Field Portable X-Ray Fluorescence (pXRF) Spectrometry for Chemical Dust Source Characterization: Investigations of Natural and Mining-Related Dust Sources in Greenland (Kangerlussuaq Area)

被引:0
作者
Jens Søndergaard
Christian Juncher Jørgensen
机构
[1] Aarhus University,Department of Bioscience
来源
Water, Air, & Soil Pollution | 2021年 / 232卷
关键词
Environment; Soil; Pollution; Metals; XRF; Olympus Vanta;
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学科分类号
摘要
In this study, we evaluate the use of field portable X-ray fluorescence (pXRF) as a screening tool for dust source characterisation at two sites in Greenland, a natural site near Kangerlussuaq influenced by dust generated by the Greenland Ice Sheet and an anorthosite mine site located 80 km from Kangerlussuaq. Measurements of ground surface samples were done ex-situ in LDPE plastic bags and in-situ at selected locations. Ex-situ measurements were done both before and after drying of samples to evaluate the effect of water content. Further, the effect of XRF cup films and LDPE bag walls was measured to enable element-specific corrections for signal attenuation of the pXRF measurements. Accuracy and precision were evaluated using a matrix blank and three different soil certified reference materials (CRMs). Finally, pXRF data from the two sites were analysed statistically by principal component analysis (PCA) and linear discriminant analysis (LDA) for the purpose of discriminating between dust sources. The pXRF results showed detectable concentrations of the elements: Al, Si, K, Ca, Fe, Sr, Zr and Ba in all samples (and P, Mn, Zn, Rb, Y, Nb, Ta, Pb and Th in some samples). Moreover, the results showed good accuracies for 21 elements in the CRMs. The PCA/LDA plots based on the pXRF data provided a good tool to discriminate between natural and mining-related dust sources and also between some specific mining-related sources. Altogether, this demonstrates that pXRF combined with multivariate statistics can be an adequate tool for fast cost-effective dust source characterisation.
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[21]  
King J(2019)The response of plant photosynthesis and stomatal conductance to fine particulate matter (PM2.5) based on leaf factors analyzing Journal of Plant Biology 62 120-96
[22]  
Hayes PL(2016)Calibration of handheld X-ray fluorescence (XRF) equipment for optimum determination of elemental concentrations in sediment samples Talanta 161 359-1222
[23]  
Bosq M(2006)Geochemical variations in aeolian mineral particles from the Sahara-Sahel Dust Corridor Chemosphere 65 261-1120
[24]  
Bertran P(2015)Compositions – R package for multivariate imputation of left-censored data under a compositional approach Chemometrics and Intelligent Laboratory Systems 143 85-184
[25]  
Degeai J-P(2013)Quantification of trace arsenic in soils by field-portable X-ray fluorescence spectrometry: considerations for sample preparation and measurement conditions Journal of Hazardous Materials 262 1213-1224
[26]  
Queffelec A(2018)Multielement geochemistry identifies the spatial pattern of soil and sediment contamination in an urban parkland, Western Australia Science of the Total Environment 627 1106-264
[27]  
Moine O(2018)Portable X-ray fluorescence trace metal measurement in organic rich soils: pXRF response as a function of organic matter fraction Geoderma 319 175-789
[28]  
Brathwaite RI(2020)Portable X-ray fluorescence for environmental assessment of soils: not just a point and shoot method Environment International 134 105250-448
[29]  
Gazley MF(2018)Lead and zinc concentrations in household dust and toenails of the residents (Estarreja, Portugal): a source-pathway-fate model Environmental Science: Processes and Impacts 20 1210-276
[30]  
Christie AB(2016)Can field portable X-ray fluorescence (pXRF) produce high quality data for application in environmental contamination research? Environmental Pollution 214 255-186