A Neutral Network Approach to Rainfall Forecasting in urban environments

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dc.contributor.author Ball, JE
dc.contributor.author Luk, KC
dc.contributor.editor Abrahart, RJ
dc.contributor.editor Kneale, PE
dc.contributor.editor See, LM
dc.date.accessioned 2010-05-28T09:38:30Z
dc.date.issued 2004-01
dc.identifier.citation Neural networks for hydrological modelling, 2004, 1, pp. 177 - 195
dc.identifier.isbn 90-5809-619-x
dc.identifier.other B1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/7886
dc.description.abstract An effective flood warning system in urban areas must provide the warnign with sufficient lead time for an appropriate response by the relevant emergency services and the affected community. The requirement poses a critical problem as most urban catchments are characterised by a fast hydrologic response to storm events. The approach used here to forecast rainfall over the Upper Paramatta River Catchment in Sydney is based on the application of a pattern recognition technique using an artificial neural network. It assumes that the future rainfall is a function of a discrete number of past spatial and temporal rainfall records; an important task, therefore, is the determination of the number of spatial and temporal rainfall records necessary for accurate prediction of future rainfall. The rainfall prediction model performed best when an optimal amount of spatial and temporal rainfall information was provided to the network.
dc.publisher AA Balkema Publishers
dc.title A Neutral Network Approach to Rainfall Forecasting in urban environments
dc.type Chapter
dc.parent Neural networks for hydrological modelling
dc.journal.number en_US
dc.publocation Leiden, The Netherlands en_US
dc.identifier.startpage 177 en_US
dc.identifier.endpage 195 en_US
dc.cauo.name FEIT.School of Civil and Environmental Engineering en_US
dc.conference Verified OK en_US
dc.for 040608 Surfacewater Hydrology
dc.for 090509 Water Resources Engineering
dc.personcode 997686
dc.percentage 60 en_US
dc.classification.name Water Resources Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords NA en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group /University of Technology Sydney/Strength - Technology in Wastewater Treatment
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history School of Civil and Environmental Engineering (ID: 334)
utslib.collection.history Closed (ID: 3)


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