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Source apportionment of water pollutants in the upstream of Yangtze River using APCS–MLR

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Abstract

As the upper reach of the Yangtze River, the Jinsha River has experienced ecological degradation due to increased anthropogenic activities. The potential pollution sources affecting the Jinsha River watershed from 2016 to 2018 were investigated using an improved method in combination with correlation analysis and the absolute principal component score-multiple linear regression receptor modeling technique. Our results identified 5–7 potential pollution sources in the Jinsha main stream watershed and the Pudu, Niulan, and Yalong River watersheds of the Jinsha River. The water pollutant concentrations of the Jinsha main stream watershed were mainly influenced by environmental, agricultural, and human population factors. In the Pudu River watershed, the primary pollution sources changed to natural and sedimentary pollutant sources. It is necessary to control the sedimentary pollutants. The Niulan River watershed was also influenced by natural environment factors. Among those, mineral, sedimentary pollutant, and meteorological sources contributed the most to water quality. In the case of the Yalong River watershed, the influence of non-point source pollution caused by human activities and sedimentary pollutants was the main reason for the deterioration of the ecological environment. The multivariate statistical techniques presented good adaptability for the analysis of pollution sources in the Jinsha River watershed, and the results may be useful for the protection and management of the watershed eco-environment.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (No. 41701631), Natural Foundation for Youth Scholars of Yunnan Province of China (Y0120160068), Joint Grant of Yunnan Provincial Science and Technology Department—Yunnan University Major Project (2018FY001-007), and Yunnan Science and Technology Major Project (2018BC002).

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Authors and Affiliations

  1. Yunnan Key Laboratory for Plateau Mountain Ecology and Restoration of Degraded Environments, School of Ecology and Environmental Sciences, Yunnan University, Kunming, 650091, China

    Guowei Cheng, Mingjing Wang & Wei Gao

  2. Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Institute of International Rivers and Eco-Security, Yunnan University, Kunming, 650091, China

    Guowei Cheng

  3. United Center for Eco-Environment in Yangtze River Economic Belt, Chinese Academy for Environmental Planning, Beijing, 100012, China

    Yan Chen

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  1. Guowei Cheng
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  4. Wei Gao
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Correspondence to Wei Gao.

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Cheng, G., Wang, M., Chen, Y. et al. Source apportionment of water pollutants in the upstream of Yangtze River using APCS–MLR. Environ Geochem Health 42, 3795–3810 (2020). https://doi.org/10.1007/s10653-020-00641-z

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  • DOI: https://doi.org/10.1007/s10653-020-00641-z

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