Assessment of Near-Bottom Water Quality of Southwestern Coast of Sarawak, Borneo, Malaysia: A Multivariate Statistical Approach

The study on Sarawak coastal water quality is scarce, not to mention the application of the multivariate statistical approach to investigate the spatial variation of water quality and to identify the pollution source in Sarawak coastal water. Hence, the present study aimed to evaluate the spatial...

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Main Authors: Chen-Lin, Soo, Cheng-Ann, Chen, Shabdin, Mohd Long
Format: E-Article
Language:English
Published: Hindawi Publishing Corporation 2017
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Online Access:http://ir.unimas.my/id/eprint/17118/1/Assessment%20of%20Near-Bottom%20Water%20Quality%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/17118/
https://www.hindawi.com/journals/jchem/2017/1590329/abs/
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spelling my.unimas.ir.171182017-08-22T01:12:49Z http://ir.unimas.my/id/eprint/17118/ Assessment of Near-Bottom Water Quality of Southwestern Coast of Sarawak, Borneo, Malaysia: A Multivariate Statistical Approach Chen-Lin, Soo Cheng-Ann, Chen Shabdin, Mohd Long GE Environmental Sciences The study on Sarawak coastal water quality is scarce, not to mention the application of the multivariate statistical approach to investigate the spatial variation of water quality and to identify the pollution source in Sarawak coastal water. Hence, the present study aimed to evaluate the spatial variation of water quality along the coastline of the southwestern region of Sarawak using multivariate statistical techniques. Seventeen physicochemical parameters were measured at 11 stations along the coastline with approximately 225 km length. The coastal water quality showed spatial heterogeneity where the cluster analysis grouped the 11 stations into four different clusters. Deterioration in coastal water quality has been observed in different regions of Sarawak corresponding to land use patterns in the region.Nevertheless, nitrate-nitrogen exceeded the guideline value at all sampling stations along the coastline. The principal component analysis (PCA) has determined a reduced number of five principal components that explained 89.0% of the data set variance. The first PC indicated that the nutrients were the dominant polluting factors, which is attributed to the domestic, agricultural, and aquaculture activities, followed by the suspended solids in the second PC which are related to the logging activities. Hindawi Publishing Corporation 2017 E-Article PeerReviewed text en http://ir.unimas.my/id/eprint/17118/1/Assessment%20of%20Near-Bottom%20Water%20Quality%20%28abstract%29.pdf Chen-Lin, Soo and Cheng-Ann, Chen and Shabdin, Mohd Long (2017) Assessment of Near-Bottom Water Quality of Southwestern Coast of Sarawak, Borneo, Malaysia: A Multivariate Statistical Approach. Journal of Chemistry, 2017. ISSN 2090-9071 https://www.hindawi.com/journals/jchem/2017/1590329/abs/ doi : 10.1155/2017/1590329
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic GE Environmental Sciences
spellingShingle GE Environmental Sciences
Chen-Lin, Soo
Cheng-Ann, Chen
Shabdin, Mohd Long
Assessment of Near-Bottom Water Quality of Southwestern Coast of Sarawak, Borneo, Malaysia: A Multivariate Statistical Approach
description The study on Sarawak coastal water quality is scarce, not to mention the application of the multivariate statistical approach to investigate the spatial variation of water quality and to identify the pollution source in Sarawak coastal water. Hence, the present study aimed to evaluate the spatial variation of water quality along the coastline of the southwestern region of Sarawak using multivariate statistical techniques. Seventeen physicochemical parameters were measured at 11 stations along the coastline with approximately 225 km length. The coastal water quality showed spatial heterogeneity where the cluster analysis grouped the 11 stations into four different clusters. Deterioration in coastal water quality has been observed in different regions of Sarawak corresponding to land use patterns in the region.Nevertheless, nitrate-nitrogen exceeded the guideline value at all sampling stations along the coastline. The principal component analysis (PCA) has determined a reduced number of five principal components that explained 89.0% of the data set variance. The first PC indicated that the nutrients were the dominant polluting factors, which is attributed to the domestic, agricultural, and aquaculture activities, followed by the suspended solids in the second PC which are related to the logging activities.
format E-Article
author Chen-Lin, Soo
Cheng-Ann, Chen
Shabdin, Mohd Long
author_facet Chen-Lin, Soo
Cheng-Ann, Chen
Shabdin, Mohd Long
author_sort Chen-Lin, Soo
title Assessment of Near-Bottom Water Quality of Southwestern Coast of Sarawak, Borneo, Malaysia: A Multivariate Statistical Approach
title_short Assessment of Near-Bottom Water Quality of Southwestern Coast of Sarawak, Borneo, Malaysia: A Multivariate Statistical Approach
title_full Assessment of Near-Bottom Water Quality of Southwestern Coast of Sarawak, Borneo, Malaysia: A Multivariate Statistical Approach
title_fullStr Assessment of Near-Bottom Water Quality of Southwestern Coast of Sarawak, Borneo, Malaysia: A Multivariate Statistical Approach
title_full_unstemmed Assessment of Near-Bottom Water Quality of Southwestern Coast of Sarawak, Borneo, Malaysia: A Multivariate Statistical Approach
title_sort assessment of near-bottom water quality of southwestern coast of sarawak, borneo, malaysia: a multivariate statistical approach
publisher Hindawi Publishing Corporation
publishDate 2017
url http://ir.unimas.my/id/eprint/17118/1/Assessment%20of%20Near-Bottom%20Water%20Quality%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/17118/
https://www.hindawi.com/journals/jchem/2017/1590329/abs/
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score 13.18916