Combining visible-based-color parameters and geochemical tracers to improve sediment source discrimination and apportionment

Science of the Total Environment

Volumn 527-528, Issue , 2015, Pages 135-149

  Tiecher, Tales ^a,b   Caner, Laurent ^b   Minella, Jean Paolo Gomes ^a   Santos, Danilo Rheinheimer dos ^a  

^a FEDERAL UNIVERSITY OF SANTA MARIA   (Brazil)

^b UNIVERSITÉ DE POITIERS   (France)

Author keywords

Alternative fingerprints; Fingerprinting approach; Modeling; Soil erosion

Indexed keywords

CATCHMENTS; COLLOID CHEMISTRY; CROPS; GEOCHEMISTRY; MODELS; SEDIMENTS; SITE SELECTION;

ALTERNATIVE FINGERPRINTS; DISCRIMINATING POWER; FINGERPRINTING APPROACH; PARTIAL LAST SQUARE REGRESSION; SOIL EROSION; SOURCE APPORTIONMENT; SOURCE DISCRIMINATION; ULTRA VIOLET-VISIBLE;

COLOR;

TRACER;

MODELING; SEDIMENT CHEMISTRY; SOIL EROSION; TRACE ELEMENT;

ANALYTICAL ERROR; ARTICLE; BRAZIL; CATCHMENT; COLOR; CONTROLLED STUDY; CROP; GEOCHEMICAL ANALYSIS; INTERMETHOD COMPARISON; MEASUREMENT ACCURACY; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; PRIORITY JOURNAL; RAILWAY; RURAL AREA; SEDIMENT; STATISTICAL MODEL; STREAM (RIVER); ULTRAVIOLET SPECTROSCOPY; ULTRAVIOLET VISIBLE SPECTROSCOPY;

BRAZIL;

EID: 84929456352     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2015.04.103     Document Type: Article

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