2013
DOI: 10.1016/j.scitotenv.2013.04.047
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Diagnosing the traffic impact on roadside soils through a multianalytical data analysis of the concentration profiles of traffic-related elements

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Cited by 74 publications
(36 citation statements)
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“…In addition, high exposure levels of REEs may lead to liver function decline (Wei et al 2013). Due to the rapid development of modern technology, the need of these elements has increased significantly in industry, and consequently anthropogenic REEs could emerge as a severe environmental problem in cities and significant source of contamination of urban soils (Carrero et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…In addition, high exposure levels of REEs may lead to liver function decline (Wei et al 2013). Due to the rapid development of modern technology, the need of these elements has increased significantly in industry, and consequently anthropogenic REEs could emerge as a severe environmental problem in cities and significant source of contamination of urban soils (Carrero et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Many studies have reported that heavy metal concentrations are positively related to traffic volume [5,6]. A recent observational study indicated that the traffic-related heavy metals accumulation in roadside soils decrease with distance to the road only in old roads that have undergone the traffic impact for a long time, but not in new roads or roads with low traffic density [37]. …”
Section: Resultsmentioning
confidence: 99%
“…Finally, mathematical models were developed using linear regression to predict heavy metal concentrations on Bogota roads. Table 2 presents a review of the international literature (22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40) on heavy metal concentrations associated with road sediment for different traffic intensities between 1980 and 2015. A cluster analysis allowed the identification of four clusters: 1) zinc and copper concentrations, 2) lead concentration, 3) traffic density, and 4) fraction of size analyzed.…”
Section: Discussionmentioning
confidence: 99%