New insights on river water chemistry by using non-centred simplicial principal component analysis: a case study


Autoria(s): Buccianti, Antonella; Vaselli, Orlando; Nisi, Barbara
Contribuinte(s)

Thió i Fernández de Henestrosa, Santiago

Martín Fernández, Josep Antoni

Universitat de Girona. Departament d'Informàtica i Matemàtica Aplicada

Data(s)

16/10/2003

Resumo

The use of perturbation and power transformation operations permits the investigation of linear processes in the simplex as in a vectorial space. When the investigated geochemical processes can be constrained by the use of well-known starting point, the eigenvectors of the covariance matrix of a non-centred principal component analysis allow to model compositional changes compared with a reference point. The results obtained for the chemistry of water collected in River Arno (central-northern Italy) have open new perspectives for considering relative changes of the analysed variables and to hypothesise the relative effect of different acting physical-chemical processes, thus posing the basis for a quantitative modelling

Geologische Vereinigung; Universitat de Barcelona, Equip de Recerca Arqueomètrica; Institut d’Estadística de Catalunya; International Association for Mathematical Geology; Patronat de l’Escola Politècnica Superior de la Universitat de Girona; Fundació privada: Girona, Universitat i Futur.

Formato

application/pdf

Identificador

Buccianti, A.; Vaselli, O.; Nisi, B. 'New insights on river water chemistry by using non-centred simplicial principal component analysis' a CODAWORK’03. Girona: La Universitat, 2003 [consulta: 5 maig 2008]. Necessita Adobe Acrobat. Disponible a Internet a: http://hdl.handle.net/10256/675

84-8458-111-X

http://hdl.handle.net/10256/675

Idioma(s)

eng

Publicador

Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada

Direitos

Tots els drets reservats

Palavras-Chave #Anàlisi multivariable #Medi ambient -- Mètodes estadístics
Tipo

info:eu-repo/semantics/conferenceObject