Results 11 to 20 of about 5,416 (265)
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
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Recent advances in flood forecasting and flood risk assessment [PDF]
Hydrology and Earth System Sciences, 2005 Abstract. Recent large floods in Europe have led to increased interest in research and development of flood forecasting systems. Some of these events have been provoked by some of the wettest rainfall periods on record which has led to speculation that such extremes are attributable in some measure to anthropogenic global warming and represent the ...
G. Arduino, P. Reggiani, TODINI, EZIO
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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
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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
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Forecasting Nile River Flood Using a Fuzzy Neural Network Model [PDF]
The Egyptian Statistical Journal, 2008 River flood forecasting has a significant social and economic impact as it can help in protection from water shortages and possible flood damages. River flood forecasting is very difficult process since it means handling large amounts of dynamic ...
Eman Sanhouri, Azza El-Naggar
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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
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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
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Impact‐Based Forecasting for Pluvial Floods [PDF]
Earth's Future, 2021 AbstractPluvial floods in urban areas are caused by local, fast storm events with very high rainfall rates, which lead to inundation of streets and buildings before the storm water reaches a watercourse. An increase in frequency and intensity of heavy rainfall events and an ongoing urbanization may further increase the risk of pluvial flooding in many ...
Rözer, V. +24 more
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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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