Flood myth

High-resolution climate projections for Pampanga and Pasig-Marikina-Laguna-Lake basins reveal intensifying rainfall extremes, elevated design rainfall, and increased seasonal variability.

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.

CMIP6 climate models project intensified precipitation extremes in the Kosi Basin, with 47-79% increases in rainfall by 2100, critical for flood risk management and water resource planning.

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

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.