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349 related items for PubMed ID: 19446395
1. Multivariate statistical study of organic pollutants in Nanjing reach of Yangtze River. Wu B, Zhao D, Zhang Y, Zhang X, Cheng S. J Hazard Mater; 2009 Sep 30; 169(1-3):1093-8. PubMed ID: 19446395 [Abstract] [Full Text] [Related]
2. Source apportionment of ambient non-methane hydrocarbons in Hong Kong: application of a principal component analysis/absolute principal component scores (PCA/APCS) receptor model. Guo H, Wang T, Louie PK. Environ Pollut; 2004 Jun 30; 129(3):489-98. PubMed ID: 15016469 [Abstract] [Full Text] [Related]
3. 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 Jun 30; 65(11):2071-8. PubMed ID: 22592480 [Abstract] [Full Text] [Related]
4. Assessment of semi-volatile organic compounds in drinking water sources in Jiangsu, China. Wu Y, Jia Y, Lu X. Ecotoxicol Environ Saf; 2013 Aug 30; 94():138-46. PubMed ID: 23688729 [Abstract] [Full Text] [Related]
5. 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 30; 45(4):1781-95. PubMed ID: 21147494 [Abstract] [Full Text] [Related]
6. Occurrence and possible sources of polychlorinated biphenyls in surface sediments from the Wuhan reach of the Yangtze River, China. Yang Z, Shen Z, Gao F, Tang Z, Niu J. Chemosphere; 2009 Mar 30; 74(11):1522-30. PubMed ID: 19108865 [Abstract] [Full Text] [Related]
7. Perfluorinated compounds in the Pearl River and Yangtze River of China. So MK, Miyake Y, Yeung WY, Ho YM, Taniyasu S, Rostkowski P, Yamashita N, Zhou BS, Shi XJ, Wang JX, Giesy JP, Yu H, Lam PK. Chemosphere; 2007 Aug 30; 68(11):2085-95. PubMed ID: 17368725 [Abstract] [Full Text] [Related]
8. River water quality and pollution sources in the Pearl River Delta, China. Ouyang T, Zhu Z, Kuang Y. J Environ Monit; 2005 Jul 30; 7(7):664-9. PubMed ID: 15986044 [Abstract] [Full Text] [Related]
9. Water quality assessment in the rivers along the water conveyance system of the Middle Route of the South to North Water Transfer Project (China) using multivariate statistical techniques and receptor modeling. Li S, Li J, Zhang Q. J Hazard Mater; 2011 Nov 15; 195():306-17. PubMed ID: 21968116 [Abstract] [Full Text] [Related]
10. Source apportionment of trace metals in surface waters of a polluted stream using multivariate statistical analyses. Pekey H, Karakaş D, Bakoğlu M. Mar Pollut Bull; 2004 Nov 15; 49(9-10):809-18. PubMed ID: 15530525 [Abstract] [Full Text] [Related]
11. Surface water quality and its control in a river with intensive human impacts--a case study of the Xiangjiang River, China. Zhang Z, Tao F, Du J, Shi P, Yu D, Meng Y, Sun Y. J Environ Manage; 2010 Dec 15; 91(12):2483-90. PubMed ID: 20674147 [Abstract] [Full Text] [Related]
12. Response of dissolved trace metals to land use/land cover and their source apportionment using a receptor model in a subtropic river, China. Li S, Zhang Q. J Hazard Mater; 2011 Jun 15; 190(1-3):205-13. PubMed ID: 21470777 [Abstract] [Full Text] [Related]
13. Determination and source apportionment of five classes of steroid hormones in urban rivers. Chang H, Wan Y, Hu J. Environ Sci Technol; 2009 Oct 15; 43(20):7691-8. PubMed ID: 19921880 [Abstract] [Full Text] [Related]
14. Determination of phenolic endocrine disrupting chemicals and acidic pharmaceuticals in surface water of the Pearl Rivers in South China by gas chromatography-negative chemical ionization-mass spectrometry. Zhao JL, Ying GG, Wang L, Yang JF, Yang XB, Yang LH, Li X. Sci Total Environ; 2009 Jan 01; 407(2):962-74. PubMed ID: 19004474 [Abstract] [Full Text] [Related]
15. Identification of estrogen-like effects and biologically active compounds in river water using bioassays and chemical analysis. Oh SM, Kim HR, Park HK, Choi K, Ryu J, Shin HS, Park JS, Lee JS, Chung KH. Sci Total Environ; 2009 Oct 15; 407(21):5787-94. PubMed ID: 19647290 [Abstract] [Full Text] [Related]
16. An integrated SOM-based multivariate approach for spatio-temporal patterns identification and source apportionment of pollution in complex river network. Yang Y, Wang C, Guo H, Sheng H, Zhou F. Environ Pollut; 2012 Sep 15; 168():71-9. PubMed ID: 22595762 [Abstract] [Full Text] [Related]
17. Land use effects in groundwater composition of an alluvial aquifer (Trussu River, Brazil) by multivariate techniques. de Andrade EM, Palácio HA, Souza IH, de Oliveira Leão RA, Guerreiro MJ. Environ Res; 2008 Feb 15; 106(2):170-7. PubMed ID: 18062960 [Abstract] [Full Text] [Related]
18. Spatial variation and source apportionment of water pollution in Qiantang River (China) using statistical techniques. Huang F, Wang X, Lou L, Zhou Z, Wu J. Water Res; 2010 Mar 15; 44(5):1562-72. PubMed ID: 19944441 [Abstract] [Full Text] [Related]
19. 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]
20. [Pollution Characteristics and Health Risk Assessment of Volatile Organic Compounds (VOCs) and Semi-volatile Organic Compounds (SVOCs) in Qiantang River's Hangzhou Section During a Water Odor Pollution Event]. Chen F, Tang FL, Xu JF, Wang YY, Ruan DD, Zhang W, Zhou S. Huan Jing Ke Xue; 2018 Feb 08; 39(2):648-654. PubMed ID: 29964827 [Abstract] [Full Text] [Related] Page: [Next] [New Search]