2018
DOI: 10.1016/j.envpol.2018.04.055
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Magnetic and SEM-EDS analyses of Tilia cordata leaves and PM10 filters as a complementary source of information on polluted air: Results from the city of Parma (Northern Italy)

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Cited by 10 publications
(6 citation statements)
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“…Inner park location 3 shows a particle density comparable with the roadside locations. The observed particle densities are similar to those previously reported for PM deposition on Tilia cordata leaves, along a 5months sampling campaign performed in Parma (Mantovani et al, 2018), while they are large if compared with those obtained by using Platanus acerifolia as sampling species (Baldacchini et al 2017). In this latter case, values 9 as high as 10 5 particles/mm 2 were observed only in critically polluted and dry cities (i.e., Yerevan), while in Naples the leaf particle density was about 2-3 x 10 4 particles/mm 2 .…”
Section: Resultssupporting
confidence: 88%
“…Inner park location 3 shows a particle density comparable with the roadside locations. The observed particle densities are similar to those previously reported for PM deposition on Tilia cordata leaves, along a 5months sampling campaign performed in Parma (Mantovani et al, 2018), while they are large if compared with those obtained by using Platanus acerifolia as sampling species (Baldacchini et al 2017). In this latter case, values 9 as high as 10 5 particles/mm 2 were observed only in critically polluted and dry cities (i.e., Yerevan), while in Naples the leaf particle density was about 2-3 x 10 4 particles/mm 2 .…”
Section: Resultssupporting
confidence: 88%
“…The dominance of magnetite-like minerals on the magnetic fraction seems to be the hallmark of urban PM emissions [66][67][68][69]. Indeed, this was reported in numerous cities (e.g., Mitchell and Maher [27] in Lancaster, UK, Muxworthy et al [26] in Munich, Germany, Mantovani et al [33] in Parma, Italy, Saragnese et al [30] in Torino, Italy, Jordanova et al [32] in Bulgaria, Castañeda-Miranda et al [25] in Quéretaro, Mexico, Chaparro et al [70] in Mar del Plata, Argentina and Shu et al [37] in Shanghai, China). When reported, S-ratios are generally close to 1.…”
Section: Discussionmentioning
confidence: 88%
“…Mitchell and Maher [27] reported a strong correlation between SIRM (normalized by filter area) of PM10 filters and its PM10 concentrations (R = 0.88). Mantovani et al [33] obtained correlations with R = 0.34 between the area normalized SIRM for the PM10 filters and concentration of PM10 from a nearby weather station and R = 0.50 between the area normalized SIRM in PM10 filters in comparison to PM2.5 concentration from the same nearby weather station. The time series of the concentration parameters (EC and PM2.5) presented in this work displays some similar trends to the time series of the magnetic parameters in air (SIRM V and ARM V ), although the magnetic parameters have a greater variability, with periods where they do not follow the concentration parameters.…”
Section: Discussionmentioning
confidence: 99%
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“…Magnetometry (magnetic techniques or methods), which is widely used for rock-magnetic studies, is an inexpensive, fast, and precise technique for assessing and monitoring pollution in different environmental systems (Kapper et al 2020 ), including soil (e.g., Xia et al 2014 ; Szuszkiewicz et al 2015 ; Rachwał et al 2017 ; Wang et al 2018a , b ; Magiera et al 2021 , 2023 ); sediments of streams, rivers, lakes, and estuaries (e.g., Prajith et al 2015 ; Zhang et al 2018 ; Wang et al 2018a , b ; Harikrishnan et al 2018 ; Szczepaniak-Wnuk et al 2020 ); and air (e.g., Saragnese et al 2011 ; Petrovský et al 2020 ). Magnetic methods have been used to estimate atmospheric air pollution levels by applying them to airborne particles collected on filters (e.g., Muxworthy et al 2002 , 2003 ; Sagnotti et al 2006 ; Górka-Kostrubiec et al 2012 ; Mantovani et al 2018 ), dust captured on vegetation (e.g., Hofman et al 2017 ; Mantovani et al 2018 ; Winkler et al 2020 ), and the dust settled on the surface of roads, soil, and snow-covered road sites (e.g., Bućko et al 2011 ; Gonet and Maher 2019 ; Gonet et al 2021 ).…”
Section: Introductionmentioning
confidence: 99%