Abstract
To elucidate the historical improvement and advanced measure of river water quality in the Taipei metropolitan area, this study applied the self-organizing map (SOM) technique with factor analysis (FA) to differentiate the spatiotemporal distribution of natural and anthropogenic processes on river water–quality variation spanning two decades. The SOM clustered river water quality into five groups: very low pollution, low pollution, moderate pollution, high pollution, and very high pollution. FA was then used to extract four latent factors that dominated water quality from 1991 to 2011 including three anthropogenic process factors (organic, industrial, and copper pollution) and one natural process factor [suspended solids (SS) pollution]. The SOM revealed that the water quality improved substantially over time. However, the downstream river water quality was still classified as high pollution because of an increase in anthropogenic activity. FA showed the spatiotemporal pattern of each factor score decreasing over time, but the organic pollution factor downstream of the Tamsui River, as well as the SS factor scores in the upstream major tributary (the Dahan Stream), remained within the high pollution level. Therefore, we suggest that public sewage-treatment plants should be upgraded from their current secondary biological processing to advanced treatment processing. The conservation of water and soil must also be reinforced to decrease the SS loading of the Dahan Stream from natural erosion processes in the future.
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Acknowledgments
The authors thank the Environmental Protection Administration, Taiwan (R.O.C.), for providing data from the Tamsui River basin. Thank to the anonymous reviewers for their helpful comments and suggestions to improve the manuscript. Conclusions herein are drawn by the authors and do not stand for the views of the Environmental Protection Administration, Taiwan (R.O.C.).
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Wang, YB., Liu, CW. & Lee, JJ. Differentiating the Spatiotemporal Distribution of Natural and Anthropogenic Processes on River Water–Quality Variation Using a Self-Organizing Map With Factor Analysis. Arch Environ Contam Toxicol 69, 254–263 (2015). https://doi.org/10.1007/s00244-015-0167-2
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DOI: https://doi.org/10.1007/s00244-015-0167-2