Application Factor Analysis for the Evaluation Surface Water and Sediment Quality

Water quality monitoring has one of the highest priorities in environmental protection policy. The main objectives are to control and minimise the incidence of pollutant-oriented problems, and to provide water of appropriate quality to serve various purposes such as drinking water supply, irrigation...

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Main Authors: E. Singovszka, M. Balintova
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2012-05-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/7416
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spelling doaj-6a2c3d3b8b464aa19bcc096a0c8158c72021-02-22T21:10:10ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162012-05-012610.3303/CET1226031Application Factor Analysis for the Evaluation Surface Water and Sediment QualityE. SingovszkaM. BalintovaWater quality monitoring has one of the highest priorities in environmental protection policy. The main objectives are to control and minimise the incidence of pollutant-oriented problems, and to provide water of appropriate quality to serve various purposes such as drinking water supply, irrigation water, etc. Factor analysis attempts to explain the correlations between the observations in terms of the underlying factors, which are not directly observable. In the present study, factor analysis is applied to physico-chemical parameters of Smolnik creek, Slovakia, with the aim classification and data summation as well as segmentation of large heterogeneous data sets into smaller homogeneous subsets that can be easily managed, separately modelled and analysed. The paper deals with evaluation of the surface water and sediment quality relate to acid mine drainage (AMD) producing from abandoned sulphide mine in Smolnik (Slovak Republic) by factor analysis. This study underscores the value of multivariate statistical analysis for evaluation and interpretation of the data with a view to stimulating better policy outcomes and decision-making that positively impacts water quality and thus prospectively diminishes the pollution caused by hazardous toxic elements in mining environments.https://www.cetjournal.it/index.php/cet/article/view/7416
collection DOAJ
language English
format Article
sources DOAJ
author E. Singovszka
M. Balintova
spellingShingle E. Singovszka
M. Balintova
Application Factor Analysis for the Evaluation Surface Water and Sediment Quality
Chemical Engineering Transactions
author_facet E. Singovszka
M. Balintova
author_sort E. Singovszka
title Application Factor Analysis for the Evaluation Surface Water and Sediment Quality
title_short Application Factor Analysis for the Evaluation Surface Water and Sediment Quality
title_full Application Factor Analysis for the Evaluation Surface Water and Sediment Quality
title_fullStr Application Factor Analysis for the Evaluation Surface Water and Sediment Quality
title_full_unstemmed Application Factor Analysis for the Evaluation Surface Water and Sediment Quality
title_sort application factor analysis for the evaluation surface water and sediment quality
publisher AIDIC Servizi S.r.l.
series Chemical Engineering Transactions
issn 2283-9216
publishDate 2012-05-01
description Water quality monitoring has one of the highest priorities in environmental protection policy. The main objectives are to control and minimise the incidence of pollutant-oriented problems, and to provide water of appropriate quality to serve various purposes such as drinking water supply, irrigation water, etc. Factor analysis attempts to explain the correlations between the observations in terms of the underlying factors, which are not directly observable. In the present study, factor analysis is applied to physico-chemical parameters of Smolnik creek, Slovakia, with the aim classification and data summation as well as segmentation of large heterogeneous data sets into smaller homogeneous subsets that can be easily managed, separately modelled and analysed. The paper deals with evaluation of the surface water and sediment quality relate to acid mine drainage (AMD) producing from abandoned sulphide mine in Smolnik (Slovak Republic) by factor analysis. This study underscores the value of multivariate statistical analysis for evaluation and interpretation of the data with a view to stimulating better policy outcomes and decision-making that positively impacts water quality and thus prospectively diminishes the pollution caused by hazardous toxic elements in mining environments.
url https://www.cetjournal.it/index.php/cet/article/view/7416
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AT mbalintova applicationfactoranalysisfortheevaluationsurfacewaterandsedimentquality
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