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Identification of Surface Water Quality along the Coast of Sanya, South China Sea

Principal component analysis (PCA) and cluster analysis (CA) are utilized to identify the effects caused by human activities on water quality along the coast of Sanya, South China Sea. PCA and CA identify the seasonality of water quality (dry and wet seasons) and polluted status (polluted area). The...

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Autores principales: Wu, Zhen-Zhen, Che, Zhi-Wei, Wang, You-Shao, Dong, Jun-De, Wu, Mei-Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4404355/
https://www.ncbi.nlm.nih.gov/pubmed/25894980
http://dx.doi.org/10.1371/journal.pone.0123515
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author Wu, Zhen-Zhen
Che, Zhi-Wei
Wang, You-Shao
Dong, Jun-De
Wu, Mei-Lin
author_facet Wu, Zhen-Zhen
Che, Zhi-Wei
Wang, You-Shao
Dong, Jun-De
Wu, Mei-Lin
author_sort Wu, Zhen-Zhen
collection PubMed
description Principal component analysis (PCA) and cluster analysis (CA) are utilized to identify the effects caused by human activities on water quality along the coast of Sanya, South China Sea. PCA and CA identify the seasonality of water quality (dry and wet seasons) and polluted status (polluted area). The seasonality of water quality is related to climate change and Southeast monsoons. Spatial pattern is mainly related to anthropogenic activities (especially land input of pollutions). PCA reveals the characteristics underlying the generation of coastal water quality. The temporal and spatial variation of the trophic status along the coast of Sanya is governed by hydrodynamics and human activities. The results provide a novel typological understanding of seasonal trophic status in a shallow, tropical, open marine bay.
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spelling pubmed-44043552015-05-02 Identification of Surface Water Quality along the Coast of Sanya, South China Sea Wu, Zhen-Zhen Che, Zhi-Wei Wang, You-Shao Dong, Jun-De Wu, Mei-Lin PLoS One Research Article Principal component analysis (PCA) and cluster analysis (CA) are utilized to identify the effects caused by human activities on water quality along the coast of Sanya, South China Sea. PCA and CA identify the seasonality of water quality (dry and wet seasons) and polluted status (polluted area). The seasonality of water quality is related to climate change and Southeast monsoons. Spatial pattern is mainly related to anthropogenic activities (especially land input of pollutions). PCA reveals the characteristics underlying the generation of coastal water quality. The temporal and spatial variation of the trophic status along the coast of Sanya is governed by hydrodynamics and human activities. The results provide a novel typological understanding of seasonal trophic status in a shallow, tropical, open marine bay. Public Library of Science 2015-04-20 /pmc/articles/PMC4404355/ /pubmed/25894980 http://dx.doi.org/10.1371/journal.pone.0123515 Text en © 2015 Wu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wu, Zhen-Zhen
Che, Zhi-Wei
Wang, You-Shao
Dong, Jun-De
Wu, Mei-Lin
Identification of Surface Water Quality along the Coast of Sanya, South China Sea
title Identification of Surface Water Quality along the Coast of Sanya, South China Sea
title_full Identification of Surface Water Quality along the Coast of Sanya, South China Sea
title_fullStr Identification of Surface Water Quality along the Coast of Sanya, South China Sea
title_full_unstemmed Identification of Surface Water Quality along the Coast of Sanya, South China Sea
title_short Identification of Surface Water Quality along the Coast of Sanya, South China Sea
title_sort identification of surface water quality along the coast of sanya, south china sea
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4404355/
https://www.ncbi.nlm.nih.gov/pubmed/25894980
http://dx.doi.org/10.1371/journal.pone.0123515
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