2021
DOI: 10.1016/j.atmosenv.2021.118188
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Urban contamination sources in tunnel dusts from São Paulo city: Elemental and isotopic characterization

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Cited by 10 publications
(7 citation statements)
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“…Factor 1 presented higher contributions of crustal elements (Al, Si, Ti, Fe, Ca, and K), linked to road dust, and lower contributions of BC, Zn, Pb, S, and Mn species, associated with road traffic. This species profile is in line with CM (Supplementary Figure 1) and PCA (Supplementary Table 3) analysis as well as studies performed in other cities and current road tunnels characterization carried in the São Paulo City (Amato et al, 2011;Gunawardana et al, 2012;Hetem and Andrade, 2016;Jithin and Srimuruganandam, 2020;Nory et al, 2021). It is important to mention that urban road dust is associated with road traffic, which combines contributions of vehicular non-exhaust emissions (tire wear and brakes abrasion) and road pavement/furniture (Thorpe and Harrison, 2008).…”
Section: Resultssupporting
confidence: 86%
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“…Factor 1 presented higher contributions of crustal elements (Al, Si, Ti, Fe, Ca, and K), linked to road dust, and lower contributions of BC, Zn, Pb, S, and Mn species, associated with road traffic. This species profile is in line with CM (Supplementary Figure 1) and PCA (Supplementary Table 3) analysis as well as studies performed in other cities and current road tunnels characterization carried in the São Paulo City (Amato et al, 2011;Gunawardana et al, 2012;Hetem and Andrade, 2016;Jithin and Srimuruganandam, 2020;Nory et al, 2021). It is important to mention that urban road dust is associated with road traffic, which combines contributions of vehicular non-exhaust emissions (tire wear and brakes abrasion) and road pavement/furniture (Thorpe and Harrison, 2008).…”
Section: Resultssupporting
confidence: 86%
“…PMF factors related to road dust/traffic (non-exhaust) showed significant (p < 0.05) positive correlation (R = 0.63) with δ 66 Zn JMC values (Figure 3A). This observation is in line with heavier Zn isotopes (δ 66 Zn JMC > 0.00‰) found in the road dust and vehicular non-exhaust samples (Dong et al, 2017;Souto-Oliveira et al, 2018;Nory et al, 2021). PMF factors attributed to vehicular exhaust showed negative correlation with δ 66 Zn JMC values (Figure 3B), in accordance with preliminary lighter Zn isotopes signatures (δ 66 Zn JMC > −0.60 and <0.00‰) characterized in the vehicular exhaust from São Paulo City (Gioia et al, 2008).…”
Section: Validation Of Pmf Source Identification By Isotopic Fingerprintssupporting
confidence: 76%
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“…From all elements, which are present in particles emission, no matter if particles emission originate from the wear of tires, from the wear of road, from the wear of brakes, or from emission of diesel engines, Zn and Si are dominant elements which originate from the wear of tires. 54 According to the research of Nory, 86 the wear of tires products mostly consist Pb and Zn, but besides these two heavy metals Cd can also be found in the wear of tires products. 20 According to Ma et al 87 the products mostly consist of Zn, Ni, and Cr, while Al, Mn, Fe, Cu, Cd, and Pb can be found in smaller amounts, while according to Kreider et al 52 they mostly consist of Zn, Si and S, and Al, Sb, Ca, Cu, Fe, Mg, Mn, Ni, K, Na, Ti and V can be found in smaller amounts.…”
Section: Particles Compositionmentioning
confidence: 99%
“…Urban surface dust is a kind of solid particle deposited on artificial pavement and various buildings due to atmospheric deposition, and dust could act as an important vector for heavy metals and various kinds of pollutants, given that dust is at the different environmental interface and important source-sink effects (Renata et al 2021). Therefore, many scholars have studied the sources and spatial distribution for heavy metals in dust, and most of the findings show that the sources for heavy metals in dust are mainly related to vehicle exhaust emissions, wear and tear for the vehicle itself and aging for pavement materials, while the spatial distribution is related to the source of pollution (Han et al 2020;Yu et al 2021;Jose et al, 2021).…”
Section: Introductionmentioning
confidence: 99%