The contribution of ground gamma-ray spectrometry (GRS) to the study of topsoils was tested in the Rieti floodplain (Central Italy), an area characterized by a complex sedimentary evolution and a long lasting interference between human activities and hydrological setting. A significant inverse correlation between total ? count and sand content (R = - 0.901; p < 0.01), with the latter acting as a diluent for the radioisotopes concentration in the topsoils, suggested to integrate the textural data of 289 topsoil samples by using a ground gamma ray survey. An extensive survey was therefore carried out with a portable NaI(Tl) scintillometer. The total ? emission compared to the spatial distribution of measured soil textures and to the relatively small altimetrical variations of the topographic surface along selected transects, allowed to have a better insight of the Holocene sedimentary evolution. The total ? counts were also used in conjunction with a series of geographic variables such as the distance from rivers and floodplain edges, the topographic curvature and the geographic position of sampled points (X, Y, Z), to carry out a discriminant analysis that allowed to correctly assign soils to their USDA texture groups in 59.2% of the cases. The same analysis carried out by including some common pedological parameters allowed to increase the discriminant score to 76.2%. Total ? emission recorded near the edge of the floodplain, in the distal sectors of some alluvial fans, resulted significantly affected by the presence of calcareous rock fragments in the topsoil and was therefore reliably used to measure their abundance. The results of this study encourage the extensive use of ground GRS in the field of applied sedimentology and topsoil mapping of floodplains as a fast and low cost technique capable to usefully integrate the traditional surveys based on the execution of laboratory analyses.

Contribution of gamma ground spectrometry to the textural charachterization and mapping of floodplain sediments

M Spadoni;M Voltaggio
2013

Abstract

The contribution of ground gamma-ray spectrometry (GRS) to the study of topsoils was tested in the Rieti floodplain (Central Italy), an area characterized by a complex sedimentary evolution and a long lasting interference between human activities and hydrological setting. A significant inverse correlation between total ? count and sand content (R = - 0.901; p < 0.01), with the latter acting as a diluent for the radioisotopes concentration in the topsoils, suggested to integrate the textural data of 289 topsoil samples by using a ground gamma ray survey. An extensive survey was therefore carried out with a portable NaI(Tl) scintillometer. The total ? emission compared to the spatial distribution of measured soil textures and to the relatively small altimetrical variations of the topographic surface along selected transects, allowed to have a better insight of the Holocene sedimentary evolution. The total ? counts were also used in conjunction with a series of geographic variables such as the distance from rivers and floodplain edges, the topographic curvature and the geographic position of sampled points (X, Y, Z), to carry out a discriminant analysis that allowed to correctly assign soils to their USDA texture groups in 59.2% of the cases. The same analysis carried out by including some common pedological parameters allowed to increase the discriminant score to 76.2%. Total ? emission recorded near the edge of the floodplain, in the distal sectors of some alluvial fans, resulted significantly affected by the presence of calcareous rock fragments in the topsoil and was therefore reliably used to measure their abundance. The results of this study encourage the extensive use of ground GRS in the field of applied sedimentology and topsoil mapping of floodplains as a fast and low cost technique capable to usefully integrate the traditional surveys based on the execution of laboratory analyses.
2013
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/313005
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