Application of Hydrological Modelling to Water Resources Management

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

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