Advances in Large Scale Flood Monitoring and Detection

• Andere auteurs: Manfreda, Salvatore (Redacteur), Samela, Caterina (Redacteur), Refice, Alberto (Redacteur), Tramutoli, Valerio (Redacteur), Nardi, Fernando (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Onderwerpen: History of engineering & technology; 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
• Online toegang: DOAB: download the publication; DOAB: description of the publication

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 parti...