http://www.cnr.it/ontology/cnr/individuo/prodotto/ID28374
Recognition of areas of anomalous concentration of potentially hazardous elements by means of a subcatchment-based discriminant analysis of stream sediments (Articolo in rivista)
- Type
- Label
- Recognition of areas of anomalous concentration of potentially hazardous elements by means of a subcatchment-based discriminant analysis of stream sediments (Articolo in rivista) (literal)
- Anno
- 2005-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1016/j.gexplo.2005.08.001 (literal)
- Alternative label
Spadoni M., Voltaggio M., Cavarretta G. (2005)
Recognition of areas of anomalous concentration of potentially hazardous elements by means of a subcatchment-based discriminant analysis of stream sediments
in Journal of geochemical exploration
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Spadoni M., Voltaggio M., Cavarretta G. (literal)
- Pagina inizio
- Pagina fine
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- Rivista
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Spadoni M : Istituto di Geologia ambientale e Geoingegneria CNR, Roma;
Voltaggio M: Istituto di Geologia ambientale e Geoingegneria CNR, Roma;
Cavarretta G.: Istituto di Geologia ambientale e Geoingegneria CNR, Roma; (literal)
- Titolo
- Recognition of areas of anomalous concentration of potentially hazardous elements by means of a subcatchment-based discriminant analysis of stream sediments (literal)
- Abstract
- The statistical technique of discriminant analysis associated with the calculation of an information coefficient has been applied
to the concentrations of 37 chemical elements for calculating the mixing of stream sediments of different origin in the Mignone
river basin.
Discriminant analysis has been based on sample catchment basins (SCBs), defined as the part of the drainage basin between
two consecutive sampling points along the same stream branch, and on the identification of 4 different litho-geochemical groups.
Thisapproach,hasbeenusedtodefinethemembershipprobabilityvaluesforeverysamplebyapplyingBayes'ruleandcalculating
posterior probability. The grade of uncertainty for each group assignment has been evaluated by using an information coefficient,
based on a classification entropy index, and running a procedure analogue to that used for processing membership values in fuzzy
analysis. The maximum theoretical concentration that can be expected in soils near the sampling point (enhanced concentration)
has then been calculated from both the measured and the membership values by introducing a specific enhancement function.
Theoretical background concentrations at every sampling point have been also calculated by weighting the average value of
concentration in each group with the membership values for each sample. These have been successively compared with the
measured and enhanced concentrations to identify anomalous areas.
The distribution maps of Arsenic and Vanadium in the Mignone River basin (central Italy) have been drawn accordingly to this
technique, leading to the identification of areas of potential risk for human health. (literal)
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- Autore CNR
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