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Evaluation of surface water quality using multivariate statistical techniques: a case study of Fei-Tsui Reservoir basin, Taiwan

Biochemical oxygen demand; Cluster analysis; Discriminant analysis; Dissolved oxygen; Hierarchical systems; Multivariant analysis; Organic pollutants; Pollution; Potable water; Principal component analysis; Reservoir management; Reservoirs (water); River pollution; Sampling; Statistical methods; Sur...

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Main Authors:	Chow M.F., Shiah F.K., Lai C.C., Kuo H.Y., Wang K.W., Lin C.H., Chen T.Y., Kobayashi Y., Ko C.Y.
Other Authors:	57214146115
Format:	Article
Published:	Springer Verlag 2023
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spelling	my.uniten.dspace-230032023-05-29T14:14:04Z Evaluation of surface water quality using multivariate statistical techniques: a case study of Fei-Tsui Reservoir basin, Taiwan Chow M.F. Shiah F.K. Lai C.C. Kuo H.Y. Wang K.W. Lin C.H. Chen T.Y. Kobayashi Y. Ko C.Y. 57214146115 7003601734 36628881300 36628692800 55998744700 56110362400 58070365400 55999169700 55999097100 Biochemical oxygen demand; Cluster analysis; Discriminant analysis; Dissolved oxygen; Hierarchical systems; Multivariant analysis; Organic pollutants; Pollution; Potable water; Principal component analysis; Reservoir management; Reservoirs (water); River pollution; Sampling; Statistical methods; Surface waters; Turbidity; Water; Water pollution; Water quality; Hierarchical cluster analysis; Multivariate statistical techniques; Non-point sources pollutions; Restoration and protection; Spatiotemporal patterns; Sustainable management; Total dissolved solids; Water quality variations; Quality control; anthropogenic source; biochemical oxygen demand; cluster analysis; discriminant analysis; dissolved oxygen; drinking water; nonpoint source pollution; organic pollutant; principal component analysis; reservoir; river basin; surface water; water quality; water temperature; Taiwan The evaluation and interpretation of the spatio-temporal pattern of surface water quality is crucial for the assessment, restoration and protection of drinking water sources. This case study reports different multivariate statistical techniques such as cluster analysis, factor analysis/principal component analysis (FA/PCA) and discriminant analysis, which had been applied for 6�years (2005�2010) water quality data set generated from 19 parameters at 14 different sites within the Fei-Tsui Reservoir basin. Hierarchical cluster analysis grouped 14 sampling sites into three clusters: high-, moderate- and low-pollution regions. This study revealed that water release from the dam outlet will further increase the concentrations of pollutants in the downstream river. PCA/FA did not result in considerable data reduction, as it points to 13 parameters (68�% of original 19) required to explain the 72.8�% of the total variance in the water quality data set. The varifactors obtained from PCA suggested that parameters responsible for water quality variation were mainly related to mineral-related parameters (natural), nutrient group (non-point sources pollution), physical parameters (natural) and organic pollutants (anthropogenic sources). Discriminant analysis used only five parameters: water temperature, dissolved oxygen (DO), calcium, total dissolved solids (TDS) and turbidity; and seven parameters: BOD, DO, nitrate nitrogen, TDS, total alkalinity, turbidity and WT, to discriminate between temporal and spatial with 88 and 90�% correct assignation, respectively. This study illustrated the usefulness of multivariate statistical techniques for designing the sampling and analytical protocol, analysis and interpretation of complex data sets, identification of pollution sources/factors, and provides a reliable guideline for selecting the priorities of possible controlling measures in the sustainable management of Fei-Tsui Reservoir basin. � 2015, Springer-Verlag Berlin Heidelberg. Final 2023-05-29T06:14:04Z 2023-05-29T06:14:04Z 2016 Article 10.1007/s12665-015-4922-5 2-s2.0-84950311513 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84950311513&doi=10.1007%2fs12665-015-4922-5&partnerID=40&md5=cbed3111be1e946eec6510ddf6a5eba7 https://irepository.uniten.edu.my/handle/123456789/23003 75 1 6 1 15 Springer Verlag Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	Biochemical oxygen demand; Cluster analysis; Discriminant analysis; Dissolved oxygen; Hierarchical systems; Multivariant analysis; Organic pollutants; Pollution; Potable water; Principal component analysis; Reservoir management; Reservoirs (water); River pollution; Sampling; Statistical methods; Surface waters; Turbidity; Water; Water pollution; Water quality; Hierarchical cluster analysis; Multivariate statistical techniques; Non-point sources pollutions; Restoration and protection; Spatiotemporal patterns; Sustainable management; Total dissolved solids; Water quality variations; Quality control; anthropogenic source; biochemical oxygen demand; cluster analysis; discriminant analysis; dissolved oxygen; drinking water; nonpoint source pollution; organic pollutant; principal component analysis; reservoir; river basin; surface water; water quality; water temperature; Taiwan
author2	57214146115
author_facet	57214146115 Chow M.F. Shiah F.K. Lai C.C. Kuo H.Y. Wang K.W. Lin C.H. Chen T.Y. Kobayashi Y. Ko C.Y.
format	Article
author	Chow M.F. Shiah F.K. Lai C.C. Kuo H.Y. Wang K.W. Lin C.H. Chen T.Y. Kobayashi Y. Ko C.Y.
spellingShingle	Chow M.F. Shiah F.K. Lai C.C. Kuo H.Y. Wang K.W. Lin C.H. Chen T.Y. Kobayashi Y. Ko C.Y. Evaluation of surface water quality using multivariate statistical techniques: a case study of Fei-Tsui Reservoir basin, Taiwan
author_sort	Chow M.F.
title	Evaluation of surface water quality using multivariate statistical techniques: a case study of Fei-Tsui Reservoir basin, Taiwan
title_short	Evaluation of surface water quality using multivariate statistical techniques: a case study of Fei-Tsui Reservoir basin, Taiwan
title_full	Evaluation of surface water quality using multivariate statistical techniques: a case study of Fei-Tsui Reservoir basin, Taiwan
title_fullStr	Evaluation of surface water quality using multivariate statistical techniques: a case study of Fei-Tsui Reservoir basin, Taiwan
title_full_unstemmed	Evaluation of surface water quality using multivariate statistical techniques: a case study of Fei-Tsui Reservoir basin, Taiwan
title_sort	evaluation of surface water quality using multivariate statistical techniques: a case study of fei-tsui reservoir basin, taiwan
publisher	Springer Verlag
publishDate	2023
_version_	1806424099497443328
score	13.222552

Evaluation of surface water quality using multivariate statistical techniques: a case study of Fei-Tsui Reservoir basin, Taiwan

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