A staggered approach to flash flood forecasting a case study in the Cevennes region [PDF]
, 2011 A staggered approach to flash flood forecasting is developed within the IMPRINTS project (FP7-ENV-2008-1-226555). Instead of a single solution system, a chain of different models and input data is being proposed that act in sequence and provide decision ...
Smith, P. J. +3 more
core +6 more sources
An exploration of neural networks for real-time flood forecasting [PDF]
, 2011 This thesis examines Artificial Neural Networks (ANNs) for rainfall-runoff modelling. A simple ANN was first developed to predict floods in the city of Rome, located in the Tiber River basin.
Napolitano, Giulia
core +6 more sources
Adaptive correction of deterministic models to produce probabilistic forecasts [PDF]
, 2012 This paper considers the correction of deterministic forecasts given by a flood forecasting model. A stochastic correction based on the evolution of an adaptive, multiplicative, gain is presented.
Leedal, David +7 more
core +6 more sources
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
doaj +1 more source
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
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
openaire +4 more sources
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
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
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