Advanced Hyperspectral and X-Ray Fluorescence Sensors for Monitoring Contaminated Soils

2018 ◽  
pp. 53-62
Author(s):  
Somsubhra Chakraborty ◽  
David C. Weindorf ◽  
D.P. Ray
2003 ◽  
Vol 67 (2) ◽  
pp. 219-231 ◽  
Author(s):  
H. W. Langmi ◽  
J. Watt

Computer-controlled scanning electron microscopy (CCSEM) has been assessed for the determination of form and size distribution of heavy metals in urban contaminated soils. Metal distributions within individual particles were determined using X-ray element mapping. The sites selected for study were (1) around a landfill site, previously a colliery in Wolverhampton, UK and (2) a private garden adjacent to a railway in Nottingham, UK. Backscattered thresholding techniques were used to isolate the Pb-containing categories. The classification results for both Wolverhampton and Nottingham soils were generally similar but more Pb-containing classes were observed for the Nottingham samples when a comparison was made between results of the same size fractions. However, difficulties with the technique arose when particles showing chemically similar weathering crusts were assigned to the same class, despite having different internal compositions. The CCSEM data therefore need to be interpreted with caution and their application limited to situations in which particle internal complexity is not an issue.


2020 ◽  
Vol 12 (18) ◽  
pp. 7340
Author(s):  
Jessica Giro-Paloma ◽  
Joan Formosa ◽  
Josep M Chimenos

Low-grade magnesium oxide (LG-MgO) was proposed as ordinary Portland cement (OPC) or lime substitute (CaO) for metal(loid)s remediation in contaminated soils. Some metal(loid)s precipitate at pH ≈ 9 in insoluble hydroxide form thus avoiding their leaching. LG-MgO avoids the re-dissolution of certain metal(loid)s at 9.0 < pH < 11.0 (pH-dependents), whose solubility depends on the pH. A highly contaminated soil with heavy metal(loid)s was stabilized using different LG-MgO by-products sources as stabilizing agents. Two of the three studied LG-MgOs were selected for the stabilization, by mixing 5, 10, and 15 wt.%. The effect of using LG-MgO not only depends on the size of the particles, but also on those impurities that are present in the LG-MgO samples. Particle size distribution, X-ray fluorescence (XRF), X-ray diffraction (XRD), thermogravimetric analysis, citric acid test, specific surface, bulk density, acid neutralization capacity, batch leaching tests (BLTs), and percolation column tests (PCTs) were techniques used to deeply characterize the different LG-MgO and the contaminated and remediated soils. The remediation’s results efficacy indicated that when the medium pH was between 9.0 and 11.0, the concentration of pH-dependent metal(loid)s decreases significantly. Although around 15 wt.% of a stabilizing agent was appropriate for the soil remediation to ensure an alkali reservoir that maintains optimal stabilization conditions for a long period, 5 wt.% of LG-MgO was enough to remedy the contaminated soil. When evaluating a polluted and decontaminated soil, both BLTs and PCTs should be complementary procedures.


1994 ◽  
Vol 14 (3) ◽  
pp. 111-115 ◽  
Author(s):  
Robert W. Puls ◽  
Donald A. Clark ◽  
Clark Carlson ◽  
James Vardy
Keyword(s):  

2019 ◽  
Vol 9 (1) ◽  
pp. 93-104 ◽  
Author(s):  
Gladys Cristina Pinto-Santamaría ◽  
Carlos Alberto Ríos- Reyes ◽  
Luz Yolanda Vargas- Fiallo

Oil spills have been one of the greatest environmental problems worldwide. The contamination of soils due to oil spills generates an oil migration down the soil until reaching groundwater. The research focused on remediation of oil-contaminated soils by Ecuadorian natural and acid-surfactant modified zeolites of the Cayo Formation. The natural and modified zeolites were characterized by wavelength dispersive X-ray fluorescence, X-ray powder diffraction, environmental scanning electron microscopy, attenuated total reflectance Fourier transform infrared spectroscopy, and solid-state magic-angle spinning nuclear magnetic resonance spectroscopy. The natural and modified zeolites were added to an artificially oil-contaminated soil to immobilize and limit the uptake of contaminants by rape through changing soil physical and chemical properties in the pot experiment under greenhouse conditions. Several oil contaminated soil-zeolite mixes were tested in replicated laboratory analyses in terms of their ability to absorb oil. Results indicated that the addition of natural and modified zeolites could increase or decrease soil pH and absorption capacity, with high potential in removing oil from soil. Statistical analysis of the experimental data was performed by the variance test analysis. The absorption process had an efficiency of 46% under well-optimized experimental conditions, with an absorbent dose of 30-M, pH = 3.8 and 15 days of contact time.


2003 ◽  
Vol 376 (5) ◽  
pp. 653-658 ◽  
Author(s):  
E. Foresti ◽  
M. Gazzano ◽  
A. F. Gualtieri ◽  
I. G. Lesci ◽  
B. Lunelli ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-8
Author(s):  
O. I. Asubiojo ◽  
F. M. Adebiyi ◽  
E. I. Obiajunwa ◽  
J. A. Ajao

The study investigated potential toxic elements in soils and food flours for highway pollution using PIXE spectrometry. The contaminated soils and cassava food flours contained higher levels of the elements than their control samples, while comparison with their standard permissible limits followed similar trend which was attributable to anthropogenic influences. These were corroborated by their elevated Enrichment factor, Pollution index and Geoaccumulation index values for the elements, suggesting significant anthropogenically—derived contaminations of the soils. T-test value (0.038) for the elemental composition of the contaminated soils & cassava flours was significant due to considerable higher concentrations of the elements in the soils than the cassava flours. Cross plot analysis result for the contaminated soils and cassava fours showed moderate positive correlation (R2 = 0.426), indicating inter-element relationship between them. Cluster analysis results for the analyzed elements in the contaminated soil samples indicated that Mn, Fe, V, Cr, Zn, Cl, Ti and S showed closest inter-element clustering and was corroborated by the results of Pearson correlation matrices, while inter-element clustering in the food flour followed the same trend and was also supported by their results of Pearson correlation matrices, validating that the soils and cassava flours were contaminated via similar sources.


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