Assessing uncertainty in pollutant build-up and wash-off processes

Wijesiri, Buddhi, Egodawatta, Prasanna, McGree, James, & Goonetilleke, Ashantha (2016) Assessing uncertainty in pollutant build-up and wash-off processes. Environmental Pollution, 212, pp. 48-56.

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Assessing build-up and wash-off process uncertainty is important for accurate interpretation of model outcomes to facilitate informed decision making for developing effective stormwater pollution mitigation strategies. Uncertainty inherent to pollutant build-up and wash-off processes influences the variations in pollutant loads entrained in stormwater runoff from urban catchments. However, build-up and wash-off predictions from stormwater quality models do not adequately represent such variations due to poor characterisation of the variability of these processes in mathematical models. The changes to the mathematical form of current models with the incorporation of process variability, facilitates accounting for process uncertainty without significantly affecting the model prediction performance. Moreover, the investigation of uncertainty propagation from build-up to wash-off confirmed that uncertainty in build-up process significantly influences wash-off process uncertainty. Specifically, the behaviour of particles <150µm during build-up primarily influences uncertainty propagation, resulting in appreciable variations in the pollutant load and composition during a wash-off event.

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3 citations in Scopus
3 citations in Web of Science®
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ID Code: 93594
Item Type: Journal Article
Refereed: Yes
Keywords: Particle size, Process uncertainty, Pollutant build-up, Pollutant wash-off, Stormwater pollutant processes, Stormwater quality
DOI: 10.1016/j.envpol.2016.01.051
ISSN: 0269-7491
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Water Quality Engineering (090508)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Facilities: Central Analytical Research Facility
Copyright Owner: Copyright 2016 Elsevier Ltd.
Copyright Statement: Licensed under the Creative Commons Attribution; Non-Commercial; No-Derivatives 4.0 International. DOI: 10.1016/j.envpol.2016.01.051
Deposited On: 10 Mar 2016 01:59
Last Modified: 22 Jun 2017 14:49

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