JOURNAL OF HAZARDOUS MATERIALS | 卷:310 |
Taxonomy of factors which influence heavy metal build-up on urban road surfaces | |
Article | |
Liu, An1  Gunawardana, Chandima2  Gunawardena, Janaka3  Egodawatta, Prasanna4  Ayoko, Godwin A.4  Goonetilleke, Ashantha4  | |
[1] Shenzhen Univ, Coll Chem & Environm Engn, Shenzhen 518060, Peoples R China | |
[2] Univ Peradeniya, Fac Engn, Dept Civil Engn, Peradeniya 20400, Sri Lanka | |
[3] Logan City Council, POB 3226, Logan City Dc, Qld 4114, Australia | |
[4] QUT, Fac Sci & Engn, Brisbane, Qld 4001, Australia | |
关键词: Heavy metals; Traffic volume; Stormwater quality; Stormwater pollutant processes; Multivariate analysis; | |
DOI : 10.1016/j.jhazmat.2016.02.026 | |
来源: Elsevier | |
【 摘 要 】
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. (C) 2016 Elsevier B.V. All rights reserved.
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