Assessment of factors affecting flood forecasting accuracy and reliability. Carpe Diem Centre for Water Resources Research : Deliverable 10.3

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Show simple item record Bruen, Michael Nasr, Ahmed Elssidig Yang, Jianqing Parmentier, Benoit 2010-08-05T15:24:55Z 2010-08-05T15:24:55Z 2004-12
dc.description.abstract 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, fitted to historic data, and operating on one-dimensional time-series of discharges. In this report, this new methodology is tested by applying it to (i) a rural catchment (Dargle)and (ii) a small urban catchment (CityWest). The results are compared with measured discharge series in both cases. Various measures of performance, applied to both the entire discharge series and also to the peaks-only are reported for various combinations of lead-time, spatial resolution and numbers of neurons in the hidden layer of the ANN model. en
dc.description.sponsorship Other funder en
dc.format.extent 780404 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher University College Dublin. Departmetn of Civil Engineering en
dc.relation.requires Critical Infrastructure Group Research Collection en
dc.subject Neural network model en
dc.subject Flood forecasting en
dc.subject Rainfall prediction en
dc.subject SMAR model en
dc.subject.lcsh Flood forecasting en
dc.subject.lcsh Neural networks (Computer science) en
dc.subject.lcsh Precipitation forecasting en
dc.subject.lcsh Hydrologic models en
dc.title Assessment of factors affecting flood forecasting accuracy and reliability. Carpe Diem Centre for Water Resources Research : Deliverable 10.3 en
dc.type Technical Report en
dc.internal.availability Full text available en
dc.status Peer reviewed en
dc.neeo.contributor Bruen|Michael|aut| en
dc.neeo.contributor Nasr|Ahmed Elssidig|aut| en
dc.neeo.contributor Yang|Jianqing|aut| en
dc.neeo.contributor Parmentier|Benoit|aut| en
dc.description.othersponsorship Environmental Protection Agency en
dc.description.othersponsorship Teagasc en
dc.description.admin This is a 2004 working paper from the then Department of Civil Engineering, UCD. DG 12/07/10 en

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