Tag: Flood Risk Assessment and Management
Graph neural networks identified flood-vulnerable river segments
Graph neural network framework for assessing flood vulnerability in river basins. Identifies high-risk segments and flood-prone sub-basins by combining hydrological attributes with network topology.
Climate change intensified Valencia’s 2024 flash flood rainfall
Attribution study shows anthropogenic climate change amplified extreme rainfall and flash flooding in Valencia, October 2024, increasing 6-hour rainfall by 21% and affected area by 55%.
EO data may improve flood monitoring and forecasting
Review of Earth Observation data capabilities for enhancing riverine flood monitoring and forecasting systems, analyzing accuracy, latency, and assimilation constraints.
Projected land cover change slightly increases flood discharge
Hydrologic impact assessment of projected land cover changes in Cijangkelok Watershed using ANN-based spatial prediction and HEC-HMS design flood simulation.
Pareto optimization selected reservoir size and location for flood reduction
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in EngineeringOptimize urban flood mitigation using Pareto optimization for distributed small-scale reservoirs. Balance cost and flood reduction effectively.
Flood susceptibility in the Kabul River Basin rises toward 2100
Projection of flood susceptibility in the Kabul River Basin through 2100 integrating climate, population, and land cover dynamics using XGBoost machine learning with high predictive accuracy.
