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
Format:	Artikel
Sprache:	eng
Schlagworte:	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
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