Looking into the Future of Smart Water Management through Artificial Intelligence
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "New Sensors, New Technologies and Machine Learning in Water Sciences".
Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 7258
Special Issue Editors
Interests: water; remote sensing; GIS; groundwater modeling; water resource engineering
Special Issues, Collections and Topics in MDPI journals
Interests: condensed matter physics; oxide electronics; spintronics
Special Issues, Collections and Topics in MDPI journals
Interests: soil and groundwater pollution; fate and transport of napls; multiphase flow; remediation, restoration, and management of polluted sites; soil microbiome; wetland hydrology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Human habitation has always depended on a reliable supply of safe drinking water. We are always seeking solutions that will assure reliable access to clean drinking water as the world population grows and the security of our freshwater supplies deteriorates. Artificial Intelligence (AI) in cleantech has a lot of potential for water quality management. This special issue is to publish contributions on AI methodologies for Smart Water Management Systems.
The AI-based Smart Water Management System explains how to employ cutting-edge Information and communication technologies to practice the tapping water-saving habit at home. The AI system will monitor and manage water flow from the above tank to multiple service areas such as the cooking area, washroom, clothes washing, and gardening in the residence. Water is polluted with effluent or other corrosive pollutants in many regions, seeking to make treatment of wastewater a critical component for a sustainable future. AI systems can predict the configuration of pollutants from water and improve the water recovery plant's quality. The groundwater quality can be monitored regularly, and data on the purity can be obtained using computer vision and big data. Water managers and government entities can utilize AI to create a smart water system that can provide efficient water facilities and adapt to changing conditions. These technologies will be cost-effective and long-lasting, allowing for optimizing all water management solutions and predicting possible damage. The provision of detectors in residence, connected to devices or smartphones and machines via a Wi-Fi system, allows massive data collection. Which can be used for both advantage of the individual consumer and, more importantly, for the benefit of the technical director, enabling responsible consumption administration, plant and channel upkeep, and operating parameters in various time bands.
Water resource management is also critical for maintaining biodiversity, characterized by a high level of complexity, as evidenced by many species of plants and animals and the environmental factors that our region records. Natural and man-made risks, on the other hand, affect ecosystems at various scales and complexities, creating modifications and shifts in their stability and lowering their effectiveness and adaptability. This must be examined to assist the next generation economic system and government entities in resolving the water demand crisis. One of the important goals of water management either now or in the future is to improve information and intelligence capabilities. This Special Issue seeks contributions that provide cutting-edge knowledge and uses of artificial intelligence and other computing infrastructure for smart water management.
Dr. Padam Jee Omar
Dr. Ganesh Ji Omar
Dr. Pankaj Kumar Gupta
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- AI
- ML
- big data analytics
- water quality
- smart water management
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.