Literature DB >> 26476069

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

Sandya Mummullage1, Prasanna Egodawatta2, Godwin A Ayoko1, Ashantha Goonetilleke1.   

Abstract

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.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Enrichment factor analysis; Hierarchical cluster analysis; Principal component analysis; Source identification; Stormwater quality; Urban road dust

Mesh:

Substances:

Year:  2015        PMID: 26476069     DOI: 10.1016/j.scitotenv.2015.10.032

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Status, source identification, and health risks of potentially toxic element concentrations in road dust in a medium-sized city in a developing country.

Authors:  S M Praveena; A Z Aris
Journal:  Environ Geochem Health       Date:  2017-09-19       Impact factor: 4.609

2.  Physicochemical properties and toxic elements in bus stop dusts from Qingyang, NW China.

Authors:  Yongfu Wu; Xinwei Lu
Journal:  Sci Rep       Date:  2018-08-22       Impact factor: 4.379

  2 in total

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