Contaminants in Water Systems: Intelligent Recognition, Detection and Analytical Methods
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 54
Special Issue Editors
Interests: water enivorment monitoring; optical sensing; artificial intelligence; three-dimensional fluorescence
Interests: smart perception and advanced sensing; environmental monitoring and early warning; robotics and unmanned systems
Interests: detection technology and automation equipment; process detection and information processing; complex fluid monitoring; flow field imaging; machine learning
Special Issue Information
Dear Colleagues,
Water is essential for all known forms of life, and its quality is vital for human health, agricultural productivity and ecological balance. However, water systems worldwide are increasingly becoming contaminated by various pollutants, posing significant risks to public health and the environment. To address these challenges, intelligent recognition, detection and analytical methods are being developed and deployed to monitor and manage water systems effectively.
This Special Issue seeks high-quality works focusing on advanced techniques for identifying and quantifying pollutants, innovative detection methodologies and analytical strategies that leverage intelligent systems for monitoring and mitigating contaminants in various water sources.
Topics include, but are not limited to, the following:
- Development and application of novel sensors for contaminant detection in water systems;
- Intelligent algorithms and machine learning models for the real-time monitoring and prediction of water quality;
- Analytical methods for the identification and quantification of emerging contaminants;
- Integration of IoT (Internet of Things) technologies in water quality management;
- Advances in spectroscopic and chromatographic techniques for water analysis;
- Case studies on the implementation of intelligent systems in municipal and industrial water treatment;
- Data-driven approaches for assessing the impact of contaminants on public health and ecosystems;
- Remote sensing technologies for large-scale water quality monitoring;
- Innovations in portable and field-deployable detection devices for rapid contaminant assessment
Dr. Jie Yu
Prof. Dr. Dibo Hou
Dr. Xiaoyu Tang
Guest Editors
Dr. Ke Wang
Guest Editor Assistant
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. Processes is an international peer-reviewed open access monthly 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 2400 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 contaminant recognition
- analytical techniques
- water quality monitoring
- machine learning
- IoT in water management
- spectroscopy and chromatography
- emerging pollutants
- remote sensing
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.
