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Modern Developments in Flood Modelling

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Palabras clave – provistas por la editorial

ombrian curves; intensity–duration–frequency curves; rainfall extremes; regionalization; regional frequency analysis; spatial rainfall; design rainfall; IANOS; medicane; Karditsa; HEC-HMS; HEC-RAS; remote sensing; SENTINEL; machine learning; sewer model; LSTM neural network; urban sewer flooding; flood exposure; geospatial analysis; open-access data; infrastructure; forensic hydrology; flood modeling; open dataset; MIKE FLOOD; Eastern Uganda; flood plains; flood hazard maps; return period; SWAT; dams; numerical simulations; physical modeling; water management; wetlands; nature-based solutions; flood mitigation; coastal flooding; tidal watersheds; compound flooding; D-vine copula; trivariate joint analysis; Bernstein estimator; beta kernel estimator; parametric copulas; kernel density estimation; return periods; extreme rainfall; default urban fraction; Kampala; urban parameter; updated urban fraction; WRF model; ensemble empirical mode decomposition (EEMD); flood period; tidal river; water level forecasting; hydraulic simulation; flood maps; digital elevation model; random forests; UAV mapping; DEM sensitivity; DEM errors; flood extent; flood risk assessment; numerical modelling; storm surge; sea level elevation; inundation maps; Manning coefficient; raster grid; n/a

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