Use of physicochemical signatures to assess the sources of metals in urban road dust


Autoria(s): Mummullage, Sandya; Egodawatta, Prasanna; Ayoko, Godwin A.; Goonetilleke, Ashantha
Data(s)

15/01/2016

Resumo

Road deposited dust is a complex mixture of pollutants derived from a wide range of sources. Accurate identification of these sources is seminal for effective source-oriented control measures. A range of techniques such as enrichment factor analysis (EF), principal component analysis (PCA) and hierarchical cluster analysis (HCA) are available for identifying sources of complex mixtures. However, they have multiple deficiencies when applied individually. This study presents an approach for the effective utilisation of EF, PCA and HCA for source identification, so that their specific deficiencies on an individual basis are eliminated. EF analysis confirmed the non-soil origin of metals such as Na, Cu, Cd, Zn, Sn, K, Ca, Sb, Ba, Ti, Ni and Mo providing guidance in the identification of anthropogenic sources. PCA and HCA identified four sources, with soil and asphalt wear in combination being the most prominent sources. Other sources were tyre wear, brake wear and sea salt.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/90185/

Publicador

Elsevier B.V.

Relação

http://eprints.qut.edu.au/90185/1/Use%20of%20physicochemical%20signatures%20to%20assess%20the%20sources%20of%20metals%20in%20urban%20road%20dust.pdf

DOI:10.1016/j.scitotenv.2015.10.032

Mummullage, Sandya, Egodawatta, Prasanna, Ayoko, Godwin A., & Goonetilleke, Ashantha (2016) Use of physicochemical signatures to assess the sources of metals in urban road dust. Science of the Total Environment, 541, pp. 1303-1309.

Direitos

Copyright 2015 Elsevier B.V.

This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/

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 #090701 Environmental Engineering Design #090702 Environmental Engineering Modelling #Urban road dust #Source identification #Enrichment factor analysis #Principal component analysis #Hierarchical cluster analysis #Stormwater quality
Tipo

Journal Article