AI and Big Data in Future Water Resources

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 (30 December 2022) | Viewed by 333

Special Issue Editors


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Guest Editor
School of Civil & Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China
Interests: artificial intelligence and water engineering applications; optimal allocation of urban water resources; disaster prevention and mitigation of urban waterlogging; optimal design and safe operation of urban water distribution networks
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Institute for Water and Environmental Problems, Siberian Branch, Russian Academy of Sciences, 656038 Barnaul, Russia
Interests: ecological engineering; water science; environmental engineering

Special Issue Information

Dear Colleagues,

The problem of water resources scarcity is still challenging due to human activities and climate change. Massive water infrastructures such as reservoir and inter-basin water transfer have been built to tackle the temporal-spatial differences of water resources across the world. However, understanding how to operate these complex systems using traditional approaches still represents a research gap. Innovations in information and communications technology (ICT) have advanced the resources issues to be solved. Monitoring, data analytics, and artificial intelligence are promising technologies in engineering planning, design, operation, and maintenance management. The innovative technologies could lower capital and operational costs, secure infrastructure operation, and mitigate greenhouse gas emission. Therefore, infrastructure sustainability and the efficient utilization of water resources can be realized in this field of study.

For this Special Issue we welcome papers on big data and AI applications to water supply systems, water transfer systems, reservoirs, etc. The scope is a cross/multi-discipline view of ICT and water engineering. The Special Issue proposed will provide valuable information to the readership of Water.

Prof. Dr. Haixing Liu
Prof. Dr. Aleksandr Tskhai
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

  • water resources
  • water supply systems
  • water transfer
  • artificial intelligence
  • big data
  • reservoir operation
  • pump and valve operation
  • machine learning
  • time series data
  • optimization

Published Papers

There is no accepted submissions to this special issue at this moment.
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