Assessment of temporal and spatial variation of coastal water quality and source identification along Macau peninsula |
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| Authors: | Jinliang Huang Manhim Ho Pengfei Du |
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| Institution: | (1) Joint Key Laboratory of Coastal Study, Xiamen University, Xiamen, 361005, China;(2) Environmental Science Research Center, Xiamen University, Xiamen, 361005, China;(3) Department of Environmental Science and Engineering, Tsinghua University, Beijing, 100084, China;(4) The Official Provisional Municipal Council of Macau, Macau, China |
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| Abstract: | Cluster analysis (CA), discriminant analysis (DA) and principal component analysis (PCA) were comprehensively coupled to explore
and identify the spatial and temporal variation and potential pollution sources in coastal water quality along Macau peninsula.
The results show that the 12 months could be grouped into two periods, June–September and the remaining months, and the entire
area divided into two clusters, one located at the western sides, and the other on the southeast and southern sides of the
Macau peninsula. Through backward stepwise DA, pH, Cl−, TSS, Color and TP, Chloride, Color, NH4
+, DO, COD were discriminant variables of spatial and temporal variation, with 84.82 and 76.54% correct assignments, respectively.
Fecal pollution, organic pollution and soil weathering are among the major sources for coastal water quality deterioration
along Macau peninsula. This study illustrates that application of multivariate statistical techniques was beneficial to gain
knowledge for further optimizing the monitoring network and controlling coastal water quality along Macau peninsula. |
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