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- W4221086817 abstract "In this study, leaves of the evergreen holm oak Quercus ilex were used to assess airborne contamination of potentially toxic elements (PTEs) at five towns located on the slopes of the Mt. Amiata (central Italy), an area with a long history of mining and, more recently, an important district for the industrial exploitation of geothermal energy. PTE composition and covariance of washed and unwashed Q. ilex leaves of three different ages (6, 12 and 24 month-old) were used to identify atmospheric inputs of PTEs at residential areas, evaluate long-term adsorption and retention of PTEs by the leaves, thus providing an indication of potential human exposure. Moreover, the determination of foliar concentrations of major elements (C, N, S and P) allowed an assessment of the nutritional status of the investigated urban tree stands which excluded the existence of stress condition caused by air pollution or other disturbances. Results indicated that overall Pb, Cu, and Cd concentration were low in the investigated urban sites, if compared with similar studies conducted in larger Italian cities, denoting a low contribution of vehicular traffic to the atmospheric pathway. The five urban settlements were characterized by a specific profile of elements (Al, Ba, Hg and Sb) enriched in unwashed leaves, resulting from the distinct geochemical characteristics of the area and from diffuse (i.e., urban activity) and point sources of PTEs emission (i.e., brownfields, geothermal power plants). The latter sources primarily govern the distribution of Hg, whose contamination was found to be very localized close to a major abandoned mining area. Our data provided quantitative evidence of the spectrum of PTEs potentially impacting resident population and may prove useful in support of follow-up instrumental monitoring campaigns of air quality, as well as for human health and ecological risk assessments." @default.
- W4221086817 created "2022-04-03" @default.
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- W4221086817 date "2022-03-25" @default.
- W4221086817 modified "2023-09-26" @default.
- W4221086817 title "Air quality in post-mining towns: tracking potentially toxic elements using tree leaves" @default.
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- W4221086817 cites W1972518438 @default.
- W4221086817 cites W1976808054 @default.
- W4221086817 cites W2000648378 @default.
- W4221086817 cites W2002414526 @default.
- W4221086817 cites W2013945385 @default.
- W4221086817 cites W2019745065 @default.
- W4221086817 cites W2023757923 @default.
- W4221086817 cites W2027986980 @default.
- W4221086817 cites W2036281533 @default.
- W4221086817 cites W2037018838 @default.
- W4221086817 cites W2041838506 @default.
- W4221086817 cites W2046788237 @default.
- W4221086817 cites W2051722794 @default.
- W4221086817 cites W2065012190 @default.
- W4221086817 cites W2066939967 @default.
- W4221086817 cites W2074934507 @default.
- W4221086817 cites W2076014387 @default.
- W4221086817 cites W2088921227 @default.
- W4221086817 cites W2093615399 @default.
- W4221086817 cites W2115493329 @default.
- W4221086817 cites W2125662437 @default.
- W4221086817 cites W2148206141 @default.
- W4221086817 cites W2156331409 @default.
- W4221086817 cites W2161616580 @default.
- W4221086817 cites W222374937 @default.
- W4221086817 cites W2271463235 @default.
- W4221086817 cites W2281806342 @default.
- W4221086817 cites W2393175238 @default.
- W4221086817 cites W2473220426 @default.
- W4221086817 cites W2479794076 @default.
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- W4221086817 cites W2757152145 @default.
- W4221086817 cites W2761040273 @default.
- W4221086817 cites W2766857922 @default.
- W4221086817 cites W2770362822 @default.
- W4221086817 cites W2788102596 @default.
- W4221086817 cites W2884202426 @default.
- W4221086817 cites W2901967664 @default.
- W4221086817 cites W2907419971 @default.
- W4221086817 cites W2913515154 @default.
- W4221086817 cites W2913894837 @default.
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- W4221086817 cites W2955572041 @default.
- W4221086817 cites W2965456682 @default.
- W4221086817 cites W2975230998 @default.
- W4221086817 cites W2979669712 @default.
- W4221086817 cites W2981856627 @default.
- W4221086817 cites W2988034792 @default.
- W4221086817 cites W2994839862 @default.
- W4221086817 cites W2995182424 @default.
- W4221086817 cites W3005000094 @default.
- W4221086817 cites W3008328333 @default.
- W4221086817 cites W3009794490 @default.
- W4221086817 cites W3033725904 @default.
- W4221086817 cites W3034011982 @default.
- W4221086817 cites W3035915363 @default.
- W4221086817 cites W3040380596 @default.
- W4221086817 cites W3041750517 @default.
- W4221086817 cites W3044803487 @default.
- W4221086817 cites W3049512144 @default.
- W4221086817 cites W3093237959 @default.
- W4221086817 cites W3096561964 @default.
- W4221086817 cites W3099016189 @default.
- W4221086817 cites W3106937308 @default.
- W4221086817 cites W3121816500 @default.
- W4221086817 cites W3128045437 @default.
- W4221086817 cites W3135253361 @default.
- W4221086817 cites W3155396054 @default.
- W4221086817 cites W3157042680 @default.
- W4221086817 cites W3159972402 @default.
- W4221086817 cites W3164010242 @default.
- W4221086817 cites W3166507537 @default.
- W4221086817 cites W3167580251 @default.
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- W4221086817 doi "https://doi.org/10.1007/s10653-022-01252-6" @default.
- W4221086817 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35338402" @default.
- W4221086817 hasPublicationYear "2022" @default.
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