Application of Hydrological Modelling to Water Resources Management
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".
Deadline for manuscript submissions: 20 December 2025 | Viewed by 50
Special Issue Editors
Interests: water resources management; hydrological modeling; water–energy nexus; decision support system; environmental impact assessment
Special Issues, Collections and Topics in MDPI journals
Interests: water resources management; water–energy nexus analysis; sustainable management strategies using big data; advanced machine learning techniques
Special Issue Information
Dear Colleagues,
This Special Issue emphasizes the application, rather than the further development, of both conventional and advanced hydrological models to water resources challenges. Submissions are invited that illustrate the operationalization of data-driven, physically based, conceptual, lumped, distributed, deterministic, and stochastic models. Of particular interest are studies that integrate these models with artificial intelligence, machine learning, deep learning, optimization problems, and probabilistic frameworks to enhance model-informed decision making. The scope includes, but is not limited to, applications related to flood and drought management, climate change impact assessment, reservoir and inter-basin operation, water allocation, and the water–energy nexus (e.g., optimizing hydropower or floating photovoltaic reservoir systems). In contrast to traditional research emphasizing hydrological modeling, this Special Issue shifts the focus toward evidence-based implementation. Key areas of interest include rigorous model calibration and validation using diverse observational sources (in situ, remote sensing, crowdsourced, and big data streams), integration into decision support systems and digital twin platforms, and translating model outputs into actionable water policy and governance strategies. Contributions should articulate how the presented applications support the advancement of the United Nations Sustainable Development Goals, specifically SDG 6 (Clean Water and Sanitation), SDG 7 (Affordable and Clean Energy), SDG 13 (Climate Action), and SDG 15 (Life on Land). Through original research articles, review papers, regional case studies, and comparative analyses, this Issue aims to identify knowledge gaps, showcase best practices, and offer strategic insights for scalable, resilient, and just water resources management under changing climatic conditions.
Prof. Dr. Doosun Kang
Dr. Amir Saman Tayerani Charmchi
Guest Editors
Dr. Fatemeh Ghobadi
Guest Editor Assistant
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. 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
- climate-change adaptation
- climate-related disasters
- decision support systems
- digital twins
- early warning systems
- environmental uncertainties
- hydrological modeling
- integrated water resources management (IWRM)
- machine learning and deep learning
- model-informed decision making
- multi-criteria decision making
- multi-objective opti-mization
- optimal water allocation
- probabilistic modeling
- proactive management strategies
- reinforcement learning
- remote sensing and GIS applications
- scheduling and planning
- Sustainable Development Goals (SDGs)
- water–energy nexus
- water supply and demand
- water resources management
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