2018
DOI: 10.1007/s11368-018-2161-6
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Multivariate statistical analysis correlating 238U, 232Th, and 40K equivalent activities in soil to geochemical data from an agricultural area

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Cited by 9 publications
(2 citation statements)
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“…In the area, with each new planting, crop improvement is achieved by adding soluble fertilizer such as NPK. Plants uptake and hydric erosion consume the added potassium upslope, while an expected transport of K adsorbed in the clay particles and/or in the soil solution toward the wetland explains the obtained radionuclide signatures (Becegato et al, 2019). The multivariate dataset was constructed using three gamma variables, hydraulic conductivity, and altitude.…”
Section: Resultsmentioning
confidence: 99%
“…In the area, with each new planting, crop improvement is achieved by adding soluble fertilizer such as NPK. Plants uptake and hydric erosion consume the added potassium upslope, while an expected transport of K adsorbed in the clay particles and/or in the soil solution toward the wetland explains the obtained radionuclide signatures (Becegato et al, 2019). The multivariate dataset was constructed using three gamma variables, hydraulic conductivity, and altitude.…”
Section: Resultsmentioning
confidence: 99%
“…For such applications, quantitative spectra evaluation is not mandatory, and sophisticated data processing steps [2,12] are dispensable. However, depending on the geopedological context, different spectral features may show optimal correlation with soil texture [14,33,34]. Therefore, if only pattern recognition is required, TC as stand-alone proxies are sufficient and, at the same time, less prone to errors than single ROI.…”
Section: Recognition Of Spatial Patterns Of Gamma Featuresmentioning
confidence: 99%