Towards Sustainability: Applications of Machine Learning in Water Management and Environmental Monitoring
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Environmental Sustainability and Applications".
Deadline for manuscript submissions: 30 August 2025 | Viewed by 75
Special Issue Editors
Interests: environmental fluid mechanics; hydrodynamic modeling of estuaries; hydraulic modeling; numerical modeling; analytical modeling; transport modeling; water managements; limnology and oceanography; optimization methods
Interests: hydrology; lakes; rivers; water temperature; water level; ice cover; water resources; climate changes
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Special Issue “Towards Sustainability: Applications of Machine Learning in Water Management and Environmental Monitoring” aims to explore the intersection of machine learning technologies and their applications in water management and environmental monitoring.
- Focus, Scope, and Purpose:
- Focus: This Special Issue focuses on the innovative use of machine learning to address complex challenges in water management and environmental monitoring. It seeks to highlight advancements in predictive analytics, data-driven decision making, and the development of sustainable practices through machine learning.
- Scope: The scope includes, but is not limited to, case studies, theoretical developments, practical applications, and reviews of machine learning methodologies in the context of hydrology, water quality assessment, resource management, and environmental sustainability.
- Purpose: The purpose is to showcase how machine learning can enhance the efficiency, accuracy, and sustainability of water management and environmental monitoring practices. It aims to bring together interdisciplinary research that contributes to sustainable development goals.
- Relation to Existing Literature:
This Special Issue will supplement the existing literature by providing a focused platform for the dissemination of research at the nexus of machine learning and sustainability. While there is a growing body of work on machine learning applications in various fields, this Special Issue will specifically address their role in fostering sustainable water management practices and environmental stewardship. It will fill gaps by providing empirical evidence, theoretical insights, and practical applications that demonstrate the tangible benefits of machine learning in promoting sustainability.
In line with the journal’s mission, this Special Issue will address challenges related to sustainability through socio-economic, scientific, and integrated approaches. By defining and quantifying sustainability, measuring and monitoring progress, and exploring relevant tools, applications, policies, and laws, this Special Issue will contribute significantly to the discourse on sustainable development.
Dr. Soufiane Haddout
Prof. Dr. Mariusz Ptak
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 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. Sustainability 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 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
- machine learning
- water management
- environmental monitoring
- sustainability
- predictive analytics
- hydrology
- water quality assessment
- data-driven decision making
- sustainable development
- environmental stewardship
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