Rapid, Nondestructive Total Elemental Analysis of Vertisol Soils using Portable X-ray Fluorescence

McLaren, Timothy I.; Guppy, Christopher N.; Tighe, Matthew; Forster, Nicola; Grave, Peter; Lisle, Leanne; Bennett, John W.

doi:10.2136/sssaj2011.0354

Cited by 62 publications

(29 citation statements)

References 27 publications

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“…But recent studies have also shown that PXRF can be employed to calibrate for a range of soil properties (McLaren et al, 2012;Weindorf et al, 2009Weindorf et al, , 2012bWeindorf et al, , 2012cWeindorf et al, , 2013aZhu and Weindorf, 2009;Zhu et al, 2011) and in addition can also be used to investigate the degree of soil weathering (Che et al, 2012). In a recent study, for example, Wang et al (2013) also presented the complementary use of PXRF and Fourier transform NIR spectroscopy to predict soil texture.…”

Section: Pxrf For Measuring Soil Contaminantsmentioning

confidence: 99%

Potential of integrated field spectroscopy and spatial analysis for enhanced assessment of soil contamination: A prospective review

et al. 2015

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a b s t r a c tThere are tens of millions of contaminated soil sites in the world, and with an increasing population and associated risk there is a growing pressure to remediate them. A barrier to remediation is the lack of cost-effective approaches to assessment. Soil contaminants include a wide range of natural and synthetic metallic and organic compounds and minerals thus making analytical costs potentially very large. Further, soil contaminants show a large degree of spatial variation which increases the burden on sampling costs. This paper reviews potentially cost-effective methods for measurement, sampling design, and assessment. Current tiered investigation approaches and sampling strategies can be improved by using new technologies such as proximal sensing. Design of sampling can be aided by on-the-go proximal soil sensing; and expedited by subsequent adaptive spatially optimal sampling and prediction procedures enabled by field spectroscopic methods and advanced geostatistics. Field deployment of portable Visible & Near Infrared [wavelength 400-2500 nm] (Vis-NIR) and X-ray fluorescence (PXRF) spectroscopies will require special calibration approaches but show huge potential for synergistic use. The use of mid-infrared spectroscopy [wavelength 2500-25,000 nm, wavenumber 4000-400 cm −1 ] (MIR) for field implementation requires further adaptive research. We propose an integrated field-deployable methodology as a basis for further developments. Crown

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Section: Pxrf For Measuring Soil Contaminantsmentioning

confidence: 99%

Potential of integrated field spectroscopy and spatial analysis for enhanced assessment of soil contamination: A prospective review

et al. 2015

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“…The use of field-portable XRF devices offer an exiting, albeit expensive, approach to rapidly identifying and quantifying local variation in lithology (Zhu et al, 2011;Weindorf et al, 2012;McLaren et al, 2012). In arid environments, multispectral (Landsat TM), and hyperspectral (AVIRIS) remote sensing has been used to delineate variation in surface mineralogy and sediment source (Scull et al, 2003;Levi and Rasmussen, 2014).…”

Section: Options For Detailed Mapping Of Lithologic Variabilitymentioning

confidence: 99%

Topographic and Geologic Controls on Soil Variability in California's Sierra Nevada Foothill Region

