Taxonomy of factors which influence heavy metal build-up on urban road surfaces
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2016
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Resumo |
Heavy metals build-up on urban road surfaces is a complex process and influenced by a diverse range of factors. Although numerous research studies have been conducted in the area of heavy metals build-up, limited research has been undertaken to rank these factors in terms of their influence on the build-up process. This results in limitations in the identification of the most critical factor/s for accurately estimating heavy metal loads and for designing effective stormwater treatment measures. The research study undertook an in-depth analysis of the factors which influence heavy metals build-up based on data generated from a number of different geographical locations around the world. Traffic volume was found to be the highest ranked factor in terms of influencing heavy metals build-up while land use was ranked the second. Proximity to arterial roads, antecedent dry days and road surface roughness has a relatively lower ranking. Furthermore, the study outcomes advances the conceptual understanding of heavy metals build-up based on the finding that with increasing traffic volume, total heavy metal build-up load increases while the variability decreases. The outcomes from this research study are expected to contribute to more accurate estimation of heavy metals build-up loads leading to more effective stormwater treatment design. |
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application/pdf |
Identificador | |
Publicador |
Elseiver |
Relação |
http://eprints.qut.edu.au/93580/1/Taxonomy%20of%20factors%20which%20influence%20heavy%20metal%20build-up%20on%20urban%20road%20surfaces.pdf DOI:10.1016/j.jhazmat.2016.02.026 Liu, An, Gunawardana, Chandima, Gunawardena, Janaka, Egodawatta, Prasanna, Ayoko, Godwin A., & Goonetilleke, Ashantha (2016) Taxonomy of factors which influence heavy metal build-up on urban road surfaces. Journal of Hazardous Materials, 310, pp. 20-29. |
Direitos |
Copyright 2016 Elsevier BV Licensed under the Creative Commons Attribution; Non-Commercial; No-Derivatives 4.0 International. DOI: 10.1016/j.jhazmat.2016.02.026 |
Fonte |
School of Chemistry, Physics & Mechanical Engineering; School of Civil Engineering & Built Environment; School of Earth, Environmental & Biological Sciences; Science & Engineering Faculty |
Palavras-Chave | #090508 Water Quality Engineering #Heavy metals #Traffic volume #Stormwater quality #Stormwater pollutant processes #Multivariate analysis |
Tipo |
Journal Article |