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Journal ArticleDOI

Assessment of the surface water quality in Northern Greece.

TLDR
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.
About
This article is published in Water Research.The article was published on 2003-10-01. It has received 1136 citations till now. The article focuses on the topics: Sampling (statistics) & Multivariate statistics.

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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

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

Heavy metals in drinking water: Occurrences, implications, and future needs in developing countries.

TL;DR: This paper aims to review the state of research on heavy metals in drinking water in developing countries; understand their types and variability, sources, exposure, possible health effects, and removal; and analyze the factors contributing to heavy metalsIn drinking water.
Journal ArticleDOI

Application of water quality index for groundwater quality assessment: Thirumanimuttar sub-basin, Tamilnadu, India

TL;DR: An attempt has been made to understand the hydrogeochemical parameters to develop water quality index in Thirumanimuttar sub-basin and alkalis exceed alkaline earths, and strong acids exceed weak acid.
References
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Book

Standard methods for the examination of water and wastewater

TL;DR: The most widely read reference in the water industry, Water Industry Reference as discussed by the authors, is a comprehensive reference tool for water analysis methods that covers all aspects of USEPA-approved water analysis.
Journal ArticleDOI

Nonpoint pollution of surface waters with phosphorus and nitrogen

TL;DR: In this article, a review of the available scientific information, they are confident that nonpoint pollution of surface waters with P and N could be reduced by reducing surplus nutrient flows in agricultural systems and processes, reducing agricultural and urban runoff by diverse methods, and reducing N emissions from fossil fuel burning, but rates of recovery are highly variable among water bodies.
Journal ArticleDOI

A quantitative assessment of source contributions to inhalable particulate matter pollution in metropolitan boston

TL;DR: In this paper, a Principal Component Analysis (PCA) of paniculate elemental data is employed to identify and quantify the major particle pollution source classes affecting a monitoring site in metropolitan Boston, MA.
Journal ArticleDOI

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

TL;DR: 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.
Book

The Interpretation of Analytical Chemical Data by the Use of Cluster Analysis

TL;DR: A practical, user-oriented introduction to clustering methods, including both hierarchical and non-hierarchical methods that shows how clustering can be used to interpret large quantities of analytical data and discusses the relation of clustering to other pattern recognition techniques.
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