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Assessment of water resources system resilience under hazardous events using system dynamic approach and artificial neural networks
(IWA Publishing, 2023)
The objective of this research is to propose a novel framework for assessing the consequences of hazardous events on a water resources system using dynamic resilience. Two types of hazardous events were considered: a severe ...
Combining machine learning and spatial data processing techniques for allocation of large-scale nature-based solutions
(Blue-Green Systems, 2023)
The escalating impacts of climate change trigger the necessity to deal with hydro-meteorological hazards. Nature-based solutions (NBSs) seem to be a suitable response, integrating the hydrology, geomorphology, hydraulic, ...