Chemometry use in the evaluation of the sanya bay water quality

• Published in: Brazilian journal of oceanography 2010-12, Vol.58 (4), p.339-352
• Main Authors: Dong, Jun-De(Institute of Oceanology Marine Bio-resources Sustainable Utilization South China Sea Key Laboratory,Institute of Oceanology Tropical Marine Environmental Dynamics South China Key Laboratory,Tropical Marine Biological Research Station in Hainan), Zhang, Yan-Ying(Institute of Oceanology Marine Bio-resources Sustainable Utilization South China Sea Key Laboratory,Institute of Oceanology Tropical Marine Environmental Dynamics South China Key Laboratory,Tropical Marine Biological Research Station in Hainan), Shao Wang, You(Institute of Oceanology Tropical Marine Environmental Dynamics South China Key Laboratory,Tropical Marine Biological Research Station in Hainan), Wu, Mei-Lin(Institute of Oceanology Tropical Marine Environmental Dynamics South China Key Laboratory), Zhang, Si(Institute of Oceanology Marine Bio-resources Sustainable Utilization South China Sea Key Laboratory,Tropical Marine Biological Research Station in Hainan), Cai, Chuang-Hua(Institute of Oceanology Marine Bio-resources Sustainable Utilization South China Sea Key Laboratory,Tropical Marine Biological Research Station in Hainan)
• Format: Article
• Language: English
• Subjects: Baía de Sanya; Chemometric method; Efeito antropogênico; MARINE & FRESHWATER BIOLOGY; Método quimiométrico; Nutrient; OCEANOGRAPHY; Qualidade da água; Sanya Bay, Hainan, China; temporal and spatial variations; Variação espacial; Variação temporal; Water quality
• ISSN: 1679-8759; 1982-436X; 1982-436X; 1679-8759
• DOI: 10.1590/s1679-87592010000400008

In this study, chemometric method is employed to identify anthropogenic effects on the water quality in Sanya Bay, South China Sea, and its marine and natural characteristics. Principal component analysis has extracted the four latent factors, thus explaining 85.52% of the total variance. Cluster analysis and principal component analysis have identified three different patterns of water quality based on anthropogenic effects and marine characteristics: Cluster I located in the outer and middle parts of the bay, Cluster II close to downtown Sanya, Cluster III located in the Sanya River estuary. In terms of the temporal pattern, principal component analysis and cluster analysis have distinguished the dry season from November to the following April, and the rainy season from May to October. The temporal pattern is related to climate and natural characteristics. The similarity index between variables and scores of samples can further distinguish the contribution of the variables to the samples. Both the polluting sources external to the Sanya River and the water from the South China Sea exercise an important influence on the water quality in Sanya Bay. These results may be valuable for socioeconomic development and human health in the Sanya Bay area. No presente estudo foi realizada a identificação dos efeitos antropogênicos e das características naturais marinhas das águas da Baía de Sanya, situada ao sul do Mar da China, através de método quimiométrico. A análise de componentes principais (PCA) aplicada aos dados extraiu quatro eixos que explicaram 85,52% da variância total dos dados. Através das análises de Agrupamento e PCA foram identificados três padrões diferentes de qualidade das águas, baseados nos efeitos antropogênicos e nas características marinhas: Grupo I, localizado nas partes externa e mediana da baía; Grupo II, próximo do centro urbano de Sanya; Grupo III, localizado no estuário do Rio Sanya. Quanto ao padrão temporal, as referidas análises distinguiram uma estação seca, de novembro a abril, e uma estação chuvosa, de maio a outubro, relacionadas ao clima e características naturais. Foi visto que tanto a fonte poluidora externa, representada pelo Rio Sanya, quanto as águas do Mar do Sul da China influenciam a qualidade das águas da Baía de Sanya. Esses resultados podem ser relevantes quando considerados sob o ponto de vista do desenvolvimento socioeconômico e de saúde humana dessa região.