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Recent advances in flood forecasting and flood risk assessment [PDF]

open access: yesHydrology and Earth System Sciences, 2005
International audienceRecent 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 ...
Arduino, G., Reggiani, P., Todini, E.
core   +6 more sources

On the Use of Global Flood Forecasts and Satellite-Derived Inundation Maps for Flood Monitoring in Data-Sparse Regions [PDF]

open access: yesRemote Sensing, 2015
Early flood warning and real-time monitoring systems play a key role in flood risk reduction and disaster response decisions. Global-scale flood forecasting and satellite-based flood detection systems are currently operating, however their reliability ...
Beatriz Revilla-Romero   +6 more
doaj   +3 more sources

FloodCastBench: A Large-Scale Dataset and Foundation Models for Flood Modeling and Forecasting [PDF]

open access: yesScientific Data
Effective flood forecasting is crucial for informed decision-making and emergency response. Existing flood datasets mainly describe flood events but lack dynamic process data suitable for machine learning (ML).
Qingsong Xu   +3 more
doaj   +2 more sources

Research on a hybrid model for flood probability prediction based on time convolutional network and particle swarm optimization algorithm [PDF]

open access: yesScientific Reports
Accurate flood forecasting in advance is crucial for planning and implementing watershed flood prevention measures. This study developed the PSO–TCN–Bootstrap flood forecasting model for the Tailan River Basin in Xinjiang by integrating the particle ...
Qiying Yu   +11 more
doaj   +2 more sources

Flood Forecasting with Merged Satellite Precipitation and Hydrologic Model [PDF]

open access: yesE3S Web of Conferences, 2022
Flood forecasting has been an effective way to reduce the potential flood hazards for a sustainable socio-economy. However, the lack of in-situ precipitation records has limited the applicability of flood forecasting with hydrologic models in poorly ...
Dong Ningpeng   +3 more
doaj   +1 more source

2021 UK floods: improvements and recommendations from the flood forecasting centre

open access: yesHydrology Research, 2023
In recognition of the increased risk to national resilience from flooding, we provide an overview of recent and future improvements to flood risk forecasting and communication at the Flood Forecasting Centre (FFC).
Charles Pilling   +5 more
doaj   +1 more source

Flood River Water Level Forecasting using Ensemble Machine Learning for Early Warning Systems [PDF]

open access: yes, 2022
Flood forecasting is crucial for early warning system and disaster risk reduction. Yet the flood river water levels are difficult and challenging task that it cannot be easily captured with classical time-series approaches.
Abdullah, Shahrum Shah   +2 more
core   +1 more source

2021 UK floods: event summaries and reflections from the Flood Forecasting Centre

open access: yesHydrology Research, 2023
Flooding in 2021 has highlighted the increased risk to national resilience. This is against a backdrop of the UK climate projected to become more extreme over the next few decades.
Charles Pilling   +5 more
doaj   +1 more source

A crash-testing framework for predictive uncertainty assessment when forecasting high flows in an extrapolation context [PDF]

open access: yesHydrology and Earth System Sciences, 2020
An increasing number of flood forecasting services assess and communicate the uncertainty associated with their forecasts. While obtaining reliable forecasts is a key issue, it is a challenging task, especially when forecasting high flows in an ...
L. Berthet   +6 more
doaj   +1 more source

Development of seasonal flow outlook model for Ganges-Brahmaputra Basins in Bangladesh [PDF]

open access: yesProceedings of the International Association of Hydrological Sciences, 2016
Bangladesh is crisscrossed by the branches and tributaries of three main river systems, the Ganges, Bramaputra and Meghna (GBM). The temporal variation of water availability of those rivers has an impact on the different water usages such as ...
S. Hossain   +4 more
doaj   +1 more source

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