DSpace
 
  Repositório Institucional da Universidade de Aveiro > Departamento de Biologia > BIO - Artigos >
 Assessment of anthropogenic sources of water pollution using multivariate statistical techniques: a case study of the Alqueva's reservoir, Portugal
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/6351

title: Assessment of anthropogenic sources of water pollution using multivariate statistical techniques: a case study of the Alqueva's reservoir, Portugal
authors: Palma, P
Alvarenga, P
Palma, VL
Fernandes, RM
Soares, AMVM
Barbosa, IR
keywords: Alqueva reservoir
Surface water quality
Cluster analysis
Factor analysis
Principal component analysis
issue date: 2010
publisher: Springer Verlag
abstract: Multivariate statistical techniques were applied to evaluate spatial/temporal variations, and to interpret water quality data set obtained at Alqueva reservoir (south of Portugal). The water quality was monitored at nine different sites, along the water line, over a period of 18 months (from January 2006 to May 2007) using 26 water quality parameters. The cluster analysis allowed the formation of five different similarity groups between sampling sites, reflecting differences on the water quality at different locations of the Alqueva reservoir system. The PCA/FA identified six varifactors, which were responsible for 64% of total variance in water quality data set. The principal parameters, which explained the variability of quality water, were total phosphorus, oxidability, iron, parameters that at high concentrations indicate pollution from anthropogenic sources, and herbicides indicative of an intensive agricultural activity. The spatial analysis showed that the water quality was worse in the north of the reservoir.
URI: http://hdl.handle.net/10773/6351
ISSN: 0167-6369
publisher version/DOI: http://dx.doi.org/10.1007/s10661-009-0965-y
source: Environmental Monitoring and Assessment
appears in collectionsBIO - Artigos

files in this item

file description sizeformat
206_EnvMonitAss_2010_165_539.pdf742.65 kBAdobe PDFview/open
Restrict Access. You can Request a copy!
statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! RCAAP OpenAIRE DeGóis
ria-repositorio@ua.pt - Copyright ©   Universidade de Aveiro - RIA Statistics - Powered by MIT's DSpace software, Version 1.6.2