Are there any effects of the agricultural use of chemical fertiliser on elements detected by airborne gamma-spectrometric surveys?

Wetterlind, Johanna; Tourlière, Bruno; Martelet, Guillaume; Deparis, Jacques; Saby, Nicolas P.A.; Richer-de-Forges, Anne C.; Arrouays, Dominique

doi:10.1016/j.geoderma.2012.01.011

Cited by 12 publications

(7 citation statements)

References 32 publications

(50 reference statements)

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“…Wetterlind et al. () observed different 40 K/K t , eU/total U, and eTh/total Th ratios from airborne gamma data and soil chemical analyses [hydrofluoric and perchloric acids, and inductively coupled plasma mass spectroscopy (ICP‐MS)] comparing forest and arable soils in France. Measured Th ratios did not significantly differ, but gamma counts for 40 K and 238 U increased in comparison to chemically determined contents in arable soils.…”

Section: Fundamentalsmentioning

confidence: 99%

Gamma‐ray spectrometry as versatile tool in soil science: A critical review

Reinhardt

Herrmann

2018

J. Plant Nutr. Soil Sci.

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Gamma‐ray spectrometry is an established method in geo‐sciences. This article gives an overview on fundamentals of gamma‐ray spectrometry that are relevant to soil science including basic technical aspects, and discusses influencing factors, inconsistencies, limitations, and open questions related to the method. Gamma‐ray spectrometry relies on counting gamma quanta during radionuclide decay of 40K, 238U, and 232Th, but secular equilibrium for the decay series of U and Th must be given as decays of their respective daughter radionuclides are used for determination. Secular equilibrium for U and Th decay series, however, is not always given leading to, e.g., anomalies in U concentration measurements. For soil science, gamma‐ray spectrometry is of specific value since it does not only detect a signal from the landscape surface, but integrates information over a certain volume. Besides, different spatial scales can be covered using either ground‐based or airborne sensing techniques. Together with other remote sensing methods, gamma signatures can provide completive information for understanding land forming processes and soil properties distributions. At first, signals depend on bedrock composition. The signals are in second order altered by weathering processes leading to more interpretation opportunities and challenges. Due to their physico‐chemical properties, radionuclides behave differently in soils and their properties can be distinguished via the resulting signatures. Hence, gamma signatures of soils are specific for local environments. Processes like soil erosion can superimpose gamma signals from in situ weathering. Soil mappings, available K and texture determination, or peat and soil erosion mapping are possible applications being discussed in this review.

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Section: Fundamentalsmentioning

confidence: 99%

Gamma‐ray spectrometry as versatile tool in soil science: A critical review

Reinhardt

Herrmann

2018

J. Plant Nutr. Soil Sci.

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“…During the measurements, several natural factors influence the signal, including the air temperature, pressure, and moisture or ground clearance; these factors are corrected for as part of standard processing procedures (International Atomic Energy Agency, 2003; Minty, 1997). Other natural effects such as the presence of forests (e.g., Schwarz et al, 1997; Ahl and Bieber, 2010) or anthropogenic effects such as roads, roofs, etc., or fertilizers (e.g., Becegato et al, 2008; Wetterlind et al, 2012) have been reported to influence gamma‐spectrometric data. Agricultural practices may also modify the soil properties that are related to soil structure and hydraulic properties (i.e., density, depth, and humidity).…”

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confidence: 99%

Regional Regolith Parameter Prediction Using the Proxy of Airborne Gamma Ray Spectrometry

Martelet

Drufin

Tourlière

et al. 2013

Vadose Zone Journal

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Interdependence of regolith density, moisture, and chemistry parameters, as well as their influence on natural gamma ray emissions, led us to investigate systematically whether statistical models could be inferred between gamma spectrometric data and regolith parameters. A series of soil sample parameters were analyzed vs. airborne gamma ray data through multiple linear regressions. Among the approximately 20 regolith parameters modeled (chemical, textural, and mineralogical), about 50% (equally distributed in each category) were found to be predictable, with acceptable error (Radj2 > 0.5 and p value < 5%). With an independent set of texture analyses, we validated two of the predicted parameters (sand and clay contents) with fairly low residuals, with standard deviations of 22 and 16%, respectively. Further statistical investigations revealed why a large number of soil parameters could successfully be modeled in this sedimentary environment. We showed that the main gamma emitters are hosted in weathering products and leached detrital materials. Two main mineral assemblages correlate with gamma variables: (i) fine‐grained weathering clays (with correlated Al, Fe, Mn, Mg, Pb, and V elements), and (ii) residual K‐rich minerals, interpreted as feldspar and/or muscovite (correlated with Na and Sr). Additionally, two chemical elements, Si and Ca, have specific behaviors and can scarcely be characterized by the gamma data: they apparently mitigate Ɣ signatures.

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“…The extended area with mediumhigh values of total activity concentration could be related to anthropogenic activities (Wetterlind et al, 2012) and selective fluvial deposition of the main river basins. In particular, we observed that the S-E area surrounding the Euganean Hills is characterized by enrichment in the radionuclides, probably due to the erosion and transport processes undergone by magmatic rocks.…”

Section: Discussionmentioning

confidence: 99%

Total natural radioactivity, Veneto (Italy)

et al. 2014

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We present the first detailed map of the terrestrial natural radioactivity of the Veneto Region (Italy), a 18,264 km 2 densely populated area, previously investigated through indoor radon surveys. The activity concentration in 709 representative samples of the main Alpine lithostratigraphic units was measured by using a high-purity germanium (HPGe) g-ray spectrometer to characterize the radioactivity content of the 41 cartographic units of the Veneto Lithostratigraphic map at 1:250,000 scale. An area accounting for 61% of the territory, comprising alluvial plains was investigated through airborne g-ray measurements. The large-volume NaI detectors were mounted on an ultralight aircraft, flying a 7000 km line. The data were interpolated using Ordinary Kriging, and a distribution model of the radioactivity content was produced. The result of the data analysis is a total natural radioactivity map of Veneto at 1:250,000 scale in which the activity concentration of the territory is visualized in seven classes, according to the percentile values calculated on the total dataset of measurements.

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Are there any effects of the agricultural use of chemical fertiliser on elements detected by airborne gamma-spectrometric surveys?

Cited by 12 publications

References 32 publications

Gamma‐ray spectrometry as versatile tool in soil science: A critical review

Gamma‐ray spectrometry as versatile tool in soil science: A critical review

Regional Regolith Parameter Prediction Using the Proxy of Airborne Gamma Ray Spectrometry

Total natural radioactivity, Veneto (Italy)

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