Influence of pollutant build-up on variability in wash-off from urban road surfaces
Wijesiri, Buddhi, Egodawatta, Prasanna, McGree, James, & Goonetilleke, Ashantha (2015) Influence of pollutant build-up on variability in wash-off from urban road surfaces. Science of the Total Environment, 527-528, pp. 344-350.
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Variability in the pollutant wash-off process is a concept which needs to be understood in-depth in order to better assess the outcomes of stormwater quality models, and thereby strengthen stormwater pollution mitigation strategies. Current knowledge about the wash-off process does not extend to a clear understanding of the influence of the initially available pollutant build-up on the variability of the pollutant wash-off load and composition. Consequently, pollutant wash-off process variability is poorly characterised in stormwater quality models, which can result in inaccurate stormwater quality predictions. Mathematical simulation of particulate wash-off from three urban road surfaces confirmed that the wash-off load of particle size fractions <150µm and >150µm after a storm event vary with the build-up of the respective particle size fractions available at the beginning of the storm event. Furthermore, pollutant load and composition associated with the initially available build-up of <150µm particles predominantly influence the variability in washed-off pollutant load and composition. The influence of the build-up of pollutants associated with >150µm particles on wash-off process variability is significant only for relatively shorter duration storm events.
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|Item Type:||Journal Article|
|Keywords:||Particle size, Process variability, Pollutant build-up, Pollutant wash-off, Stormwater quality, Stormwater pollutant processes|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Water Quality Engineering (090508)|
|Divisions:||Current > Schools > School of Civil Engineering & Built Environment
Current > Schools > School of Earth, Environmental & Biological Sciences
Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2015 Elsevier|
|Copyright Statement:||This is the author’s version of a work that was accepted for publication in Science of the Total Environment. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Science of the Total Environment, [VOL 527-528, (2015)] DOI: Science of the Total Environment|
|Deposited On:||19 May 2015 00:46|
|Last Modified:||31 Jul 2015 10:00|
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