Water Environment Modeling, Simulation, Informatics, and Big Data Mining
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: 30 June 2026 | Viewed by 55
Special Issue Editors
Interests: environmental informatization; environmental big data mining
Interests: environmental informatics; water model; water pollution tracing; water system platform
Interests: water environmental research; hydrodynamics; water ecology; simulation
Special Issue Information
Dear Colleagues,
In the current phase of deep integration between digital intelligence and ecological civilization, emerging information technologies such as 5G and artificial intelligence (AI) are fundamentally transforming the underlying frameworks of environmental governance. These advancements are driving significant changes in the monitoring, simulation, management, and evaluation of water environments. The widespread application of modeling, simulation, and big data technologies in water environmental research is providing invaluable insights into the complex interdependencies between water environments, water ecology, and water resources. This Special Issue seeks to explore the latest developments and pioneering applications at the intersection of informatics and water environmental science, with a particular emphasis on how advanced modeling and simulation tools, coupled with data-driven methodologies, can deepen our understanding of water systems and enhance decision-making in water resource management.
The topics covered in this Special Issue include, but are not limited to the following:
(1) Simulation analysis of water environments and hydrodynamic modeling;
(2) Collection, processing, and mining of water environment big data;
(3) Innovations and applications in water environment monitoring technologies;
(4) The application of machine learning and artificial intelligence in water environmental science;
(5) Real-world applications of water environment modeling and simulation;
(6) Emerging paradigms in intelligent and digital governance of water environments;
(7) Development of informatics software for water environments and integration of hardware–software systems;
(8) The use of digital twin technology in water environment management;
(9) Big data-driven risk assessment and predictive modeling of water environments.
This Special Issue aims to serve as a platform for advancing the field of water environment informatics, fostering the exchange of cutting-edge scientific knowledge, and promoting the implementation of innovative solutions.
Dr. Yulin Kang
Prof. Baiyin Liu
Dr. Yan Chen
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 250 words) can be sent to the Editorial Office for assessment.
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 environment
- environmental monitoring
- environmental informatization
- environmental big data mining
- environmental modeling
- environmental simulation
- AI application
- environmental data analysis
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