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Source apportionment in the Liao River Basin |
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Abstract Principal component analysis (PCA) was applied to identify the number and characteristics of possible pollution sources, and the multivariate linear regression of the absolute principal component scores (APCS-MLR) was employed in the apportionment of the riverine pollution sources in the Liao River basin. Data of 9 water quality variables collected during the year 2009 and 2010 at 100 sampling sites were taken into consideration. Organic pollution, nutrient pollution, soil weathering were the potential pollution sources for regionⅠ, which explained 87.11% of the total variance; Nutrient pollution, mineral pollution, biochemical pollution were identified as potential pollution sources for Region III, with 72.10% of the total variance, and water in region IV were primarily influenced by organic pollution and nutrient pollution, with 77.83% of the total variance. This study illustrated the usefulness of multivariate statistical techniques for the identification of pollution sources, and is helpful for water quality management in the Liao River basin.
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Received: 01 September 2012
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