Identification of temporal and spatial variations of water quality in Sanya Bay,China by three-way principal component analysis |
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| Authors: | Jun-De Dong Yan-Ying Zhang Si Zhang You-Shao Wang Zhi-Hao Yang Mei-Lin Wu |
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| Institution: | 1.LMB, South China Sea Institute of Oceanology,Chinese Academy of Sciences,Guangzhou,China;2.LED, South China Sea Institute of Oceanology,Chinese Academy of Sciences,Guangzhou,China;3.Tropical Marine Biological Research Station in Hainan,Chinese Academy of Sciences,Sanya,China |
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| Abstract: | A large data set obtained by a 1-year monthly determination of water quality from Sanya Bay, South China Sea, was treated
by three-way principal component analysis aimed at exploring the spatial and temporal patterns of water quality in Sanya Bay.
Tucker3 model of optimum complexity (2, 2, 1) explaining 33.18% of the data variance, allowed interpretation of the data information
in three modes. The model explained spatial and temporal variation trends in terms of water quality variables during the study
period. Water quality in sampling station (S2) Sanya River was mainly influenced by Sanya River, and water quality in other
stations (S1, S3–S10) were mainly influenced by the waters in South China Sea. The results delineated the mouth of Sanya River
as critical from pollution point of view. The dry season from October to the next April and rainy season from May to September
have different influences on water quality in Sanya Bay. The information extracted by the three-way models would be very useful
to regional agencies in developing a strategy to carry out scientific plans for resource use based on marine system functions. |
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