title: Influence of uncertainty inherent to heavy metal build-up and wash-off on stormwater quality.
abstract: Uncertainty inherent to heavy metal build-up and wash-off stems from process variability. This results in inaccurate interpretation of stormwater quality model predictions. The research study has characterised the variability in heavy metal build-up and wash-off processes based on the temporal variations in particle-bound heavy metals commonly found on urban roads. The study outcomes found that the distribution of Al, Cr, Mn, Fe, Ni, Cu, Zn, Cd and Pb were consistent over particle size fractions <150 μm and >150 μm, with most metals concentrated in the particle size fraction <150 μm. When build-up and wash-off are considered as independent processes, the temporal variations in these processes in relation to the heavy metals load are consistent with variations in the particulate load. However, the temporal variations in the load in build-up and wash-off of heavy metals and particulates are not consistent for consecutive build-up and wash-off events that occur on a continuous timeline. These inconsistencies are attributed to interactions between heavy metals and particulates <150 μm and >150 μm, which are influenced by particle characteristics such as organic matter content. The behavioural variability of particles determines the variations in the heavy metals load entrained in stormwater runoff. Accordingly, the variability in build-up and wash-off of particle-bound pollutants needs to be characterised in the description of pollutant attachment to particulates in stormwater quality modelling. This will ensure the accounting of process uncertainty, and thereby enhancing the interpretation of the outcomes derived from modelling studies.
authors.affiliation: Science and Engineering Faculty, Queensland University of Technology (QUT), GPO Box 2434, Brisbane, 4001, Queensland, Australia. Electronic address: b.mahappukankanamalage@qut.edu.au.
authors.forename: Buddhi
authors.initials: B
authors.lastname: Wijesiri
authors.affiliation: Science and Engineering Faculty, Queensland University of Technology (QUT), GPO Box 2434, Brisbane, 4001, Queensland, Australia. Electronic address: p.egodawatta@qut.edu.au.
authors.forename: Prasanna
authors.initials: P
authors.lastname: Egodawatta
authors.affiliation: Science and Engineering Faculty, Queensland University of Technology (QUT), GPO Box 2434, Brisbane, 4001, Queensland, Australia. Electronic address: james.mcgree@qut.edu.au.
authors.forename: James
authors.initials: J
authors.lastname: McGree
authors.affiliation: Science and Engineering Faculty, Queensland University of Technology (QUT), GPO Box 2434, Brisbane, 4001, Queensland, Australia. Electronic address: a.goonetilleke@qut.edu.au.
authors.forename: Ashantha
authors.initials: A
authors.lastname: Goonetilleke
mesh_terms: D004784:Environmental Monitoring; D019216:Metals, Heavy / Q000032:analysis*; D008962:Models, Theoretical; D011793:Queensland; D011891:Rain / Q000737:chemistry*; D035501:Uncertainty; D014872:Water Movements; D014874:Water Pollutants, Chemical / Q000032:analysis*; D060753:Water Quality
chemical_list: D019216:Metals, Heavy; D014874:Water Pollutants, Chemical
keywords: Heavy metals; Pollutant build-up; Pollutant wash-off; Process uncertainty; Stormwater pollutant processes; Stormwater quality