Since 1975, flood estimation in Ireland has generally
followed methods as outlined in the Flood Studies Report
(Natural Environment Research Council, 1975). An update
of this for conditions in the Republic of Ireland ...
This paper describes the development of a
model to analyse the rate of infiltration and run-off
experienced by a partly saturated soil slope during
rainfall. The paper first reviews some of the most
popular infiltration ...
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 ...
For many good and practical reasons, lumped rainfall-runoff models are widely used to represent a catchment‟s response to rainfall. However, they have some acknowledged limitation, some of which are addressed here using a ...
Tackling the problem of eutrophication in fresh waters is at the top of the agenda for the implementation of the Water Framework Directive (WFD) in Europe. The problem is caused primarily by an increase in phosphorus loading ...
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 ...
A field study utilizing simulated rainfall and bare plots 5.5m wide by 22m long was conducted to study the effectiveness of vegetated filter strips 4.6 and 9.2m long in
removing nutrients and sediments from agricultural ...
This paper is a research brief highlighting the development of a novel alum sludge based constructed wetland system, aimed at reducing the pollution effects of agricultural run-offs. Alum sludge is a by-product of drinking ...
Despite significant developments, the simple, lumped, conceptual, rainfall-runoff model is still widely used for flood forecasting. What may not be appreciated is that, while such models can often be calibrated to give ...