Combining spectroscopy and magnetism with geochemical tracers to improve the discrimination of sediment sources in a homogeneous subtropical catchment

•Geochemical tracers were not conservative in a catchment with highly weathered soils.•Magnetic and UV tracers had low discriminating potential between land uses.•The low discrimination between sources results in great uncertainties in the results.•Quantifying sediment contributions from more than t...

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Veröffentlicht in:Catena (Giessen) 2020-12, Vol.195, p.104800, Article 104800
Hauptverfasser: Ramon, Rafael, Evrard, Olivier, Laceby, J. Patrick, Caner, Laurent, Inda, Alberto V., Barros, Cláudia A.P. de, Minella, Jean P.G., Tiecher, Tales
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Sprache:eng
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Zusammenfassung:•Geochemical tracers were not conservative in a catchment with highly weathered soils.•Magnetic and UV tracers had low discriminating potential between land uses.•The low discrimination between sources results in great uncertainties in the results.•Quantifying sediment contributions from more than three sources remains challenging.•Despite limited discrimination, results of all tracers combinations remained consistent. An important step in the sediment source fingerprinting approach is the selection of the appropriate tracing parameters to maximize source discrimination. The use of multiple tracing properties may reduce uncertainties and increase discrimination between sources. Accordingly, this study investigates the discrimination and quantifies the contribution of sediment sources delivering sediment to a river draining a homogeneous subtropical agricultural catchment based on the combination of ultraviolet–visible spectra derived parameters (UV), magnetic (M), and geochemical tracers (GEO). The investigated catchment (Conceição River − 804 km2), located in Southern Brazil, has predominantly deep and strongly weathered Ferralsols. The main land-uses found in the area are cropland (89%), pasture (5%) and forest (5%). A total of 187 samples were collected to characterise the five main sediment sources, including cropland, pastures, unpaved roads, gullies and stream banks. A total of 53 tracers, including 21 geochemical tracers, two magnetic properties and 30 parameters derived from UV spectra, were analysed. Tracers were selected following a three step procedure, including: (i) an interquartile range test, (ii) a Kruskal–Wallis H test, and (iii) a linear discriminant function analysis (LDA). The LDA was performed using six different sets of variables: (i) GEO only; (ii) UV only; (iii) M + UV (MUV); (iv) GEO + UV (GUV); (v) GEO + M (GM) and (vi) GEO + M + UV (GMUV). The selected tracers were introduced into a mass balance mixing model to estimate the source contributions to in-stream sediment by minimizing the sum of square residuals. Most geochemical tracers were considered not conservative by using the interquartile range test in this catchment with highly weathered soils. The GM approach resulted in the highest percentage of samples correctly classified (SCC), with 74%, followed by the approaches with GMUV and GUV, with 73%. Alternative tracers, UV individually or combined with M tracers, correctly classified only 59 and 60% of the samples, respectively
ISSN:0341-8162
1872-6887
DOI:10.1016/j.catena.2020.104800