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dc.contributor.authorCooper, M.R.
dc.contributor.authorFernando, Achela
dc.date.accessioned2012-06-13T23:09:03Z
dc.date.available2012-06-13T23:09:03Z
dc.date.issued2009-07
dc.identifier.isbn978-0-9758400-7-8
dc.identifier.urihttps://hdl.handle.net/10652/1891
dc.description.abstractIt is well known that the accurate representation of spatial variation of rainfall within a catchment is important in achieving reliable outcomes from stormwater models. Various guidelines recommend different densities of raingauge distribution to sufficiently capture and represent the rainfall variation within catchments. The cost of installing a rain-gauge may be insignificant compared to the benefit to be gained from more accurate modelling outcomes. To observe and quantify the effect of raingauge distribution and to understand the limitations of guidelines, a modelling study was undertaken. The study involved collection of data from a network of raingauges and a flow gauge in a small stormwater catchment, development and calibration of a stormwater model for the catchment, and the evaluation of the sensitivity of the model to spatially distribution of rainfall data. Three methods of rainfall data assimilation were tested with varying raingauge densities. The outcome of this modelling study confirms that the difference between the actual and the model-simulated peak flow from the catchment increased with decreasing raingauge density. The paper summarises the quantitative results obtained in this modelling study and concludes that the most robust stormwater model will be that calibrated using rainfall data gathered from within the catchment being modelled. Using a dense network of raingauges and assigning rainfall data from the nearest gauge, rather than station averaged and/or Thiesson polygon weighted sum, from a network of gauges emerges as the best approach for accurately estimating runoff peak from this small urban catchment. It is proposed that much greater emphasis should be placed on gathering adequate rainfall data to achieve specific modelling objectives given that the installation and operation of a raingauge is relatively inexpensive.en_NZ
dc.language.isoenen_NZ
dc.publisherThe Modelling and Simulation Society of Australia and New Zealand Inc. and the International Association for Mathematics and Computers in Simulationen_NZ
dc.relation.urihttp://www.mssanz.org.au/modsim09/I8/cooper.pdfen_NZ
dc.rightsCopyright © 2009 The Modelling and Simulation Society of Australia and New Zealand Inc. and the International Association for Mathematics and Computers in Simulation. All rights reserved.en_NZ
dc.subjectRainfall-runoff modelsen_NZ
dc.subjectMOUSE®en_NZ
dc.subjectRaingauge densityen_NZ
dc.titleThe effect of the raingauge distribution on stormwater modelsen_NZ
dc.typeConference Contribution - Paper in Published Proceedingsen_NZ
dc.rights.holderThe Modelling and Simulation Society of Australia and New Zealand Inc. and the International Association for Mathematics and Computers in Simulationen_NZ
dc.subject.marsden090509 Water Resources Engineeringen_NZ
dc.identifier.bibliographicCitationCooper, M., & Fernando, A., (2009). The effect of the raingauge distribution on stormwater models. In In R.S. Anderssen, R.D. Braddock, & L.T.H. Newham (Eds.). 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation. (pp. 3500-3506.) Available from http://www.mssanz.org.au/modsim09/I8/cooper.pdfen_NZ
unitec.institutionUnitec Institute of Technologyen_NZ
unitec.publication.spage3500en_NZ
unitec.publication.lpage3506en_NZ
unitec.publication.title18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulationen_NZ
unitec.conference.title18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulationen_NZ
unitec.conference.orgModelling and Simulation Society of Australia and New Zealand and International Association for Mathematics and Computers in Simulationen_NZ
unitec.conference.locationCairns, Australiaen_NZ
unitec.conference.sdate2009-07-13
unitec.conference.edate2009-07-17
unitec.peerreviewedyesen_NZ
unitec.identifier.roms44563


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