Sustainable Water Resource Management Using Cutting-Edge Technologies
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Resources Management, Policy and Governance".
Deadline for manuscript submissions: 20 October 2026 | Viewed by 1152
Editors
Interests: water resources simulation; optimization and management; water quality monitoring; simulation and management; temporal and spatial analysis of water quality and quantity parameters; water balance in catchment areas; erosion, floods and sedimentation in catchment areas; artificial neural networks; ANN; geographic information system; GIS; remote sensing; RS
Special Issues, Collections and Topics in MDPI journals
Interests: Remote Sensing and GIS Applications; Soil Salinity and Erosion; Hydrometeorolo-gy and Flash Floods; Environmental Sustainability; application of remote sensing and GIS technologies for environmental monitoring and water resources manage-ment in arid and semi-arid regions; oil salinity mapping and assessment; water quality evaluation; evapotranspiration using satellite imagery and spectral analysis techniques
Special Issues, Collections and Topics in MDPI journals
Interests: soil–water–plant relations; soil hydraulic properties; precise irrigation scheduling; soil–water infiltration; solute transport in porous media; simulation and prediction models; neural networks; irrigation water quality; water saving; rational and sus-tainable irrigation water management.
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Escalating global climate change, synergistically coupled with the trajectory of rapid urbanisation across the globe and a discernible surge in the frequency and intensity of extreme rainfall events; increasing temperature trends; and severe stress in water balance, have collectively driven a state of pronounced uncertainty and inherent vulnerability within the domain of water resource management.
In direct response to this paramount challenge, this Special Issue extends an invitation for the submission of high-quality, meticulously conducted research. It is particularly interested in and warmly welcomes original manuscripts that successfully establish and articulate a clear and powerful linkage between the cutting-edge capabilities of artificial intelligence (AI), machine learning (ML), and deep learning (DL) with sophisticated, state-of-the-art methodologies within the specialised field of sustainable water resource management, in both urban and agricultural sectors. Topics of specific interest that leverage AI/ML/DL-driven approaches for sustainable water resource management include, but are not limited to, the following:
- Prediction and forecasting: Novel models for high-resolution forecasting of hydrological extremes, including flash floods, flash droughts, pluvial sediment transport and seasonal water availability.
- Optimal resource allocation: Intelligent systems for real-time optimisation of water distribution networks, reservoir operation, and irrigation scheduling under uncertainty.
- Infrastructure resilience: Application of DL for anomaly detection and predictive maintenance in critical water infrastructure (e.g., pipelines, treatment plants).
- Water quality monitoring: AI-based solutions for the continuous and automated analysis of water quality parameters and the identification of contaminant sources.
- Integrated modelling: Coupling of physical-based hydrological models with ML/DL algorithms for enhanced simulation of complex human–water interactions and Nexus dynamics.
- Data fusion and assimilation: Utilising ML/DL algorithms to synthesise disparate and heterogeneous data sources (satellite imagery, sensor networks, climate model outputs) for comprehensive situational awareness in water systems.
- IoT in irrigation, precise irrigation, rational irrigation, and water management in agriculture.
We look forward to receiving your original research articles and review papers.
Prof. Dr. Aris Psilovikos
Prof. Dr. Mohamed Elhag
Dr. Anastasia Angelaki
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-anonymized 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
- artificial intelligence
- machine learning/deep learning
- sustainable water resource management
- hydrological modelling
- digital twins for water systems
- flood risk mapping and early warning systems
- sediment transport
- flood and drought forecasting
- groundwater modelling
- remote sensing and IoT-enabled monitoring
- optimisation of water distribution
- water quality prediction
- evapotranspiration forecasting
- smart irrigation
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