T300 Urban Geochemistry
Wednesday, 28 September 2016
1:30 PM - 5:30 PM
Room 404
NANOPARTICLES IN ROAD DUST FROM IMPERVIOUS URBAN SURFACES: DISTRIBUTION, IDENTIFICATION, AND ENVIRONMENTAL IMPLICATIONS IN A FIRST STUDY OF ITS TYPE
Paper number: T300-7
Program: Technical Sessions
Time: 3:10 PM – 3:30 PM
Authors
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Yi YangEast China Normal University, Shanghai
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Marina VanceInstitute for Critical Technology and Appied Science, Blacksburg, VA
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Andrea TiwariInstitute for Critical Technology and Appied Science, Blacksburg, VA
Abstract
The objective of this study was to investigate the heavy metal and nanoparticle content of PM2.5 generated in the laboratory using a novel aerosolization technique, simulating the atmospheric dispersion of dust blown off a surface by wind, of 66 road dust samples collected throughout the mega-city of Shanghai (China). We characterized the samples using an array of techniques including inductively-coupled plasma mass spectrometry, aerosol size distribution measurements, and scanning and transmission electron microscopy coupled with elemental characterization and electron diffraction. Principal metal concentrations were plotted geospatially. Fe-, Pb-, Zn-, and Ba containing NPs were identified using electron microscopy, spectroscopy, and diffraction, and we tentatively identified most of them as either engineered, incidental, or naturally occurring. For example, dangerous Pb sulfide and sulfate NPs likely have an incidental origin and are also sometimes associated with Sn; we believe that these materials originated from an e-waste plant. Nanoparticles identified as most liking to be naturally occurring included hematite, ferrihydrite, schwertmannite, calcite, hydroxyapatite, and amorphous silica. Size distributions of most aerosolized samples presented a peak in the ultrafine range (<100 nm), with the smallest grain size down to below 20 nm. We estimate that 3.2 ± 0.7 μg mg−1 (or 3 ppt) of Shanghai road dust may become re-suspended in the form of PM2.5.
Geological Society of America Abstracts with Programs. Vol. 48, No. 7
doi: 10.1130/abs/2016AM-282563
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