A HRTEM/EDX approach to identification of the source of dust particles on urban tree leaves

Lu, Shengyong; Zheng, Yuan-Ge; Bai, Shaoyuan

doi:10.1016/j.atmosenv.2008.04.039

Cited by 71 publications

(22 citation statements)

References 35 publications

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“…These data allowed us to estimate the total collected volume of the different elements on sampled leaves and the corresponding upscale on the leaf area basis. Previous studies have applied SEM/EDX analysis for in situ PM monitoring on the leaves of trees and shrubs (Lorenzini et al, 2006;Lu et al, 2008;Sawidis et al, 2011;Simon et al, 2014;Tomašević et al, 2005), usually associated with atomic absorption measurements. However, our methodology focused on quantifying the insoluble part of PM, by washing the leaves (Dzierzanowski et al, 2011;Freer-Smith et al, 2005;Sgrigna et al, 2015) and analyzing the residue of the wash off on cellulose filter.…”

Section: Scanning Electron Microscopy and Energy-dispersive X-ray Spementioning

confidence: 99%

Characterization of leaf-level particulate matter for an industrial city using electron microscopy and X-ray microanalysis

Sgrigna

Baldacchini

Esposito

et al. 2016

Science of The Total Environment

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This study reports application of monitoring and characterization protocol for particulate matter (PM) deposited on tree leaves, using Quercus ilex as a case study species. The study area is located in the industrial city of Terni in central Italy, with high PM concentrations. Four trees were selected as representative of distinct pollution environments based on their proximity to a steel factory and a street. Wash off from leaves onto cellulose filters were characterized using scanning electron microscopy and energy dispersive X-ray spectroscopy, inferring the associations between particle sizes, chemical composition, and sampling location.Modeling of particle size distributions showed a tri-modal fingerprint, with the three modes centered at 0.6 (factory related), 1.2 (urban background), and 2.6 μm (traffic related). Chemical detection identified 23 elements abundant in the PM samples. Principal component analysis recognized iron and copper as sourcespecific PM markers, attributed mainly to industrial and heavy traffic pollution respectively. Upscaling these results on leaf area basis provided a useful indicator for strategic evaluation of harmful PM pollutants using tree leaves.

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Section: Scanning Electron Microscopy and Energy-dispersive X-ray Spementioning

confidence: 99%

Characterization of leaf-level particulate matter for an industrial city using electron microscopy and X-ray microanalysis

Sgrigna

Baldacchini

Esposito

et al. 2016

Science of The Total Environment

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“…Instead, the association TC-Mg-Ca-Mn is obviously related to carbonate compositions. These minerals are commonly found in atmospheric particulate and road dust samples, and are usually used as tracers for re-suspended soil dust, handling of construction materials and building projects (Lu et al, 2008;Yuan et al, 2008;Arsene et al, 2011;Bardelli et al, 2011;Cuccia et al, 2011;Jancsek-Turóczi et al, 2013;Valotto et al, 2015). In this work, the most likely sources of carbonate are the construction works related to the airport expansion, even if the wear of aggregates used in the asphalt concrete for paving the road and the soil dust resuspension cannot be ruled out.…”

Section: Discussionmentioning

confidence: 99%

Characterization and preliminary risk assessment of road dust collected in Venice airport (Italy)

Valotto

Zannoni

Rampazzo

et al. 2018

Journal of Geochemical Exploration

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Road dust is a non-exhaust source that can significantly contribute to atmospheric particulate by resuspension. Beside the issue of the overcoming of guidelines limits for the air quality, the characterization of this matrix is of crucially high interest for the inherent toxicity of resuspended particles, that can act as carriers of heavy metals and toxic-carcinogenic components.In this paper, road dust collected in the Venice international airport is characterized with a multi-technique approach in order to identify the main pollutant sources and to highlight the differences between airside/ landside places. The most polluted sites are identified and a preliminary risk assessment is performed taking into account ingestion, dermal intake and inhalation of fugitive particulate pathways. Specifically, the main sources are related to construction activities, anti-icing safety procedures, and brake, tire and road wear; streets are the most polluted landside places; PAHs, Na, Al, Cu, Zn, Ag, Cd are more concentrated in airside area; as regards the risk assessment As, BaP, Cr, Sb, BaA, and BbF are the most critical pollutants.

