Numerical and Experimental Methods, Data Analyses, Digital Twin, IoT Machine Learning and AI in Water Sciences
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: 31 May 2025 | Viewed by 46
Special Issue Editor
Interests: multidisciplinary modelling; watershed modelling; ecosystem modelling; renewable energy; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Water is an important natural resource for our life. However, water scarcity influences more than 40% of the world's population. Many disasters resulting from water account for 70% of all deaths related to natural disasters. Therefore, the traditional approaches are insufficient to understand a river, lake, ocean, and groundwater system in terms of sustainable development and water resource management.
Advanced numerical and experimental methods, such as Data Analyses, Digital Twin, IoT Machine Learning, and AI, are essential for unraveling the mechanisms underlying various water resources and water processes to understand the complex interactions between water processes, such as soil erosion, nutrient cycles, water resources, water quality, biodiversity, climate, soil, and environmental sustainability.
This Special Issue of Water invites innovative scientific contributions to delve into these mechanisms and explore the latest research in this field, including experimental and computational approaches, modelling, simulation, integration, testing, monitoring, data analyses, digital twin, IoT machine learning, and AI, and the development of novel techniques for studying water processes and soil–water–air–plant interactions.
We invite contributions that address these and other challenges with a focus on water science from local, regional, or global perspectives.
Prof. Dr. Junye Wang
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 resources
- water quality
- biodiversity
- modelling
- simulation
- integration
- monitoring
- data analyses
- digital twin
- IoT machine learning and AI
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.
