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Comparison of different methodologies for rainfall–runoff modeling: machine learning vs conceptual approach [期刊论文]
Natural Hazards, 2021-01-01, 105 (3
Adnan R.M.;  Petroselli A.;  Heddam S.;  Santos C.A.G.;  Kisi O.
View/Download:8/0
 
Flood susceptibility mapping using a geomorphometric approach in South Australian basins [期刊论文]
Natural Hazards, 2021-01-01, 106 (1
Ahmed A.;  Hewa G.;  Alrajhi A.
View/Download:5/0
 
Land use and land cover dynamics in Leiria City: relation between peri-urbanization processes and hydro-geomorphologic disasters [期刊论文]
Natural Hazards, 2021-01-01, 106 (1
Barros J.L.;  Tavares A.O.;  Santos P.P.
View/Download:7/0
 
Flood map production and evaluation of flood risks in situations of insufficient flow data [期刊论文]
Natural Hazards, 2021-01-01, 105 (3
Beden N.;  Ulke Keskin A.
View/Download:3/0
 
Using search-constrained inverse distance weight modeling for near real-time riverine flood modeling: Harris County, Texas, USA before, during, and after Hurricane Harvey [期刊论文]
Natural Hazards, 2021-01-01, 105 (1
Berens A.S.;  Palmer T.;  Dutton N.D.;  Lavery A.;  Moore M.
View/Download:8/0
 
Hydrodynamic modelling and vulnerability analysis to assess flood risk in a dense Indian city using geospatial techniques [期刊论文]
Natural Hazards, 2021-01-01, 105 (2
Bhattacharjee S.;  Kumar P.;  Thakur P.K.;  Gupta K.
View/Download:10/0
 
Meteotsunami-related flooding and drying: numerical modeling of four Adriatic events [期刊论文]
Natural Hazards, 2021-01-01, 106 (2
Bubalo M.;  Janeković I.;  Orlić M.
View/Download:1/0
 
Generation of 1D and 2D flood maps of Sakarya river passing through Geyve district of Sakarya city in Turkey [期刊论文]
Natural Hazards, 2021-01-01, 105 (1
Ceribasi G.;  Ceyhunlu A.I.
View/Download:3/0
 
Impacts of sea level rise on future storm-induced coastal inundations over massachusetts coast [期刊论文]
Natural Hazards, 2021-01-01, 106 (1
Chen C.;  Lin Z.;  Beardsley R.C.;  Shyka T.;  Zhang Y.;  Xu Q.;  Qi J.;  Lin H.;  Xu D.
View/Download:16/0
 
An ensemble risk assessment model for urban rainstorm disasters based on random forest and deep belief nets: a case study of Nanjing, China [期刊论文]
Natural Hazards, 2021-01-01, 107 (3
Chen J.;  Liu L.;  Pei J.;  Deng M.
View/Download:7/0
 

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