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Special Issue on

Exploring the Rise of AI-Based Smart Water Management Systems




Data-driven smart applications for water system management enable better governance and operational implementation, as well as improving potential public participation. Despite the use of significant computational techniques by water systems, the water industry is under-performing behind other sectors in terms of the digital revolution. This digitization transformation could help smart water systems expand their operations. Water utilities could exploit the potential of artificial intelligence technology to make better informed decisions, improve the delivery of services and lower costs.

Artificial Intelligence (AI) is an area of research and development that deals with computer intelligence simulations. AI and computer vision are primarily applied to decision-making activities to provide an adequate supply of water. Specifically, water systems can maximize data and information to make better decisions to improve the delivery of services, optimize investment capital, and lower operational expenses, such as environmental implications. Water utilities are often joining the ranks of other industries, particularly energy, without fully comprehending the principles and consequences of incorporating information and communications technology (ICT) in their management. IoT devices may be used to measure the Potential of Hydrogen (PH) and Total Dissolved Solids (TDS) contribution of different water types using AI-based Arduino programming language. An artificial intelligence-based leak detection approach employs hydrophone technology sensors to measure even minor leaks in water pipes via noise. Additionally, through utilizing ground and light sensors, AI development solutions for water supply systems can properly estimate the amount of water and fertilizers necessary in particular fields. By recognising microorganisms, AI can improve present systems. This technology is superior to the current way of identifying possibly hazardous microbes using biochemical chips.

We are pleased to invite you to submit a manuscript to AQUA for peer review and possible publication in a Special Issue entitled 'Exploring the Rise of AI-Based Smart Water Management Systems'.


Relevant topics include:

  • Disruptive Technologies for Smart Water Solutions;
  • Integration of ML and AI for Smart Water Management Systems;
  • Effective mechanisms for IoT Sensor enabled Water Monitoring Systems;
  • New Directions in Early Warning Water Management Systems;
  • Novel Architectures of Smart Water Systems: A Step Forward;
  • Contaminants Removal from Water Storage systems: Trends and Future Challenges;
  • Future Challenges and Perspective of AI-enabled Water Utilization Systems;
  • New Technologies for Sustainable Water Management Sectors;
  • Harnessing Big Data for Water Utilities Management: Implications for the Future;
  • Difficulties and Obstacles on AI-based Water Management Systems: Future Solutions;
  • New Trends and Innovations in Wastewater Treatment Systems: Machine Learning Based Techniques.


Key dates:

Deadline for manuscript submission: December 15th 2022.

Expected publication: May 15th 2023. Accepted papers will be published online as soon as possible after acceptance.


Guest Editors:

- Dr. Padam Jee Omar, Department of Civil Engineering, Indian Institute of Technology, (Banaras Hindu University, Varanasi), India

- Dr. Qi Wang, School of Civil and Transportation Engineering, Guangdong University of Technology, China

- Dr. Pankaj Kumar Gupta, Department of Geography and Environmental Management, Faculty of Environment, University of Waterloo, Canada  


How to submit:

Please make sure that your paper follows the Instructions to Authors of the journal, before submitting your paper directly to AQUA’s peer review system. Then choose the article type – ‘Special Issue Article OA’ and the submission category – ‘Special Issue: AI-Based Water Management Systems’. This will send your paper to one of the Guest Editors.

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