Literature DB >> 17386537

Temporal characterisation of river waters in urban and semi-urban areas using physico-chemical parameters and chemometric methods.

M Felipe-Sotelo1, J M Andrade, A Carlosena, R Tauler.   

Abstract

Three sampling campaigns were carried out in rivers located at two hydrographic basins affected by urban and semi-urban areas around the Metropolitan area of A Coruña (ca. 500,000 inhabitants, NW-Spain) to study local and temporal variations of 21 physicochemical parameters (pH, conductivity, Cl-, SO4(2-), SiO2, Ca2+, Mg2+, Na+, K+, hardness, NO3(-), NO2(-), NH4(+), COD, PO4(3-), Zn2+, Cu2+, Mn2+, Pb2+, alkalinity and acidity) in 23 sampling points. The temporal evolution of the water quality was assessed by matrix augmentation principal components analysis (MA-PCA) and parallel factor analysis (PARAFAC). Moreover, classical principal components analysis (PCA) (one per sampling campaign) was applied with exploratory and comparison purposes. The first factor of the different studies comprised variables associated to the mineral content and it differentiated the samples according to their hydrographic basins. The second factor was mainly associated to organic matter, from domestic wastes and decomposition of natural debris. The temporal evolution of the water quality was mostly related to seasonal increments of the physicochemical parameters defining the decomposition of the organic matter. The three models applied (PCA, MA-PCA and PARAFAC) led to similar conclusions, nonetheless, MA-PCA excelled, since the refolding of scores provided more straightforward and convenient overview of sample time and geographical variations than individual PCA and it is more flexible and adaptable to environmental studies than PARAFAC.

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Year:  2006        PMID: 17386537     DOI: 10.1016/j.aca.2006.10.011

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  5 in total

1.  Application of multivariate statistical techniques to evaluation of water quality in the Mała Wełna River (Western Poland).

Authors:  M Sojka; M Siepak; A Zioła; M Frankowski; S Murat-Błazejewska; J Siepak
Journal:  Environ Monit Assess       Date:  2007-12-27       Impact factor: 2.513

2.  Groundwater pollution source apportionment using principal component analysis in a multiple land-use area in southwestern China.

Authors:  Qiling Li; Han Zhang; Shanshan Guo; Kang Fu; Lei Liao; Yi Xu; Siqian Cheng
Journal:  Environ Sci Pollut Res Int       Date:  2019-08-28       Impact factor: 4.223

3.  Investigating hydrochemistry of groundwater in Indo-Gangetic alluvial plain using multivariate chemometric approaches.

Authors:  Kunwar P Singh; Shikha Gupta; Premanjali Rai
Journal:  Environ Sci Pollut Res Int       Date:  2014-01-25       Impact factor: 4.223

4.  Application of receptor models on water quality data in source apportionment in Kuantan River Basin.

Authors:  Mohd Fahmi Mohd Nasir; Munirah Abdul Zali; Hafizan Juahir; Hashimah Hussain; Sharifuddin M Zain; Norlafifah Ramli
Journal:  Iranian J Environ Health Sci Eng       Date:  2012-12-10

5.  Multiway real-time PCR gene expression profiling in yeast Saccharomyces cerevisiae reveals altered transcriptional response of ADH-genes to glucose stimuli.

Authors:  Anders Ståhlberg; Karin Elbing; José Manuel Andrade-Garda; Björn Sjögreen; Amin Forootan; Mikael Kubista
Journal:  BMC Genomics       Date:  2008-04-16       Impact factor: 3.969

  5 in total

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