title: Characterising metal build-up on urban road surfaces.
abstract: Reliable approaches for predicting pollutant build-up are essential for accurate urban stormwater quality modelling. Based on the in-depth investigation of metal build-up on residential road surfaces, this paper presents empirical models for predicting metal loads on these surfaces. The study investigated metals commonly present in the urban environment. Analysis undertaken found that the build-up process for metals primarily originating from anthropogenic (copper and zinc) and geogenic (aluminium, calcium, iron and manganese) sources were different. Chromium and nickel were below detection limits. Lead was primarily associated with geogenic sources, but also exhibited a significant relationship with anthropogenic sources. The empirical prediction models developed were validated using an independent data set and found to have relative prediction errors of 12-50%, which is generally acceptable for complex systems such as urban road surfaces. Also, the predicted values were very close to the observed values and well within 95% prediction interval.
authors: Science and Engineering Faculty, Queensland University of Technology, GPO Box 2434, Brisbane QLD 4000, Australia.
authors: Prasanna
authors: P
authors: Egodawatta
authors: Abdul M
authors: AM
authors: Ziyath
authors: Ashantha
authors: A
authors: Goonetilleke
mesh_terms: D004784:Environmental Monitoring; D019015:Geologic Sediments / Q000737:chemistry*; D008670:Metals / Q000032:analysis*; D008956:Models, Chemical; D012989:Soil Pollutants / Q000032:analysis*; D014874:Water Pollutants, Chemical / Q000032:analysis
chemical_list: D008670:Metals; D012989:Soil Pollutants; D014874:Water Pollutants, Chemical