Advances in Large Scale Flood Monitoring and Detection

• Autore: Manfreda Salvatore
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 electronic resource (198 p.)
• Soggetto topico: History of engineering & technology
• Soggetto non controllato: climate change; flood hazards; high-resolution AGCM; inundation analysis; Lower Mekong river basin; data assimilation; ensemble Kalman filter; flood inundation maps; National Water Model (NWM); countermeasures; flood impacts; Metro Colombo canal system; Colombo city, Sri Lanka; urban floods; near real-time; Mekong Basin; hydro-economic; socioeconomic; damage assessment; hydroinformatics; EU Floods Directive; flood risk management; extreme rainfall; SCS-CN; 2D hydraulic modelling; HEC-RAS; building representation; ungauged streams; uncertainty; IDF curves; Bayesian analysis; Non-Stationary process; open-access remotely sensed data; flood mapping and modelling; altimetry; synthetic aperture radar; optical satellite; Digital Elevation Model (DEM); and transboundary floods; flood; remote sensing; data integration; RST-FLOOD; MODIS; VIIRS; optical data; flood mapping; flood monitoring; floodplains; rivers dynamics; DEM-based methods; geomorphology; data scarce environments; DTM; terrain analysis; hydraulic geometry; large scale; 2D hydraulic modeling; scaling in hydrology
• Persona (resp. second.): SamelaCaterina; ReficeAlberto; TramutoliValerio; NardiFernando; ManfredaSalvatore
• Sommario/riassunto: Climate change and land use transformations have induced an increased flood risk worldwide. These phenomena are dramatically impacting ordinary life and the economy. Research and technology offer a new strategy to quantify and predict such phenomena and also mitigate the impact of flooding. In particular, the growing computational power is offering new strategies for a more detailed description of the flooding over large scales. This book offers an overview of the most recent outcomes of the research on this argument.
• Titolo autorizzato: Advances in Large Scale Flood Monitoring and Detection
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557296303321
• Lo trovi qui: Univ. Federico II