Novel Approaches in 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 2026
Special Issue Editors
Interests: water and wastewater treatment; resource recovery; environmental sustainability; nutrients recovery waste treatment
Interests: hydrology; water resources engineering; land system science; hydraulic structures
Special Issues, Collections and Topics in MDPI journals
Interests: materials engineering; wastewater treatment and filtration; sustainability; circular economy; waste valorization; building materials; mortar and concrete technologies; indoor air quality
Special Issues, Collections and Topics in MDPI journals
Interests: water and wastewater treatment; resource recovery; environmental sustainability; nutrients recovery; membrane technologies; water reuse
Special Issue Information
As the world grapples with an unprecedented convergence of climate volatility, hyper-urbanization and industrial demand, the quest for water resilience has never been more critical. The assessment of water resources requires accurate and innovative methods to bridge the gap between crisis and innovation, spotlighting the transformative strategies essential for securing our global water future.
This Special Issue invites manuscripts that explore the sustainable breakthroughs and efficient technologies required to meet the escalating demands of the 21st century. Topics of interest include, but are not limited to, artificial intelligence and machine learning applications, remote sensing and GIS, the Internet of Things (IoT) and smart water systems, nature-based solutions, advanced sensor technologies, big data analytics and integrated modeling frameworks.
The contributions to this Special Issue aim to develop transformative solutions for water resource challenges, including water scarcity, pollution, extreme events, ecosystem degradation and climate change adaptation.
Some suggested topics for this Special Issue include, but are not limited to, the following:
- High-performance computing for hydrological modeling
- Big data analytics and cloud computing in hydrology
- Water demand and usage evaluation
- Water risks and impact assessment (drought, flood, seasonal variations, groundwater depletion, contamination of freshwater sources)
- Climate change adaptation and resilience
- Integrated water resource management
- Sustainable water use and circular economy
- Remote sensing, satellite imagery and UAV applications
Dr. Carla Maggetti
Dr. Ilinca Cornel
Dr. Chiara Giosuè
Dr. Anna Laura Eusebi
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. 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 resource engineering Hydroinformatics Water governance Hydrology Hydroscience Hydroenergy Ecohydrology Computational methods in water resources Hydrological and hydrometeorological modeling Machine learning and deep learning Blue-green infrastructure Extreme events
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