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Application of Artificial Intelligence (AI) in Water Quality Monitoring, 2nd Edition

Special Issue Information

Dear Colleagues,

Water quality monitoring is a key step in ensuring the sustainable utilization, security, and aquatic ecological environment of water resources. By monitoring water quality, pollutants, bacteria, and other harmful substances in water bodies can be detected and identified early on, and corresponding measures can be taken to protect public health and ecosystems. Water quality monitoring also helps in assessing the sustainability of water resources and guiding rational water resource management and decision making. The rapidly developing artificial intelligence technology of recent years possesses real-time monitoring capabilities, big data analysis and pattern recognition capabilities, intelligent decision making capabilities, and data integration and joint analysis capabilities. These qualities can overcome some of the challenges faced by traditional water quality monitoring methods, make up for the limitations of traditional methods, and have great application prospects in water quality monitoring.

This Special Issue is interdisciplinary and encourages methodological pluralism. We welcome research-based manuscript submissions from scholars and practitioners working in water quality monitoring, information sciences, environmental sciences, ecology, and water policy studies.

Prof. Dr. Tianhong Li
Guest Editor

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 quality monitoring
  • artificial intelligence
  • deep learning
  • machine learning
  • precise regulation
  • intelligent recognition
  • predictive warning
  • real-time monitoring
  • model optimization

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Published Papers