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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/21069
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dc.contributor.authorGoonetilleke, Ashantha-
dc.date.accessioned2026-04-22T06:22:36Z-
dc.date.available2026-04-22T06:22:36Z-
dc.date.issued2011-
dc.identifier.urihttps://eprints.qut.edu.au/40815/-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/21069-
dc.description.abstractThe variability of input parameters is the most important source of overall model uncertainty. Therefore, an in-depth understanding of the variability is essential for uncertainty analysis of stormwater quality model outputs. This paper presents the outcomes of a research study which investigated the variability of pollutants build-up characteristics on road surfaces in residential, commercial and industrial land uses. It was found that build-up characteristics vary highly even within the same land use. Additionally, industrial land use showed relatively higher variability of maximum build-up, build-up rate and particle size distribution, whilst the commercial land use displayed a relatively higher variability of pollutant-solid ratio. Among the various build-up parameters analysed, D50 (volume-median-diameter) displayed the relatively highest variability for all three land uses.en_US
dc.language.isoenen_US
dc.publisherEngineers Australiaen_US
dc.subjectCivil engineeringen_US
dc.subjectStormwater quality modellingen_US
dc.subjectPollutant build-up variabilityen_US
dc.subjectLand use characteristicsen_US
dc.subjectParticle size distributionen_US
dc.titleVariability of input parameters related to pollutants build-up in stormwater quality modellingen_US
dc.typeArticleen_US
Appears in Collections:Department of Civil Engineering

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