Database Integration and Conceptual Frameworks in Hydrological Research
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 529
Special Issue Editors
Interests: hydrology; hydroinformatics; fractals; hydroeconomics; climate change; groundwater and surface water hydrology; stochastic hydrology; machine learning; APEX; WRF-hydro; SWAT; MODFLOW
Interests: watershed modeling; hydrology; urban water management; climate adaptation; AI-driven engineering solution
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advances in computational tools and high-performance computing have greatly expanded the availability and diversity of hydrological data and models. The management of water resources now draws on satellite climate indicators, field measurements, groundwater and surface water records, as well as agricultural and socio-environmental information. However, challenges like fragmented data, inconsistencies, and a lack of clear integration frameworks limit the effective use of this wealth of information across disciplines and time scales.
This Special Issue, entitled "Database Integration and Conceptual Frameworks in Hydrological Research," seeks to address these gaps by encouraging scholarship that builds strong foundations for organizing, synthesizing, and applying hydrological data. We invite contributions such as literature reviews, conceptual frameworks, and original research focused on improving data integration, modeling frameworks, and the reusability of information in sustainable water management.
Key goals include promoting FAIR data principles, bridging disciplines like agro-hydrology and socio-hydrology through data architecture, exploring ethical and legal aspects of data governance, and developing standards for metadata and interoperability. By fostering clarity, connectivity, and credibility in hydrological research, this Special Issue aims to guide future advancements toward more integrated and sustainable water resource management.
Dr. Mahesh Lal Maskey
Prof. Dr. Upaka Rathnayake
Guest Editors
Manuscript Submission Information
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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
- watershed modeling
- hydrology
- urban water management
- climate adaptation
- AI-driven engineering solution
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