**Identification of Seawater Quality by Multivariate Statistical Analysis in Xisha Islands, South China Sea Identification of Seawater Quality by Multivariate Statistical Analysis in Xisha Islands, South China Sea**

Mei-Lin Wu, Jun-De Dong and You-Shao Wang Mei-Lin Wu, Jun-De Dong and You-Shao Wang

Additional information is available at the end of the chapter Additional information is available at the end of the chapter

http://dx.doi.org/10.5772/66227

### **Abstract**

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Xisha waters are considered to be in pristine condition, while facing the fast increasing stress under anthropogenic activities. Water quality around Yongxing Island (YX) has been measured in May, 2012. The results show that the water quality is of the first class standards as compared to the water quality of China, with insignificant difference among the monitoring stations. Robust principal component analysis (PCA) was used to identify the spatial pattern of water quality. YX is characterized by high DO, salinity, and Chl-a with low nutrients, indicating phytoplankton photosynthesis is stronger in YX island waters than the rest of the study areas. Beidao (BD) is characterized by high NH<sup>4</sup> -N and COD, and low pH, implying that these areas may have higher organic matter decomposition than rest of the areas. The water quality monitoring stations should cover spatially and temporally around Xisha waters for protecting the marine environment.

**Keywords:** water quality, Xisha, principal component analysis, marine environment protection, nutrients
