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Journal ArticleDOI

Pattern recognition techniques for the evaluation of spatial and temporal variations in water quality. A case study: Suquía River Basin (Cordoba-Argentina).

TLDR
In this paper, a comparative study using three different chemometric techniques to evaluate both spatial and temporal changes in Suquia River water quality, with a special emphasis on the improvement obtained using discriminant analysis for such evaluation.
About
This article is published in Water Research.The article was published on 2001-08-01. It has received 859 citations till now. The article focuses on the topics: Principal component analysis & Spatial variability.

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Citations
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Journal ArticleDOI

Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan

TL;DR: This study illustrates the usefulness of multivariate statistical techniques for analysis and interpretation of complex data sets, and in water quality assessment, identification of pollution sources/factors and understanding temporal/spatial variations in waterquality for effective river water quality management.
Journal ArticleDOI

Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India)—a case study

TL;DR: This study presents necessity and usefulness of multivariate statistical techniques for evaluation and interpretation of large complex data sets with a view to get better information about the water quality and design of monitoring network for effective management of water resources.
Journal ArticleDOI

Assessment of the surface water quality in Northern Greece.

TL;DR: The necessity and usefulness of multivariate statistical assessment of large and complex databases in order to get better information about the quality of surface water, the design of sampling and analytical protocols and the effective pollution control/management of the surface waters is presented.
Journal ArticleDOI

Water quality assessment and apportionment of pollution sources of Gomti river (India) using multivariate statistical techniques—a case study

TL;DR: In this paper, multivariate statistical techniques, such as cluster analysis, factor analysis, principal component analysis and discriminant analysis, were applied to the data set on water quality of the Gomti river.
Journal ArticleDOI

Using historical data, expert judgement and multivariate analysis in assessing reference conditions and benthic ecological status, according to the European Water Framework Directive.

TL;DR: In this contribution the use of the AMBI, richness and diversity, combined with the use, in a further development, of factor analysis together with discriminant analysis, is presented as an objective tool in assessing ecological quality status.
References
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Book

Applied Multivariate Statistical Analysis

TL;DR: In this article, the authors present an overview of the basic concepts of multivariate analysis, including matrix algebra and random vectors, as well as a strategy for analyzing multivariate models.
Journal ArticleDOI

Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis

TL;DR: In this article, an ANOVA of the rotated principal components has demonstrated that mineral contents are seasonal and climate dependent, thus pointing to a natural origin for this polluting form and pollution by organic matter and nutrients originates from anthropogenic sources, mainly as municipal wastewater.
Journal ArticleDOI

Temporal evolution of groundwater composition in an alluvial aquifer (Pisuerga river, Spain) by Principal Component Analysis.

TL;DR: A set of quantitative analytical data from the alluvial aquifer of the Pisuerga river, located at the north-east of Valladolid (Spain), has been processed by multivariate statistical techniques in order to investigate the evolution of the groundwater composition between two surveys as mentioned in this paper.
Book

Water Quality Assessments

TL;DR: Water quality assessment as discussed by the authors :, Water quality assessments :, water quality assessment :, مرکز فناوری اطلاعات و اشاouرزی
Journal ArticleDOI

Use of water quality indices to verify the impact of Córdoba City (Argentina) on Suquía River.

TL;DR: The usefulness of water quality indices (WQI) to assess the water quality from multiple measured parameters, and to evaluate spatial and temporal changes, is verified and could be of particular interest for developing countries.
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