Wushan
Guangzhou, AR 510640
China
South China University of Technology
compound flooding, explainable artificial intelligence, Deep learning, multi-head attention
Urban flood, Numerical simulation, coupled model, SWMM, TELEMAC-2D
storm surge, Typhoon, landfall location, landfall timing, moving speed
compound flood, estuary-ocean interaction region, storm surge, fluvial flood, flood hazard
Blue and green water, Attribution analysis, Water scarcity, Climate change, Land use change, Hanjiang River basin
Keywords: Urban flood, Coupled model, POI data, Population heatmaps
high moment, extreme climate indices, nonlinearity of time series, Guangdong Province
meteorological drought monitor, multi-source precipitation data, performance evaluation, global river basins
urban flood, coupled model, multi-source data, combined matrix, urban watershed
Storm surge, Typhoon, Explainable artificial intelligence, Deep learning, TELEMAC-2D
Delta Flood, Hydrodynamic models, Subaqueous Topographic changes, Water level variations, storm surge, Sea level rise
dissolved oxygen, Tidal effects, LSTM, Model explainability, Dongjiang River estuary