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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Veröffentlicht in:PloS one 2015-04, Vol.10 (4), p.e0123515-e0123515
Hauptverfasser: Wu, Zhen-Zhen, Che, Zhi-Wei, Wang, You-Shao, Dong, Jun-De, Wu, Mei-Lin
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Che, Zhi-Wei
Wang, You-Shao
Dong, Jun-De
Wu, Mei-Lin
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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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. 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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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25894980</pmid><doi>10.1371/journal.pone.0123515</doi><oa>free_for_read</oa></addata></record>
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subjects Analysis
Anthropogenic factors
China
Chlorophyll - analysis
Climate change
Cluster Analysis
Coastal environments
Coastal water quality
Coastal waters
Ecosystem
Fluid dynamics
Fluid flow
Geography
Human influences
Hydrodynamics
Land pollution
Metals, Heavy - analysis
Monsoon climates
Monsoons
Nitrates - analysis
Oceans and Seas
Principal Component Analysis
Principal components analysis
Rainy season
Rivers
Seasonal variations
Seasons
Seawater
Surface water
Surface water quality
Temperature
Time Factors
Trophic levels
Trophic status
Water Pollutants, Chemical - analysis
Water pollution
Water Quality
Water resources
Wind
title Identification of Surface Water Quality along the Coast of Sanya, South China Sea
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