Process variability of pollutant build-up on urban road surfaces
Wijesiri, Buddhi, Egodawatta, Prasanna, McGree, James, & Goonetilleke, Ashantha (2015) Process variability of pollutant build-up on urban road surfaces. Science of the Total Environment, 518-519, pp. 434-440.
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Knowledge of the pollutant build-up process is a key requirement for developing stormwater pollution mitigation strategies. In this context, process variability is a concept which needs to be understood in-depth. Analysis of particulate build-up on three road surfaces in an urban catchment confirmed that particles <150µm and >150µm have characteristically different build-up patterns, and these patterns are consistent over different field conditions. Three theoretical build-up patterns were developed based on the size-fractionated particulate build-up patterns, and these patterns explain the variability in particle behavior and the variation in particle-bound pollutant load and composition over the antecedent dry period. Behavioral variability of particles <150µm was found to exert the most significant influence on the build-up process variability. As characterization of process variability is particularly important in stormwater quality modeling, it is recommended that the influence of behavioral variability of particles <150µm on pollutant build-up should be specifically addressed. This would eliminate model deficiencies in the replication of the build-up process and facilitate the accounting of the inherent process uncertainty, and thereby enhance the water quality predictions.
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|Item Type:||Journal Article|
|Keywords:||Particle size, Particle behavior, Pollutant build-up, 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 B.V.|
|Copyright Statement:||NOTICE: 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, Volumes 518–519, (15 June 2015), DOI: 10.1016/j.scitotenv.2015.03.014|
|Deposited On:||15 Mar 2015 22:53|
|Last Modified:||22 Mar 2015 04:30|
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