Novel Approaches for Water Resources Assessment
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental Sciences".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 403
Special Issue Editors
Interests: hydrology; water resources engineering; land system science; structural engineering
Interests: sustainable development; energy conservation; green technologies; climate change; renewable energy sources; water pollution; water management; water treatment technologies; wastewater treatment; water reuse; biofiltration; carbon footprint; eco-friendly solutions; water purification; environmental impact assessment
Special Issues, Collections and Topics in MDPI journals
Interests: wastewater treatment; biotechnology; fermentation; biofuel and bio energies; plant sciences; waste management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
An increasing number of global challenges, including climate change, quality of life, and industrial development, require the sustainable use of water resources. The assessment of water resources requires accurate and innovative methods to guarantee the quantity and quality of water for population, agriculture, industrial activities, and other purposes.
This Special Issue invites manuscripts that explore novel methodologies and technologies in the assessment of water resources. Topics of interest include, but are not limited to, machine learning applications, statistical modeling, integrated water resource management models, innovative hydrological approaches, and multi-disciplinary approaches.
The contributions to this Special Issue aim to develop solutions to the problems of water resource assessment to ensure sustainable management, address the challenges related to water scarcity, pollution, and climate change, and consider the legislative measures implemented, such as ecological flow and more.
These are some suggested topics for this Special Issue; however, they are not exhaustive:
- Hydrological monitoring and modeling;
- Water demand and usage evaluation;
- Water risks and impact assessment (drought, flood, seasonal variations, groundwater depletion, contamination of freshwater sources);
- Climate change impact assessment;
- Integrated water resource management;
- Circular economy in water management;
- Machine and deep learning;
- Multivariate analysis.
Dr. Ilinca Cornel
Dr. Negisa Darajeh
Dr. Shahabaldin Rezania
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at mdpi.longhoe.net 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. Applied Sciences 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
- water resources engineering
- water management
- water footprint
- hydrology
- hydroscience
- hydroenergy
- ecohydrology
- computational methods in water resources
- hydrological and hydrometeorological modeling
- machine learning approaches
- statistical modeling
- probabilistic approach
- extreme events
