our authors for their continued support of Water.
Kind regards,
Water Editorial Office
Eligibility and Requirements
In accordance with the rapid proliferation of machine learning (ML) and data management, ML applications have evolved to encompass all engineering disciplines. Owing to the importance of the world’s water supply throughout the rest of this cent...
With the continuous expansion of industrial enterprises, a large amount of high-salt wastewater with complex components is produced. Direct discharge will cause great harm to the ecosystem and waste a large amount of potential salt resources. This pa...
This paper presents an innovative digital twin dam and watershed management platform, K-Twin SJ, that utilizes real-time data and simulation models to support decision-making for flood response and water resource management. The platform includes a G...
Despite being relatively rare, Mediterranean tropical-like cyclones, also known as Medicanes, induce significant impacts on coastal Mediterranean areas. Under climate change, it is possible that these effects will increase in frequency and severity....
Jean-luc Probst
Fernando António Leal Pacheco
Christos Akratos
Hucai Zhang
Cristiana Di Cristo
Qiting ZuoGet Alerted
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