Full-spectrum analysis of natural γ-ray spectra

Hendriks, Petra; Limburg, J.; Meijer, R.J. de

doi:10.1016/s0265-931x(00)00142-9

Cited by 120 publications

(63 citation statements)

References 5 publications

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“…This yields the concentration of the nuclides in the measured spectrum. This is 1.7 times more accurate than Windows analysis (Hendriks, 2001). The nuclide concentrations are then correlated to soil properties mainly by linear regression, although authors have also applied PLSR, PCA etc.…”

Section: γ-Ray Spectrometrymentioning

confidence: 81%

“…The nuclide composition of a soil is derived by decomposing the measured total spectrum to nuclide concentrations using either Windows analysis or Full Spectrum Analysis (Hendriks et al, 2001). In Windows analysis the window with the main energy peak of a nuclide is used as a measure for the amount of radiation of that element at that location while correcting for the contribution of other elements using stripping factors.…”

Section: γ-Ray Spectrometrymentioning

confidence: 99%

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A selection of sensing techniques for mapping soil hydraulic properties

Knotters

Egmond

Bakker

et al. 2017

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Data on soil hydraulic properties are needed as input for many models, such as models to predict unsaturated water movement and crop growth, and models to predict leaching of nutrients and pesticides to groundwater. The soil physics database of the Netherlands shows several lacunae, and a substantial part of the data were collected more than thirty years ago and thus might not represent actual soil hydraulic conditions. There is a need to fill lacunae in the soil physics dataset, to make the dataset up-to-date and to aggregate soil hydraulic properties observed at point scale to larger spatial units. The relationship between the unsaturated hydraulic conductivity K or the volumetric water content θ and the pressure head h can be described for example by equations such as the Mualem-Van Genuchten equations, the parameter values of which can be predicted from soil properties by using pedo-transfer functions. These soil properties include clay content, loam content, organic matter content and the median grain diameter of the sand fraction (50-2000 µm). Application of proximal sensing techniques in observing soil physics properties in the field might reduce the costs of data collection. The accuracy with which proximal sensing techniques can predict clay content, loam content, organic matter content and the median grain size of the sand fraction (50-2000 µm) needs to be assessed as these are the explanatory variables in the pedo-transfer functions. The aim of this study was to select on-the-go proximal sensing techniques that are able to quantify soil variables that are used in the pedo-transfer functions for prediction of the parameters of the Mualem-Van Genuchten equations. We conclude that near infrared spectrometry, γ-ray spectroscopy and electromagnetic induction methods have a potential in spatial prediction of clay, silt and sand content, and that near infrared spectrometry has a potential in spatial prediction of organic matter content and soil moisture content. The use of pedo-transfer functions requires also the parameters bulk density and median of the sand fraction (M50). Bulk density can be measured by a device called RhoC. However, its performance in predicting bulk density of terrestrial soils has not been validated yet. Most instruments are applied to measure fractions clay, silt and sand. The application of these instruments in the determination of M50 needs to be developed. Possibly the combination of specific surface area and fractions of fine and course sand can give an indication. On the other hand new pedo-transfer functions can be developed neglecting the M50 value while increasing the contribution of other explanatory variables.

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Section: γ-Ray Spectrometrymentioning

confidence: 81%

Section: γ-Ray Spectrometrymentioning

confidence: 99%

A selection of sensing techniques for mapping soil hydraulic properties

Knotters

Egmond

Bakker

et al. 2017

View full text Add to dashboard Cite

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“…BGO detectors are on average 10% more efficient for radioactive particle detection than NaI(Tl) detectors of the same size (Knoll 2000; Van der Graaf et al 2007). This better efficiency allows for a reduction of the measurement time (Hendriks et al 2001), which is normally set for 1 min per point in the case of shale cores (n.b. rock with low activity requires much longer time of acquisition) and its smaller size compared to SGR allows for the increase of the vertical resolution.…”

Section: Spectral Gamma-ray Core Measurements-results In Borehole 2 (mentioning

confidence: 99%

Spectrometric gamma radiation of shale cores applied to sweet spot discrimination in Eastern Pomerania, Poland

Skupio

Barberes

2017

Acta Geophys.

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This paper describes the application and calculation of hydrocarbon anomalies in two different boreholes located in Eastern Pomerania (northern Poland). Spectrometric data from borehole geophysical probe (borehole 1) and portable gamma logger (borehole 2) were used to analyze shale formations. The results from borehole 1 presented a statistically significant, moderate correlation between calculated hydrocarbon anomalies and hydrocarbon saturation data obtained from well log interpretation. Borehole 2 has been analyzed focusing on the gamma radiation of the core samples, and the positive results of borehole 1. Hydrocarbon anomalies calculated from spectral gamma radiation are reliable indicators of sweet spots, based solely on a cursory evaluation of core measurements. These preliminary information acquired from gamma-ray measurements could help increase sampling precision of further geochemical analysis.

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“…The FSA technique involves the spectral deconvolution of the entire measured MEDUSA spectra (each acquired over a 2 s period) using so-called standard spectra (generated by Monte Carlo simulations) (Hendriks, et al, 2001). In the windows analysis technique, the activity concentration is determined from the net content of the window around individual energy peaks.…”

Section: Data Analysis and Dose Modellingmentioning

confidence: 99%

In-situgamma-ray mapping of environmental radioactivity atiThemba LABS and associated risk assessment

Hlatshwayo

2009

Radioprotection

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Abstract.In-situ and ex-situ measurements of environmental radioactivity were made on the iThemba LABS (iTL) grounds in South Africa. The MEDUSA and HPGe detector systems were used to make insitu and ex-situ measurements, respectively. The MEDUSA was mounted ∼0.5 m above the ground on a 4 × 4 vehicle to traverse [at ∼2 m · s −1 ] the accessible portions of the iTL grounds. Spatial data (via a GPS receiver) were acquired every 1 s, and -ray spectra every 2 s. MEDUSA count rate maps were produced to show the spatial distribution of radioactivity on the grounds. The HPGe was used to measure the radioactivity in soil (and also in some grass) samples collected at particular spots on the iTL grounds. The sampled spots include six identified high activity spots ("hot spots") and two "calibration spots". The activity concentrations were determined for both the natural and anthropogenic radionuclides. The absorbed and effective doses (from external -ray irradiation) were also determined for the natural and anthropogenic radionuclides. The maximum effective dose to humans on the iTL grounds as a result of external exposure to natural and anthropogenic radionuclides was found to be well below the regulatory 1 mSv per year per member of public.

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Full-spectrum analysis of natural γ-ray spectra

Cited by 120 publications

References 5 publications

A selection of sensing techniques for mapping soil hydraulic properties

A selection of sensing techniques for mapping soil hydraulic properties

Spectrometric gamma radiation of shale cores applied to sweet spot discrimination in Eastern Pomerania, Poland

In-situgamma-ray mapping of environmental radioactivity atiThemba LABS and associated risk assessment

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