Comment on \u201cCan assimilation of crowdsourced data in hydrological modelling improve flood prediction?\u201d by Mazzoleni et al. (2017) [PDF]
Citizen science and crowdsourcing are gaining increasing attention among hydrologists. In a recent contribution, Mazzoleni et al. (2017) investigated the integration of crowdsourced data (CSD) into hydrological models to improve the accuracy of real-time
Viero, Daniele P.
core +3 more sources
Understanding the national performance of flood forecasting models to guide incident management and investment [PDF]
The preparation of routine flood guidance statements and formulation of incident management strategies requires national operating agencies to have a firm understanding of the performance of flood forecasting models.
Cole, Steven J. +4 more
core +1 more source
Collection, storage and management of high-water marks data: praxis and recommendations
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
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]
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
ReAFFIRM: Real-time Assessment of Flash Flood Impacts: a Regional high-resolution Method [PDF]
Flash floods evolve rapidly in time, which poses particular challenges to emergency managers. One way to support decision-making is to complement models that estimate the flash flood hazard (e.g.
Berenguer Ferrer, Marc +4 more
core +2 more sources
RAPID EXPOSURE ASSESSMENT OF NATIONWIDE RIVER FLOOD FOR DISASTER RISK REDUCTION [PDF]
considerably increased. For flood disaster risk reduction, it is important to identify and characterize flood area, locations (particularly lowland along rivers), and durations.
Y. Kwak +5 more
doaj +1 more source
Flash flood modeling in the data-poor basin: A case study in Matina River Basin
Forecasting flooding hazards is a very effective non-engineering measure for flood control. Presently, the commonly used forecasting method in simulating flash flood events is through a watershed hydrological model.
Rhonalyn V. Macalalad +6 more
doaj +1 more source
Developing surface water flood forecasting capabilities in Scotland: an operational pilot for the 2014 Commonwealth Games in Glasgow [PDF]
Existing surface water flood forecasting methods in Scotland are based on indicative depth‐duration rainfall thresholds with limited understanding of the likelihood of inundation or associated impacts.
Bell +32 more
core +2 more sources
From high waters forecasts to flooded areas forecasts
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
Impact‐Based Forecasting for Pluvial Floods [PDF]
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
openaire +6 more sources

