Advances in Large Scale Flood Monitoring and Detection

• Autore: Manfreda Salvatore
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 online resource (198 p.)
• Soggetto topico: History of engineering and technology
• Soggetto non controllato: 2D hydraulic modeling; 2D hydraulic modelling; altimetry; and transboundary floods; Bayesian analysis; building representation; climate change; Colombo city, Sri Lanka; countermeasures; damage assessment; data assimilation; data integration; data scarce environments; DEM-based methods; Digital Elevation Model (DEM); DTM; ensemble Kalman filter; EU Floods Directive; extreme rainfall; flood; flood hazards; flood impacts; flood inundation maps; flood mapping; flood mapping and modelling; flood monitoring; flood risk management; floodplains; geomorphology; HEC-RAS; high-resolution AGCM; hydraulic geometry; hydro-economic; hydroinformatics; IDF curves; inundation analysis; large scale; Lower Mekong river basin; Mekong Basin; Metro Colombo canal system; MODIS; National Water Model (NWM); near real-time; Non-Stationary process; open-access remotely sensed data; optical data; optical satellite; remote sensing; rivers dynamics; RST-FLOOD; scaling in hydrology; SCS-CN; socioeconomic; synthetic aperture radar; terrain analysis; uncertainty; ungauged streams; urban floods; VIIRS
• 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