Literature DB >> 15285347

Chemometric modeling of main contamination sources in surface waters of Portugal.

Romà Tauler1, Silvia Lacorte, Miriam Guillamón, Raquel Cespedes, Paula Viana, Damia Barceló.   

Abstract

Various chemometric data analysis methods, such as principal components analysis, multivariate curve resolution-alternating least squares, parallel factor analysis, and Tucker3, are proposed and compared for the resolution and modeling of main contamination sources in a large environmental data array obtained in an exhaustive environmental monitoring program that examined the quality of surface waters of Portugal. The study covered the analysis of 19 priority semivolatile organic compounds (SVOCs) frequently found in a total number of 644 surface water samples, including 46 different sites from throughout Portugal and corresponding to a period of 14 months, from April 1999 to May 2000. Main contamination sources of the analyzed SVOCs were identified and interpreted according to their chemical composition and according to their resolved geographical and temporal distribution profiles.

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Year:  2004        PMID: 15285347     DOI: 10.1897/03-176b

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  5 in total

1.  Vertical characterization of soil contamination using multi-way modeling--a case study.

Authors:  Kunwar P Singh; Amrita Malik; Ankita Basant; Priyanka Ojha
Journal:  Environ Monit Assess       Date:  2007-11-28       Impact factor: 2.513

2.  Hydrochemistry of wet atmospheric precipitation over an urban area in northern indo-gangetic plains.

Authors:  Kunwar P Singh; Vinod K Singh; Amrita Malik; Neha Sharma; Ramesh C Murthy; Ranjan Kumar
Journal:  Environ Monit Assess       Date:  2006-12-14       Impact factor: 2.513

3.  The use of Mytilus galloprovincialis acetylcholinesterase and glutathione S-transferases activities as biomarkers of environmental contamination along the northwest Portuguese coast.

Authors:  S M Moreira; L Guilhermino
Journal:  Environ Monit Assess       Date:  2005-06       Impact factor: 2.513

4.  Distribution of polycyclic aromatic hydrocarbons in water and bed sediments of the Gomti River, India.

Authors:  Amrita Malik; Priyanka Verma; Arun K Singh; Kunwar P Singh
Journal:  Environ Monit Assess       Date:  2010-03-13       Impact factor: 2.513

5.  Receptor modeling for source apportionment of polycyclic aromatic hydrocarbons in urban atmosphere.

Authors:  Kunwar P Singh; Amrita Malik; Ranjan Kumar; Puneet Saxena; Sarita Sinha
Journal:  Environ Monit Assess       Date:  2007-03-30       Impact factor: 2.513

  5 in total

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