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Volume 32 Issue 2
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Article Navigation >  Haiyang Xuebao  > 2010  >  32(2): 128-138
ZHOU Bin, WANG You, WANG Jin-he, LIU Yong, TANG Xue-xi. A multivariate assessment of eutrophication in the coastal waters of the southern Shandong Peninsula[J]. Haiyang Xuebao, 2010, 32(2): 128-138.
Citation: ZHOU Bin, WANG You, WANG Jin-he, LIU Yong, TANG Xue-xi. A multivariate assessment of eutrophication in the coastal waters of the southern Shandong Peninsula[J]. Haiyang Xuebao, 2010, 32(2): 128-138.
shu

A multivariate assessment of eutrophication in the coastal waters of the southern Shandong Peninsula

  • 1.

    College of Marine Life Science, Ocean University of China, Qingdao 266003, China

  • 2.

    College of Marine Life Science, Ocean University of China, Qingdao 266003, China;Dongying City Ocean and Fishery Bureau, Dongying 257091, China

  • 3.

    Qingdao Veolia Water Operating Co., Ltd., Qingdao 266021,China

  • Received Date: 2009-09-17
  • Rev Recd Date: 2010-12-22
    Abstract
  • The spatial-temporal distribution and variations of nutrients and chlorophyll a (Chl a) in the coastal waters(35.5°~36.7°N, 119.8°~121.3°E) of the southern Shandong Peninsula were studied based on four cruises during 2006-2007. Both principal component analysis (PCA) and potential eutrophication assessment were carried out to assess the eutrophication status of the investigated area, and the potential eutrophication driving factors were evaluated. Results showed that (1) seasonal variations of total nitrogen (TN) and active phosphate were similar to those of dissolved inorganic nitrogen (DIN) and active silicate with concentrations higher in autumn and winter, while concentrations of total phosphate (TP) and dissolved phosphate (DOP) were higher in winter and lower in summer and autumn. The concentration of Chl a was higher in spring and summer and lower in winter. Horizontal distributions of nutrients and Chl a centered at the Jiaozhou Bay and the Dingzi Bay with concentrations higher in shore than offshore; (2) PCA were applied to estimate the eutrophication status and four PCs were extracted from ten variables, which explained 82.00% of the total information in the original data set. The distribution of integrated score, which was considered to be an indicator for eutrophication, indicated that eutrophication was more serious in the Jiaozhou Bay and the Dingzi Bay, and the northern area showed more serious situation than southern area. Further result demonstrated that DIN was the strongest driving factor for eutrophication in the region; (3) potential eutrophication assessment was also applied to evaluating the eutrophication status of the area and the result showed that in autumn, the investigated area can be classified as moderate-level nutrient area, and the Jiaozhou Bay and the Dingzi Bay can be characterized by phosphate-limiting moderate-level nutrient in spring. PCA, which can be considered as a more sensitive method for eutrophication estimation compared with potential eutrophication assessment, it not only quantitatively reflects eutrophication state, but also determines the driving factors for eutrophication in the region.
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