Analysis of heavy metals in road-deposited sediments
(2006) Analysis of heavy metals in road-deposited sediments. Analytica Chimica Acta 571(2):pp. 270-278.
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Abstract
Road-deposited sediments were analysed for heavy metal concentrations at three different landuses (residential, industrial, commercial) in Queensland State, Australia. The sediments were collected using a domestic vacuum cleaner which was proven to be highly efficient in collecting sub-micron particles. Five particle sizes were analysed separately for eight heavy metal elements (Zn, Fe, Pb, Cd, Cu, Cr, Al and Mn). At all sites, the maximum concentration of the heavy metals occurred in the 0.45-75μm particle size range, which conventional street cleaning services do not remove efficiently. Multicriteria decision making methods (MCDM), PROMETHEE and GAIA, were employed in the data analysis. PROMETHEE, a non-parametric ranking analysis procedure, was used to rank the metal contents of the sediments sampled at each site. The most polluted site and particle size range were the industrial site and the 0.45-75μm range respectively. Although the industrial site displayed the highest metal concentrations, the highest heavy metal loading coincided with the highest sediment load, which occurred at the commercial site. GAIA, a special form of Principal Component Analysis, was applied to determine correlations between the heavy metals and particle size ranges and also to assess possible correlation with Total Organic Carbon (TOC). The GAIA-planes revealed that irrespective of the site, most of the heavy metals are adsorbed to sediments below 150μm. A weak correlation was found between Zn, Mn and TOC at the commercial site. This could lead to higher bioavailability of these metals through complexation reactions with the organic species in the sediments.
| Item Type: | Journal Article |
|---|---|
| Status: | Published |
| Keywords: | Heavy metals; PROMETHEE and GAIA; urban water quality; chemometrics; MCDM methods |
| Subjects: | 250000 Chemical Sciences > 250400 Analytical Chemistry > 250408 Chemometrics 290000 Engineering and Technology > 290800 Civil Engineering > 290802 Water and Sanitary Engineering 290000 Engineering and Technology > 291100 Environmental Engineering > 291101 Environmental Engineering Modelling 290000 Engineering and Technology > 291100 Environmental Engineering > 291103 Environmental Engineering Design |
| ID Code: | 4696 |
| Deposited By: | Goonetilleke, Ashantha |
| Deposited On: | 18 July 2006 |
| Alternative Locations: | http://dx.doi.org/10.1016/j.aca.2006.04.064 |
| Copyright Owner: | Copyright 2006 Elsevier |
| Copyright Statement: | Reproduced in accordance with the copyright policy of the publisher. |