Environmental Science: Water Research & Technology seeks your high-impact research for our upcoming Themed Issue on Data-intensive water systems management and Operation
Guest Edited by Branko Kerkez (University of Michigan, USA), Kris Villez (Oak Ridge National Laboratory, USA) and Eveline Volcke (Ghent University, Belgium)
The water sector increasingly looks at intensified instrumentation, data collection and automation as tools for daily use. Still, a massive opportunity remains in fully embracing emerging methods and technologies such as artificial intelligence, data analytics, machine learning, low-cost sensor hardware, and edge and cloud computing. Indeed, sensing and automation technology has already infiltrated many facets of society today. As such, the time is ripe to evaluate the role of novel technologies for systems monitoring, diagnostics, and automation of aquatic processes and large-scale water systems. When leveraged, the water sector will do more with less.
In this special issue we seek to publish articles that report a significant advance in the theory, understanding, practice or application of emerging techniques and
technologies, including:
- Instrumentation, including state-of-the-art sensors and novel sensor concepts
- Data analytics and machine learning
- Low-cost and energy-efficient hardware for computation, and automation
- Advances in decision support systems
- Real-time monitoring and control
- Autonomy & Automation
- Privacy and cybersecurity
- Integration of data-intensive techniques, such as scale, model-based tools for
real-time operation and management
The reported studies should be rooted in applications across aquatic science and engineering, including but not limited to:
- Chemical and microbial contaminants
- Water distribution and wastewater collection
- Stormwater infrastructure, green and gray
- Potable reuse
- Residue management
- Watersheds
All submitted manuscripts will undergo initial assessment and peer review as per the usual standards of the journal. Please quote “EWData21” in the “Comments to the Editor” section during the submission process.
Submissions due: 10th September 2021
Submit your work now: https://mc.manuscriptcentral.com/esw
