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Journal Abstract Search
289 related items for PubMed ID: 27000830
1. Water Quality Assessment of River Soan (Pakistan) and Source Apportionment of Pollution Sources Through Receptor Modeling. Nazeer S, Ali Z, Malik RN. Arch Environ Contam Toxicol; 2016 Jul; 71(1):97-112. PubMed ID: 27000830 [Abstract] [Full Text] [Related]
3. 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]
4. Use of multivariate statistical techniques for the evaluation of temporal and spatial variations in water quality of the Kaduna River, Nigeria. Ogwueleka TC. Environ Monit Assess; 2015 Mar 30; 187(3):137. PubMed ID: 25707603 [Abstract] [Full Text] [Related]
5. 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 30; 27(33):41987-42000. PubMed ID: 32705557 [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]
10. 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 20; 218():70-83. PubMed ID: 30361115 [Abstract] [Full Text] [Related]
11. 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]
12. Hydrochemical evaluation of surface water quality and pollution source apportionment in the Luan River basin, China. Wang H, Li X, Xie Y. Water Sci Technol; 2011 Nov 03; 64(10):2119-25. PubMed ID: 22105137 [Abstract] [Full Text] [Related]
13. 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]
14. 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 13; 45(4):1781-95. PubMed ID: 21147494 [Abstract] [Full Text] [Related]
16. 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]
17. 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 07; 308(Pt 2):136415. PubMed ID: 36099988 [Abstract] [Full Text] [Related]
19. 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 [Abstract] [Full Text] [Related]
20. 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 04; 29(51):76712-76727. PubMed ID: 35668273 [Abstract] [Full Text] [Related] Page: [Next] [New Search]