dc.creatorTorres Astorga, Romina Vanesa
dc.creatorde los Santos Villalobos, Sergio
dc.creatorVelasco, Ricardo Hugo
dc.creatorDomínguez Quintero, Olgioly
dc.creatorPereira Cardoso, Renan
dc.creatorMeigikos Dos Anjos, Roberto
dc.creatorDiawara, Yacouba
dc.creatorDercon, Gerd
dc.creatorMabit, Lionel
dc.date.accessioned2020-02-01T01:59:14Z
dc.date.accessioned2022-10-15T08:47:40Z
dc.date.available2020-02-01T01:59:14Z
dc.date.available2022-10-15T08:47:40Z
dc.date.created2020-02-01T01:59:14Z
dc.date.issued2018-07
dc.identifierTorres Astorga, Romina Vanesa; de los Santos Villalobos, Sergio; Velasco, Ricardo Hugo; Domínguez Quintero, Olgioly; Pereira Cardoso, Renan; et al.; Exploring innovative techniques for identifying geochemical elements as fingerprints of sediment sources in an agricultural catchment of Argentina affected by soil erosion; Springer Heidelberg; Environmental Science and Pollution Research; 25; 21; 7-2018; 20868-20879
dc.identifier0944-1344
dc.identifierhttp://hdl.handle.net/11336/96462
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4366793
dc.description.abstractIdentification of hot spots of land degradation is strongly related with the selection of soil tracers for sediment pathways. This research proposes the complementary and integrated application of two analytical techniques to select the most suitable fingerprint tracers for identifying the main sources of sediments in an agricultural catchment located in Central Argentina with erosive loess soils. Diffuse reflectance Fourier transformed in the mid-infrared range (DRIFT-MIR) spectroscopy and energy-dispersive X-ray fluorescence (EDXRF) were used for a suitable fingerprint selection. For using DRIFT-MIR spectroscopy as fingerprinting technique, calibration through quantitative parameters is needed to link and correlate DRIFT-MIR spectra with soil tracers. EDXRF was used in this context for determining the concentrations of geochemical elements in soil samples. The selected tracers were confirmed using two artificial mixtures composed of known proportions of soil collected in different sites with distinctive soil uses. These fingerprint elements were used as parameters to build a predictive model with the whole set of DRIFT-MIR spectra. Fingerprint elements such as phosphorus, iron, calcium, barium, and titanium were identified for obtaining a suitable reconstruction of the source proportions in the artificial mixtures. Mid-infrared spectra produced successful prediction models (R2 = 0.91) for Fe content and moderate useful prediction (R2 = 0.72) for Ti content. For Ca, P, and Ba, the R2 were 0.44, 0.58, and 0.59 respectively.
dc.languageeng
dc.publisherSpringer Heidelberg
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/10.1007/s11356-018-2154-4
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s11356-018-2154-4
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectARTIFICIAL MIXTURES
dc.subjectDIFFUSE REFLECTANCE FOURIER TRANSFORMED MID-INFRARED (DRIFT-MIR) SPECTROSCOPY
dc.subjectENERGY-DISPERSIVE X-RAY FLUORESCENCE (EDXRF) SPECTROSCOPY
dc.subjectFINGERPRINTS
dc.titleExploring innovative techniques for identifying geochemical elements as fingerprints of sediment sources in an agricultural catchment of Argentina affected by soil erosion
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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