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122 related items for PubMed ID: 20066907
21. Chemical characterization and source apportionment of PM2.5 in a semi-arid and petrochemical-industrialized city, Northwest China. Wang Y, Jia C, Tao J, Zhang L, Liang X, Ma J, Gao H, Huang T, Zhang K. Sci Total Environ; 2016 Dec 15; 573():1031-1040. PubMed ID: 27607906 [Abstract] [Full Text] [Related]
22. Comparison of receptor models for source apportionment of the PM10 in Zaragoza (Spain). Callén MS, de la Cruz MT, López JM, Navarro MV, Mastral AM. Chemosphere; 2009 Aug 15; 76(8):1120-9. PubMed ID: 19443015 [Abstract] [Full Text] [Related]
23. Impact of harbour emissions on ambient PM10 and PM2.5 in Barcelona (Spain): Evidences of secondary aerosol formation within the urban area. Pérez N, Pey J, Reche C, Cortés J, Alastuey A, Querol X. Sci Total Environ; 2016 Nov 15; 571():237-50. PubMed ID: 27474834 [Abstract] [Full Text] [Related]
24. Chemical speciation and source apportionment of fine particulate matter in Santiago, Chile, 2013. Villalobos AM, Barraza F, Jorquera H, Schauer JJ. Sci Total Environ; 2015 Apr 15; 512-513():133-142. PubMed ID: 25617780 [Abstract] [Full Text] [Related]
25. Characterization and source apportionment of PM2.5-bound polycyclic aromatic hydrocarbons from Shanghai city, China. Wang Q, Liu M, Yu Y, Li Y. Environ Pollut; 2016 Nov 15; 218():118-128. PubMed ID: 27552045 [Abstract] [Full Text] [Related]
26. Source apportionment of fine particulate matter organic carbon in Shenzhen, China by chemical mass balance and radiocarbon methods. Al-Naiema IM, Yoon S, Wang YQ, Zhang YX, Sheesley RJ, Stone EA. Environ Pollut; 2018 Sep 15; 240():34-43. PubMed ID: 29729567 [Abstract] [Full Text] [Related]
27. Fine particulate matter source apportionment for the Chemical speciation Trends Network site at Birmingham, Alabama, using Positive Matrix Factorization. Baumann K, Jayanty RK, Flanagan JB. J Air Waste Manag Assoc; 2008 Jan 15; 58(1):27-44. PubMed ID: 18236792 [Abstract] [Full Text] [Related]
28. 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 15; 236():514-528. PubMed ID: 29428706 [Abstract] [Full Text] [Related]
29. Apportionment of urban aerosol sources in Cork (Ireland) by synergistic measurement techniques. Dall'Osto M, Hellebust S, Healy RM, O'Connor IP, Kourtchev I, Sodeau JR, Ovadnevaite J, Ceburnis D, O'Dowd CD, Wenger JC. Sci Total Environ; 2014 Sep 15; 493():197-208. PubMed ID: 24950495 [Abstract] [Full Text] [Related]
30. [Carbon source apportionment of PM2.5 in Chongqing based on local carbon profiles]. Zhang C, Zhou ZE, Zhai CZ, Bai ZP, Chen GC, Ji YQ, Ren LH, Fang WK. Huan Jing Ke Xue; 2014 Mar 15; 35(3):810-9. PubMed ID: 24881365 [Abstract] [Full Text] [Related]
31. Source Apportionment of Total Suspended Particles (TSP) by Positive Matrix Factorization (PMF) and Chemical Mass Balance (CMB) Modeling in Ahvaz, Iran. Ashrafi K, Fallah R, Hadei M, Yarahmadi M, Shahsavani A. Arch Environ Contam Toxicol; 2018 Aug 15; 75(2):278-294. PubMed ID: 29313074 [Abstract] [Full Text] [Related]
32. The relationship between aerosol particles chemical composition and optical properties to identify the biomass burning contribution to fine particles concentration: a case study for São Paulo city, Brazil. de Miranda RM, Lopes F, do Rosário NÉ, Yamasoe MA, Landulfo E, de Fatima Andrade M. Environ Monit Assess; 2016 Dec 15; 189(1):6. PubMed ID: 27921226 [Abstract] [Full Text] [Related]
33. Chemical characteristics and source apportionment of PM2.5 using PCA/APCS, UNMIX, and PMF at an urban site of Delhi, India. Jain S, Sharma SK, Choudhary N, Masiwal R, Saxena M, Sharma A, Mandal TK, Gupta A, Gupta NC, Sharma C. Environ Sci Pollut Res Int; 2017 Jun 15; 24(17):14637-14656. PubMed ID: 28455568 [Abstract] [Full Text] [Related]
34. Compilation and assessment of recent positive matrix factorization and UNMIX receptor model studies on fine particulate matter source apportionment for the eastern United States. Engel-Cox JA, Weber SA. J Air Waste Manag Assoc; 2007 Nov 15; 57(11):1307-16. PubMed ID: 18069454 [Abstract] [Full Text] [Related]
35. An integrated chemical mass balance and source emission inventory model for the source apportionment of PM2.5 in typical coastal areas. Cheng N, Zhang C, Jing D, Li W, Guo T, Wang Q, Li S. J Environ Sci (China); 2020 Jun 15; 92():118-128. PubMed ID: 32430115 [Abstract] [Full Text] [Related]
36. Assessment of forest fire impacts on carbonaceous aerosols using complementary molecular marker receptor models at two urban locations in California's San Joaquin Valley. Bae MS, Skiles MJ, Lai AM, Olson MR, de Foy B, Schauer JJ. Environ Pollut; 2019 Mar 15; 246():274-283. PubMed ID: 30557801 [Abstract] [Full Text] [Related]
37. PM₁₀ and PM₂.₅ sources at an insular location in the western Mediterranean by using source apportionment techniques. Pey J, Alastuey A, Querol X. Sci Total Environ; 2013 Jul 01; 456-457():267-77. PubMed ID: 23611951 [Abstract] [Full Text] [Related]
38. Analysis of trace elements and ions in ambient fine particulate matter at three elementary schools in Ohio. John K, Karnae S, Crist K, Kim M, Kulkarni A. J Air Waste Manag Assoc; 2007 Apr 01; 57(4):394-406. PubMed ID: 17458459 [Abstract] [Full Text] [Related]
39. Receptor modeling for source apportionment of polycyclic aromatic hydrocarbons in urban atmosphere. Singh KP, Malik A, Kumar R, Saxena P, Sinha S. Environ Monit Assess; 2008 Jan 01; 136(1-3):183-96. PubMed ID: 17394090 [Abstract] [Full Text] [Related]
40. 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] Page: [Previous] [Next] [New Search]