Application of the chemometric approach to evaluate the spatial variation of water chemistry and the identification of the sources of pollution in Langat River, Malaysia

The current study presents the application of selected chemometric techniques—hierarchical cluster analysis (HCA) and principal component analysis (PCA)—to evaluate the spatial variation of the water chemistry and to classify the pollution sources in the Langat River. The HCA rendered the sampling s...

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Main Authors: Lim, Wan Ying, Aris, Ahmad Zaharin, Praveena, Sarva Mangala
Format: Article
Language:English
Published: Springer 2013
Online Access:http://psasir.upm.edu.my/id/eprint/29716/
http://psasir.upm.edu.my/id/eprint/29716/1/Application%20of%20the%20chemometric%20approach%20to%20evaluate%20the%20spatial%20variation%20of%20water%20chemistry%20and%20the%20identification%20of%20the%20sources%20of%20pollution%20in%20Langat%20River.pdf
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author Lim, Wan Ying
Aris, Ahmad Zaharin
Praveena, Sarva Mangala
author_facet Lim, Wan Ying
Aris, Ahmad Zaharin
Praveena, Sarva Mangala
author_sort Lim, Wan Ying
building UPM Institutional Repository
collection Online Access
description The current study presents the application of selected chemometric techniques—hierarchical cluster analysis (HCA) and principal component analysis (PCA)—to evaluate the spatial variation of the water chemistry and to classify the pollution sources in the Langat River. The HCA rendered the sampling stations into two clusters (group 1 and group 2) and identified the vulnerable stations that are under threat. Group1 (LY 1 to LY 14) is associated with seawater intrusion, while group 2 (LY 15 to LY 30) is associated with agricultural and industrial pollution. PCA analysis was applied to the water datasets for group 1 resulting in four components, which explained 85 % of the total variance while group 2 extracted six components, explaining 88 % of the variance. The components obtained from PCA indicated that seawater intrusion, agricultural and industrial pollution, and geological weathering were potential sources of pollution to the study area. This study demonstrated the usefulness of the chemometric techniques on the interpretation of large complex datasets for the effective management of water resources.
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spelling upm-297162015-10-01T03:33:22Z http://psasir.upm.edu.my/id/eprint/29716/ Application of the chemometric approach to evaluate the spatial variation of water chemistry and the identification of the sources of pollution in Langat River, Malaysia Lim, Wan Ying Aris, Ahmad Zaharin Praveena, Sarva Mangala The current study presents the application of selected chemometric techniques—hierarchical cluster analysis (HCA) and principal component analysis (PCA)—to evaluate the spatial variation of the water chemistry and to classify the pollution sources in the Langat River. The HCA rendered the sampling stations into two clusters (group 1 and group 2) and identified the vulnerable stations that are under threat. Group1 (LY 1 to LY 14) is associated with seawater intrusion, while group 2 (LY 15 to LY 30) is associated with agricultural and industrial pollution. PCA analysis was applied to the water datasets for group 1 resulting in four components, which explained 85 % of the total variance while group 2 extracted six components, explaining 88 % of the variance. The components obtained from PCA indicated that seawater intrusion, agricultural and industrial pollution, and geological weathering were potential sources of pollution to the study area. This study demonstrated the usefulness of the chemometric techniques on the interpretation of large complex datasets for the effective management of water resources. Springer 2013-12 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/29716/1/Application%20of%20the%20chemometric%20approach%20to%20evaluate%20the%20spatial%20variation%20of%20water%20chemistry%20and%20the%20identification%20of%20the%20sources%20of%20pollution%20in%20Langat%20River.pdf Lim, Wan Ying and Aris, Ahmad Zaharin and Praveena, Sarva Mangala (2013) Application of the chemometric approach to evaluate the spatial variation of water chemistry and the identification of the sources of pollution in Langat River, Malaysia. Arabian Journal of Geosciences, 6 (12). pp. 4891-4901. ISSN 1866-7511; ESSN: 1866-7538 10.1007/s12517-012-0756-6
spellingShingle Lim, Wan Ying
Aris, Ahmad Zaharin
Praveena, Sarva Mangala
Application of the chemometric approach to evaluate the spatial variation of water chemistry and the identification of the sources of pollution in Langat River, Malaysia
title Application of the chemometric approach to evaluate the spatial variation of water chemistry and the identification of the sources of pollution in Langat River, Malaysia
title_full Application of the chemometric approach to evaluate the spatial variation of water chemistry and the identification of the sources of pollution in Langat River, Malaysia
title_fullStr Application of the chemometric approach to evaluate the spatial variation of water chemistry and the identification of the sources of pollution in Langat River, Malaysia
title_full_unstemmed Application of the chemometric approach to evaluate the spatial variation of water chemistry and the identification of the sources of pollution in Langat River, Malaysia
title_short Application of the chemometric approach to evaluate the spatial variation of water chemistry and the identification of the sources of pollution in Langat River, Malaysia
title_sort application of the chemometric approach to evaluate the spatial variation of water chemistry and the identification of the sources of pollution in langat river, malaysia
url http://psasir.upm.edu.my/id/eprint/29716/
http://psasir.upm.edu.my/id/eprint/29716/
http://psasir.upm.edu.my/id/eprint/29716/1/Application%20of%20the%20chemometric%20approach%20to%20evaluate%20the%20spatial%20variation%20of%20water%20chemistry%20and%20the%20identification%20of%20the%20sources%20of%20pollution%20in%20Langat%20River.pdf