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351 related items for PubMed ID: 32705557

  • 1. Water quality assessment and pollution source apportionment using multi-statistic and APCS-MLR modeling techniques in Min River Basin, China.
    Zhang H, Li H, Yu H, Cheng S.
    Environ Sci Pollut Res Int; 2020 Nov; 27(33):41987-42000. PubMed ID: 32705557
    [Abstract] [Full Text] [Related]

  • 2. Water quality assessment and pollution source apportionment using multivariate statistical techniques: a case study of the Laixi River Basin, China.
    Xiao J, Gao D, Zhang H, Shi H, Chen Q, Li H, Ren X, Chen Q.
    Environ Monit Assess; 2023 Jan 10; 195(2):287. PubMed ID: 36626095
    [Abstract] [Full Text] [Related]

  • 3. Source identification of surface water pollution using multivariate statistics combined with physicochemical and socioeconomic parameters.
    Zhang H, Li H, Gao D, Yu H.
    Sci Total Environ; 2022 Feb 01; 806(Pt 3):151274. PubMed ID: 34717996
    [Abstract] [Full Text] [Related]

  • 4. Water quality assessment and apportionment of pollution sources using APCS-MLR and PMF receptor modeling techniques in three major rivers of South Florida.
    Haji Gholizadeh M, Melesse AM, Reddi L.
    Sci Total Environ; 2016 Oct 01; 566-567():1552-1567. PubMed ID: 27317134
    [Abstract] [Full Text] [Related]

  • 5. Spatial variation and source apportionment of surface water pollution in the Tuo River, China, using multivariate statistical techniques.
    Fu D, Wu X, Chen Y, Yi Z.
    Environ Monit Assess; 2020 Nov 03; 192(12):745. PubMed ID: 33141366
    [Abstract] [Full Text] [Related]

  • 6. Water quality assessment and pollution source apportionment in a highly regulated river of Northeast China.
    Qin G, Liu J, Xu S, Wang T.
    Environ Monit Assess; 2020 Jun 20; 192(7):446. PubMed ID: 32564150
    [Abstract] [Full Text] [Related]

  • 7. Characterization and source apportionment of water pollution in Jinjiang River, China.
    Chen H, Teng Y, Yue W, Song L.
    Environ Monit Assess; 2013 Nov 20; 185(11):9639-50. PubMed ID: 23737126
    [Abstract] [Full Text] [Related]

  • 8. 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 20; 242():125272. PubMed ID: 31896182
    [Abstract] [Full Text] [Related]

  • 9. Spatio-temporal Variation of Groundwater Quality and Source Apportionment using Multivariate Statistical Techniques for the Hutuo River Alluvial-Pluvial Fan, China.
    Zhang Q, Wang L, Wang H, Zhu X, Wang L.
    Int J Environ Res Public Health; 2020 Feb 07; 17(3):. PubMed ID: 32046106
    [Abstract] [Full Text] [Related]

  • 10. 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
    [Abstract] [Full Text] [Related]

  • 11. Spatial distribution and source apportionment of water pollution in different administrative zones of Wen-Rui-Tang (WRT) river watershed, China.
    Yang L, Mei K, Liu X, Wu L, Zhang M, Xu J, Wang F.
    Environ Sci Pollut Res Int; 2013 Aug 30; 20(8):5341-52. PubMed ID: 23404042
    [Abstract] [Full Text] [Related]

  • 12. Source apportionment of water pollutants in the upstream of Yangtze River using APCS-MLR.
    Cheng G, Wang M, Chen Y, Gao W.
    Environ Geochem Health; 2020 Nov 30; 42(11):3795-3810. PubMed ID: 32594417
    [Abstract] [Full Text] [Related]

  • 13. Water quality assessment of the Karasu River (Turkey) using various indices, multivariate statistics and APCS-MLR model.
    Varol M, Karakaya G, Alpaslan K.
    Chemosphere; 2022 Dec 30; 308(Pt 2):136415. PubMed ID: 36099988
    [Abstract] [Full Text] [Related]

  • 14. Temporal trends and source apportionment of water pollution in Honghu Lake, China.
    Chen S, Wang S, Yu Y, Dong M, Li Y.
    Environ Sci Pollut Res Int; 2021 Nov 30; 28(42):60130-60144. PubMed ID: 34155585
    [Abstract] [Full Text] [Related]

  • 15. Apportionment and evolution of pollution sources in a typical riverside groundwater resource area using PCA-APCS-MLR model.
    Meng L, Zuo R, Wang JS, Yang J, Teng YG, Shi RT, Zhai YZ.
    J Contam Hydrol; 2018 Nov 30; 218():70-83. PubMed ID: 30361115
    [Abstract] [Full Text] [Related]

  • 16. [Spatiotemporal variation analysis and identification of water pollution sources in the Zhangweinan River basin].
    Xu HS, Xu ZX, Tang FF, Yu WD, Cheng YP.
    Huan Jing Ke Xue; 2012 Feb 30; 33(2):359-69. PubMed ID: 22509568
    [Abstract] [Full Text] [Related]

  • 17. A framework of characteristics identification and source apportionment of water pollution in a river: a case study in the Jinjiang River, China.
    Chen H, Teng Y, Wang J.
    Water Sci Technol; 2012 Feb 30; 65(11):2071-8. PubMed ID: 22592480
    [Abstract] [Full Text] [Related]

  • 18. Spatiotemporal Patterns in River Water Quality and Pollution Source Apportionment in the Arid Beichuan River Basin of Northwestern China Using Positive Matrix Factorization Receptor Modeling Techniques.
    Xiao L, Zhang Q, Niu C, Wang H.
    Int J Environ Res Public Health; 2020 Jul 13; 17(14):. PubMed ID: 32668595
    [Abstract] [Full Text] [Related]

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  • 20. Using EEM-PARAFAC to identify and trace the pollution sources of surface water with receptor models in Taihu Lake Basin, China.
    Wang X, Zhang M, Liu L, Wang Z, Lin K.
    J Environ Manage; 2022 Nov 01; 321():115925. PubMed ID: 35987058
    [Abstract] [Full Text] [Related]

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