Flood Risk Assessment and Management

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.

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%.

Review of Earth Observation data capabilities for enhancing riverine flood monitoring and forecasting systems, analyzing accuracy, latency, and assimilation constraints.

Integrated sensitivity-optimisation framework for calibrating hydrodynamic and water-quality models applied to the Nile River using Brute-Force analysis and Dual-Annealing optimisation.

Mega-flood impact on Murray-Darling Basin water quality: analysis of nutrient dynamics, hysteresis patterns, and climate-driven flood risks across spatial gradients.

Four years of continuous sewer hydraulic and water quality data from Austria with precipitation records and hydrodynamic model for combined sewer system analysis and pollutant transport research

Hydrologic impact assessment of projected land cover changes in Cijangkelok Watershed using ANN-based spatial prediction and HEC-HMS design flood simulation.

Optimize urban flood mitigation using Pareto optimization for distributed small-scale reservoirs. Balance cost and flood reduction effectively.

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.

Analysis of 786 news articles reveals media alignment with academic research on China's Sponge City Program functions and challenges, but identifies gaps in technical nuance.