Water Pollution Monitoring, Modelling and Management
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Quality and Contamination".
Deadline for manuscript submissions: closed (20 March 2024) | Viewed by 607
Special Issue Editors
2. College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha, China
Interests: water pollution control; emerging organic pollutants; adsorption; catalysis; resource utilization
Interests: resource; environmental waste; high value utilization; environmental management; life cycle; water pollution control; emerging organic pollutants; environmental assessment; ecological restoration; adsorption; catalysis; water pollution; heavy metal
Special Issue Information
Dear Colleagues,
The frequency of water pollution incidents and their accompanying hazards have generated new requirements for the emergency capacity construction of governments. Therefore, management departments and environmental experts are committed to developing novel water pollution monitoring and early warning response technologies to ensure water quality safety. With the development of big data, artificial intelligence, and environmental monitoring technology, the current water monitoring infrastructure is becoming increasingly sound, and the accumulation of monitoring data is becoming increasingly rich. The conditions for achieving intelligent monitoring and early warning supported by big data are mature. Under the monitoring of the sudden pollution monitoring–early warning–tracing technology system, conducting key technology research such as sudden pollution abnormal warning, optimizing the layout of emergency monitoring sections, and initiating the identification and risk analysis of emergency response projects is a hot issue and an urgent direction for intelligent monitoring and warning regarding water pollution. This Special Issue aims to evaluate and analyze the latest research progress in water pollution monitoring and early warning, modeling and management, and prevention and control, particularly water pollution monitoring, modeling and management based on big data and artificial intelligence.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Water pollution monitoring technology;
- Water quality prediction model;
- Water resource management;
- Water pollution prevention and control.
Dr. Rongkui Su
Guest Editor
Dr. Yiting Luo
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. 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 pollution
- monitoring technology
- intelligent warning
- water quality model
- artificial intelligence
- pollution prevention and control
- water resource management
- wastewater resource utilization