Beaudette¹,

O’Geen

2016

Soil Science Society of America Journal

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We evaluated the feasibility of quantitative soil mapping in two catenas established on different lithologies (metavolcanic and granitic) in the Sierra Foothill Region of California. Indices of landform and microclimate were extracted from a 1-m elevation model. Variation in soil "character" (clay content, pH, color, cation-exchange capacity [CEC], and Fe o /Fe d ) was partitioned across variables associated with terrain shape and microclimate, lithologic variability, and sampling depth. The potential for using digital elevation models (DEM)-derived indices of terrain shape to predict spatial patterns in soil properties varied greatly between our two experimental catenas. Terrain shape accounted for 4% (metavolcanic site) to 30% (granitic site) of variance in soil properties, while lithology accounted for 14% (metavolcanic site) to 22% (granitic site) of variance in soil properties. Sample depth accounted for 3% (metavolcanic site) to 12% (granitic site) of variance in soil properties. At the metavolcanic site, variability in lithology contributed more to soil variation than terrain shape, which makes digital soil modeling efforts a challenge in these regions. Up to 66% of the variance in soil properties was explained at the granitic site when considering terrain, lithology, sample depth, and associated interactions of these variables. Variance proportions can provide insight into the relative importance of soil-forming factors and is a useful tool when evaluating the efficacy of digital soil mapping projects.Abbreviations: CEC, cation-exchange capacity; CS, conditional simulation; CTI, compound topographic index; DEM, digital elevation models; OK, ordinary kriging; pRDA, partial redundancy analysis; PCA, principal components analysis; QSM, quantitative soil mapping; RDA, redundancy analysis; RCS, restricted cubic splines; RST, regularized splines in tension; RTK, real-time kinematice; SFR, Sierra Nevada Foothill Region; SFREC, Sierra Foothill Research and Extension Center; SJER, San Joaquin Experimental Station; TCI, terrain characterization index; XRF, x-ray fluorescence.T he development and application of the soil-landscape paradigm has played a significant role in how soil scientists conduct research, interpret and communicate their findings, and apply the resulting knowledge to solve real-world problems (Hudson, 1992). Within this framework, repeating patterns in soil properties or classes are correlated with factors that drive redistribution of sediment (slope angle), effective precipitation (surface curvature), and microclimate (slope aspect); and are stratified according to differences in parent material, biota, and time. Traditionally, this approach has been implemented through qualitative evaluation (i.e., mental models) of Hans Jenny's ( Jenny, 1941) state-factor model of soil genesis. Modern extensions to this framework for mapping soils commonly termed digital soil mapping are based on a numerical integration of soil property or class data with quantitative proxies of soil-forming factors (Moore et ...

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“…Precision agriculture presents potential to increase crop yield. Hence, efforts have been made towards the development of faster, precise, and accurate methods that allow accessing the plant and soil nutritional status in field. This analytical strategy will permit the readily correction of nutritional deficiency.…”

Section: Introductionmentioning

confidence: 99%

Direct determination of mineral nutrients in soybean leaves under vivo conditions by portable X‐ray fluorescence spectroscopy

et al. 2019

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A portable energy dispersive X‐ray fluorescence (XRF) spectrometer furnished with an Rh X‐ray tube was evaluated for the determination of macronutrients and micronutrients in soybean leaves (Glycine max L.). XRF instrumental parameters were optimized in a univariate way, and emission intensities were measured for 60 s and under vacuum for macronutrients, and during 180 s, under air, and 305 μm Al/25.4 μm Ti filter, for micronutrients. Fresh and dried leaves were irradiated, and it was possible to identify P, K, Ca, S, Mn, Fe, Cu, and Zn Kα emission lines. For comparative purpose, the samples were also microwave assisted, digested and analyzed by inductively coupled plasma optical emission spectrometry. In general, linear correlations between K, Ca, Mn, Fe, Cu, and Zn concentrations in the tested samples and the corresponding portable XRF (pXRF) intensities were obtained. The linear correlation coefficients (R2) ranged from 0.42 to 0.86. In addition, the detection limits were suitable for plant nutrient diagnosis. It is demonstrated that pXRF is a simple and powerful tool for analysis of plant materials.

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Rapid, Nondestructive Total Elemental Analysis of Vertisol Soils using Portable X-ray Fluorescence

Cited by 62 publications

References 27 publications

Potential of integrated field spectroscopy and spatial analysis for enhanced assessment of soil contamination: A prospective review

Potential of integrated field spectroscopy and spatial analysis for enhanced assessment of soil contamination: A prospective review

Topographic and Geologic Controls on Soil Variability in California's Sierra Nevada Foothill Region

Direct determination of mineral nutrients in soybean leaves under vivo conditions by portable X‐ray fluorescence spectroscopy

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