Developing an impact library for forecasting surface water flood risk
Journal of Flood Risk Management, 2020 During surface water flooding events, emergency responders require detailed information on the risks posed in order to provide an appropriate and effective response.
Timothy Aldridge +5 more
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flood forecasting based on machine learning pattern recognition and dynamic migration of parameters
Journal of Hydrology: Regional Studies, 2023 Study region: Typical basin in semi-arid and semi humid areas in the middle reaches of the Yellow River Study focus: Floods are among the most devastating natural disasters.
Yehai Tang +6 more
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Monitoring and anticipating floods in France
E3S Web of Conferences, 2016 The State flood warning and anticipation tools in France have evolve a lot since the years 2000. This paper first presents an overview of the progress made since then. A description of the existing flood vigilance system (www.vigicrues.gouv.fr) is given,
Leleu Isabelle +8 more
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Remote Sensing-Supported Flood Forecasting of Urbanized Watersheds—A Case Study in Southern China
Remote Sensing, 2022 Urbanization has significant impacts on watershed hydrology, but previous studies have been confirmatory and not comprehensive; in particular, few studies have addressed the impact of urbanization on flooding in highly urbanized watersheds. In this study,
Yu Gu +3 more
doaj +1 more source
Extending flood forecasting lead time in a large watershed by coupling WRF QPF with a distributed hydrological model [PDF]
Hydrology and Earth System Sciences, 2017 Long lead time flood forecasting is very important for large watershed flood mitigation as it provides more time for flood warning and emergency responses.
J. Li +5 more
doaj +1 more source
Collection, storage and management of high-water marks data: praxis and recommendations
E3S Web of Conferences, 2016 High-water marks data, in its most general definition, is a precious source of information for the many stakeholders involved in risk culture, inundation mapping, river, estuarine or coastal studies, etc. Although there have already been many initiatives
Piotte Olivier +8 more
doaj +1 more source
From high waters forecasts to flooded areas forecasts
E3S Web of Conferences, 2016 Flooded areas are key information to crisis managers, both at local and national level. They help sizing human and material resources to be deployed before and during a flood. These data already exist on several French rivers as they are been produced in
Escudier Aurélie +3 more
doaj +1 more source
Radar rainfall nowcasting and flood forecasting based on deep learning
Shui kexue jinzhan, 2023 To explore the applicability of deep learning methods to radar rainfall nowcasting and flood forecasting, U-Net, Attention-Unet and TransAtt-Unet are used to carry out rainfall nowcasting.
Jianzhu LI +3 more
doaj +1 more source
Application of data-based mechanistic modelling for flood forecasting at multiple locations in the Eden catchment in the National Flood Forecasting System (England and Wales) [PDF]
Hydrology and Earth System Sciences, 2013 The Delft Flood Early Warning System provides a versatile framework for real-time flood forecasting. The UK Environment Agency has adopted the Delft framework to deliver its National Flood Forecasting System.
D. Leedal +3 more
doaj +1 more source
E3S Web of Conferences, 2016 Flood forecasting uncertainty is crucial information for decision makers. However, deterministic only forecasts have been communicated in France until now, like in many other countries.
Berthet Lionel +4 more
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