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“…Several studies have shown significant correlation between the concentration of heavy metals and magnetic parameters (Lu et al, 2008;Salo et al, 2012). Recently, the applicability of magnetic biomonitoring has been increasingly applied in the evaluation of anthropogenic pollution.…”

Section: Introductionmentioning

confidence: 99%

“…The complexity of dust particles makes their characterization and source identification difficult. The source of dust particles has a particular importance for the evaluation of atmospheric pollution (Lu et al, 2008). Therefore, studies of dust are important for the determination of the origin, distribution, environmental damage and health effects of heavy metals (Lu et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

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Source identification of heavy metals in atmospheric dust using Platanus orientalis L. leaves as bioindicator

Norouzi¹,

Khademi²

2015

EJSS

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Article Info Received : 01.07.2014 Accepted : 19.12.2014 Studies on atmospheric dust have been limited by the high cost of instrumental monitoring methods and also sampling difficulties. The use of organisms acting as bioaccumulators has recently been proposed. In this study, the leaves of Platanus orientalis L., as a possible biomonitor of heavy metals in atmospheric dust, were evaluated to understand the likely source(s) of pollution in Isfahan, Iran. Concentration of Zn, Cu, Ni and Mn and Magnetic susceptibility (χlf) were determined in washed (WL) and unwashed leaves (UL), monthly sampled from May to Nov., 2012. By subtracting the amount of metal concentrations and χlf in UL and WL, the amount of these parameters in dust deposited on the leaves (UL-WL) were calculated. Enrichment factor analysis (EF), correlation coeficient, principal component analysis (PCA) and cluster analysis (CA) on the UL-WL data were employed to trace the heavy metals sources. Results showed that the metal concentration in UL and WL in primary sampling times was not statistically different. As time passed, this difference became more noticeable. Seasonal accumulation trends of elements concentration in UL-WL, referred to as accumulative biomonitors showing the accumulation of dust on the leaves are considerable and the contamination of plants by metal occurs mainly by retention of particulate matter. All the heavy metals are well correlated with χlf, indicating the potential of magnetic measurement as an inexpensive and less laborious method to estimate heavy metals. Cu and Zn exhibited a very strong correlation with each other and the highest correlation with χlf, suggesting an anthropogenic nature of these two metals. High EF of Cu and Zn showed that anthropogenic sources contribute a substantial amount of these metals to dust deposited on leaves. Whereas, less EF for Mn and Ni shows that natural source and local polluted soils might be the main origins of these metals. PCA results showed 2 principal components. Factor 1 with significant loading for Cu and Zn and factor 2 for Mn and Ni. In an agreement with the PCA and correlation results, CA showed strong clusters for Zn and Cu and also for Mn and Ni. Zn seems to originate from vehicular emissions, oil combustion and wear and tear of vehicle tires. Cu seems to originate from industrial processes, traffic and combustion of fossil fuels. Polluted soils in the area appear to be the main natural source for Mn and Ni in dust, while anthropogenic activities could be considered as the second origin

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A HRTEM/EDX approach to identification of the source of dust particles on urban tree leaves

Cited by 71 publications

References 35 publications

Characterization of leaf-level particulate matter for an industrial city using electron microscopy and X-ray microanalysis

Characterization of leaf-level particulate matter for an industrial city using electron microscopy and X-ray microanalysis

Characterization and preliminary risk assessment of road dust collected in Venice airport (Italy)

Source identification of heavy metals in atmospheric dust using Platanus orientalis L. leaves as bioindicator

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