The multi-layer feed-forward neural network (MLFFNN) is applied in the context of river flow forecast combination, where a number of rainfall-runoff models are used simultaneously to produce an overall combined river flow ...
The performance of three artificial neural network (NN) methods for combining simulated river flows, based on three different neural network structures, are compared. These network structures are; the simple neural network ...
Different definitions of the bankfull condition in rivers are based on morphological characteristics, boundary conditions and geometrical properties. Consequently, the magnitude and associated return period of the bankfull ...
Quantifying uncertainty in flood forecasting is a difficult task, given the multiple and strongly nonlinear
model components involved in such a system. Much effort has been and is being invested in
the quest of dealing ...
The Shannon river basin is the largest in Ireland and it encompasses a number of urban and rural towns. The water of this river provides the demand for drinking, agriculture, ecology, industry, etc. Therefore it is essential ...
In this study two different models have been developed and tested with data from 55 hydrometric stations in the Shannon River Basin in Ireland for estimating the location and the scale parameters of the EV1 distribution ...
Algorithms based on simple one-dimensional stage–discharge models for compound channels have been developed and tested for overbank flow data from the UK Flood Channel Facility and the University of Ulster channel with ...
In Deliverable 10.1, a optimal methodology for combining precipitation information
from raingauges, radar and NWP models (in this case HIRLAM) was described. It
was based on an artificial neural network combination model, ...
Seven adaptive approaches to post-processing wind speed forecasts are discussed and compared. 48-hour forecasts are run at horizontal resolutions of 7 km and 3 km for a domain centred over Ireland. Forecast wind speeds ...
An improved approach for applying three-dimensional (3D) computational fluid dynamics (CFD) models to estimate
uniform flow stage–discharge relationships and velocity distributions in straight compound channels is ...