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116 related items for PubMed ID: 39212810

  • 1. Assessment of water quality and source apportionment of pollution in a tropical river in eastern India: A study utilizing multivariate statistical tools and the APCS-MLR receptor model.
    Ghosh P, Panigrahi AK.
    Environ Monit Assess; 2024 Aug 30; 196(9):861. PubMed ID: 39212810
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  • 15. Water quality characterization and pollution source apportionment in the Himalayan river flowing through Jammu City, India, using multivariate statistical approach and geospatial techniques.
    Slathia D, Jamwal KD.
    Environ Sci Pollut Res Int; 2022 Nov 30; 29(51):76712-76727. PubMed ID: 35668273
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  • 16. Estimating the contribution of environmental variables to water quality in the postrestoration littoral zones of Taihu Lake using the APCS-MLR model.
    Xie D, Li X, Zhou T, Feng Y.
    Sci Total Environ; 2023 Jan 20; 857(Pt 3):159678. PubMed ID: 36302398
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  • 18. Application of Multivariate Statistical Techniques and Water Quality Index for the Assessment of Water Quality and Apportionment of Pollution Sources in the Yeongsan River, South Korea.
    Mamun M, An KG.
    Int J Environ Res Public Health; 2021 Aug 04; 18(16):. PubMed ID: 34444013
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  • 19. Insights into the long-term pollution trends and sources contributions in Lake Taihu, China using multi-statistic analyses models.
    Liu L, Dong Y, Kong M, Zhou J, Zhao H, Tang Z, Zhang M, Wang Z.
    Chemosphere; 2020 Mar 04; 242():125272. PubMed ID: 31896182
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  • 20. Temporal trend and source apportionment of water pollution in different functional zones of Qiantang River, China.
    Su S, Li D, Zhang Q, Xiao R, Huang F, Wu J.
    Water Res; 2011 Feb 04; 45(4):1781-95. PubMed ID: 21147494
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