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327 related items for PubMed ID: 26766363
1. Source regional contributions to PM2.5 in a megacity in China using an advanced source regional apportionment method. Tian YZ, Chen G, Wang HT, Huang-Fu YQ, Shi GL, Han B, Feng YC. Chemosphere; 2016 Mar; 147():256-63. PubMed ID: 26766363 [Abstract] [Full Text] [Related]
2. Using an improved Source Directional Apportionment method to quantify the PM(2.5) source contributions from various directions in a megacity in China. Tian YZ, Shi GL, Han B, Wu JH, Zhou XY, Zhou LD, Zhang P, Feng YC. Chemosphere; 2015 Jan; 119():750-756. PubMed ID: 25192649 [Abstract] [Full Text] [Related]
3. Source insights into the 11-h daytime and nighttime fine ambient particulate matter in China as well as the synthetic studies using the new Multilinear Engine 2-species ratios (ME2-SR) method. Shi G, Chen G, Liu G, Wang H, Tian Y, Feng Y. J Environ Manage; 2016 Oct 01; 181():304-311. PubMed ID: 27376869 [Abstract] [Full Text] [Related]
4. Oxidative potential of ambient PM2.5 in the coastal cities of the Bohai Sea, northern China: Seasonal variation and source apportionment. Liu W, Xu Y, Liu W, Liu Q, Yu S, Liu Y, Wang X, Tao S. Environ Pollut; 2018 May 01; 236():514-528. PubMed ID: 29428706 [Abstract] [Full Text] [Related]
5. Source apportionment for fine particulate matter in a Chinese city using an improved gas-constrained method and comparison with multiple receptor models. Shi G, Liu J, Wang H, Tian Y, Wen J, Shi X, Feng Y, Ivey CE, Russell AG. Environ Pollut; 2018 Feb 01; 233():1058-1067. PubMed ID: 29033173 [Abstract] [Full Text] [Related]
6. Characterization and source apportionment of PM2.5 based on error estimation from EPA PMF 5.0 model at a medium city in China. Liu B, Wu J, Zhang J, Wang L, Yang J, Liang D, Dai Q, Bi X, Feng Y, Zhang Y, Zhang Q. Environ Pollut; 2017 Mar 01; 222():10-22. PubMed ID: 28088626 [Abstract] [Full Text] [Related]
10. Chemical compositions and source apportionment of PM2.5 during clear and hazy days: Seasonal changes and impacts of Youth Olympic Games. Li SW, Chang M, Li H, Cui XY, Ma LQ. Chemosphere; 2020 Oct 01; 256():127163. PubMed ID: 32470742 [Abstract] [Full Text] [Related]
11. Long-term variation of the levels, compositions and sources of size-resolved particulate matter in a megacity in China. Tian YZ, Wu JH, Shi GL, Wu JY, Zhang YF, Zhou LD, Zhang P, Feng YC. Sci Total Environ; 2013 Oct 01; 463-464():462-8. PubMed ID: 23831792 [Abstract] [Full Text] [Related]
14. Temporal-spatial characteristics and source apportionment of PM2.5 as well as its associated chemical species in the Beijing-Tianjin-Hebei region of China. Gao J, Wang K, Wang Y, Liu S, Zhu C, Hao J, Liu H, Hua S, Tian H. Environ Pollut; 2018 Feb 01; 233():714-724. PubMed ID: 29126093 [Abstract] [Full Text] [Related]
15. Six sources mainly contributing to the haze episodes and health risk assessment of PM2.5 at Beijing suburb in winter 2016. Xu X, Zhang H, Chen J, Li Q, Wang X, Wang W, Zhang Q, Xue L, Ding A, Mellouki A. Ecotoxicol Environ Saf; 2018 Dec 30; 166():146-156. PubMed ID: 30265878 [Abstract] [Full Text] [Related]
16. Seasonal and regional variations of source contributions for PM10 and PM2.5 in urban environment. Tian YZ, Shi GL, Huang-Fu YQ, Song DL, Liu JY, Zhou LD, Feng YC. Sci Total Environ; 2016 Jul 01; 557-558():697-704. PubMed ID: 27037891 [Abstract] [Full Text] [Related]