This journal focuses on the application of computational and data-driven methods to understand and manage water systems. It covers topics such as hydrological modeling, flood forecasting, water resource management, and urban water infrastructure. The research utilizes techniques like machine learning, deep learning, and numerical simulations to analyze and predict water-related phenomena, including rainfall, river flow, soil moisture, and urban flooding. The scope also extends to the development of frameworks and tools for data processing, calibration, and optimization in various water engineering contexts.
Civil and Structural EngineeringAtmospheric ScienceWater Science and TechnologyGeotechnical Engineering and Engineering Geology
Research Topics (OpenAlex)
Hydrology and Watershed Management StudiesWater Systems and OptimizationHydrological Forecasting Using AIFlood Risk Assessment and ManagementWater resources management and optimizationHydraulic flow and structuresHydrology and Sediment Transport ProcessesHydrology and Drought AnalysisUrban Stormwater Management SolutionsGroundwater flow and contamination studies