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

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  • Zhen-Zhen Wu
  • Zhi-Wei Che
  • You-Shao Wang
  • Jun-De Dong
  • Mei-Lin Wu

Abstract

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.

Suggested Citation

  • Zhen-Zhen Wu & Zhi-Wei Che & You-Shao Wang & Jun-De Dong & Mei-Lin Wu, 2015. "Identification of Surface Water Quality along the Coast of Sanya, South China Sea," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-13, April.
    • Handle: RePEc:plo:pone00:0123515
    DOI: 10.1371/journal.pone.0123515
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