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178 related items for PubMed ID: 28012665
1. Development of an on-line source-tagged model for sulfate, nitrate and ammonium: A modeling study for highly polluted periods in Shanghai, China. Wu JB, Wang Z, Wang Q, Li J, Xu J, Chen H, Ge B, Zhou G, Chang L. Environ Pollut; 2017 Feb; 221():168-179. PubMed ID: 28012665 [Abstract] [Full Text] [Related]
2. Modeling dry and wet deposition of sulfate, nitrate, and ammonium ions in Jiuzhaigou National Nature Reserve, China using a source-oriented CMAQ model: Part II. Emission sector and source region contributions. Qiao X, Tang Y, Kota SH, Li J, Wu L, Hu J, Zhang H, Ying Q. Sci Total Environ; 2015 Nov 01; 532():840-8. PubMed ID: 26050092 [Abstract] [Full Text] [Related]
3. In situ continuous hourly observations of wintertime nitrate, sulfate and ammonium in a megacity in the North China plain from 2014 to 2019: Temporal variation, chemical formation and regional transport. Tang M, Liu Y, He J, Wang Z, Wu Z, Ji D. Chemosphere; 2021 Jan 01; 262():127745. PubMed ID: 32805654 [Abstract] [Full Text] [Related]
4. Modeling dry and wet deposition of sulfate, nitrate, and ammonium ions in Jiuzhaigou National Nature Reserve, China using a source-oriented CMAQ model: Part I. Base case model results. Qiao X, Tang Y, Hu J, Zhang S, Li J, Kota SH, Wu L, Gao H, Zhang H, Ying Q. Sci Total Environ; 2015 Nov 01; 532():831-9. PubMed ID: 26048290 [Abstract] [Full Text] [Related]
5. Chemical composition and source apportionment of PM10 and PM2.5 in different functional areas of Lanzhou, China. Qiu X, Duan L, Gao J, Wang S, Chai F, Hu J, Zhang J, Yun Y. J Environ Sci (China); 2016 Feb 01; 40():75-83. PubMed ID: 26969547 [Abstract] [Full Text] [Related]
6. Chemical characterization, formation mechanisms and source apportionment of PM2.5 in north Zhejiang Province: The importance of secondary formation and vehicle emission. Kuang B, Zhang F, Shen J, Shen Y, Qu F, Jin L, Tang Q, Tian X, Wang Z. Sci Total Environ; 2022 Dec 10; 851(Pt 2):158206. PubMed ID: 36028033 [Abstract] [Full Text] [Related]
7. Seasonal characterization of aerosol composition and sources in a polluted city in Central China. Wang Q, Li J, Yang J, Chen Y, Li Y, Li S, Xie C, Chen C, Wang L, Wang L, Wang W, Tong S, Sun Y. Chemosphere; 2020 Nov 10; 258():127310. PubMed ID: 32947673 [Abstract] [Full Text] [Related]
8. Water-soluble ions in PM2.5 during spring haze and dust periods in Chengdu, China: Variations, nitrate formation and potential source areas. Huang X, Zhang J, Luo B, Wang L, Tang G, Liu Z, Song H, Zhang W, Yuan L, Wang Y. Environ Pollut; 2018 Dec 10; 243(Pt B):1740-1749. PubMed ID: 30408861 [Abstract] [Full Text] [Related]
9. Evaluating PM₂.₅ ionic components and source apportionment in Jinan, China from 2004 to 2008 using trajectory statistical methods. Cheng S, Yang L, Zhou X, Wang Z, Zhou Y, Gao X, Nie W, Wang X, Xu P, Wang W. J Environ Monit; 2011 Jun 10; 13(6):1662-71. PubMed ID: 21505680 [Abstract] [Full Text] [Related]
10. High Contributions of Secondary Inorganic Aerosols to PM2.5 under Polluted Levels at a Regional Station in Northern China. Li Y, Tao J, Zhang L, Jia X, Wu Y. Int J Environ Res Public Health; 2016 Dec 15; 13(12):. PubMed ID: 27983711 [Abstract] [Full Text] [Related]
11. Source apportionment of sulfate and nitrate particulate matter in the Eastern United States and effectiveness of emission control programs. Zhang H, Hu J, Kleeman M, Ying Q. Sci Total Environ; 2014 Aug 15; 490():171-81. PubMed ID: 24852615 [Abstract] [Full Text] [Related]
12. [Seasonal Variation Characteristics and Potential Source Contribution of Sulfate, Nitrate and Ammonium in Beijing by Using Single Particle Aerosol Mass Spectrometry]. Liu L, Zhang WJ, Du SY, Hou LJ, Han B, Yang W, Chen MD, Bai ZP. Huan Jing Ke Xue; 2016 May 15; 37(5):1609-18. PubMed ID: 27506011 [Abstract] [Full Text] [Related]
13. Source apportionment of PM2.5 in North India using source-oriented air quality models. Guo H, Kota SH, Sahu SK, Hu J, Ying Q, Gao A, Zhang H. Environ Pollut; 2017 Dec 15; 231(Pt 1):426-436. PubMed ID: 28830016 [Abstract] [Full Text] [Related]
14. 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 15; 222():10-22. PubMed ID: 28088626 [Abstract] [Full Text] [Related]
15. Typical winter haze pollution in Zibo, an industrial city in China: Characteristics, secondary formation, and regional contribution. Li H, Ma Y, Duan F, He K, Zhu L, Huang T, Kimoto T, Ma X, Ma T, Xu L, Xu B, Yang S, Ye S, Sun Z, An J, Zhang Z. Environ Pollut; 2017 Oct 15; 229():339-349. PubMed ID: 28609735 [Abstract] [Full Text] [Related]
16. Characterization of aerosol chemical composition and the reconstruction of light extinction coefficients during winter in Wuhan, China. Liao W, Zhou J, Zhu S, Xiao A, Li K, Schauer JJ. Chemosphere; 2020 Feb 15; 241():125033. PubMed ID: 31610462 [Abstract] [Full Text] [Related]
17. Wintertime nitrate formation during haze days in the Guanzhong basin, China: A case study. Feng T, Bei N, Zhao S, Wu J, Li X, Zhang T, Cao J, Zhou W, Li G. Environ Pollut; 2018 Dec 15; 243(Pt B):1057-1067. PubMed ID: 30253296 [Abstract] [Full Text] [Related]
18. Response of aerosol chemistry to clean air action in Beijing, China: Insights from two-year ACSM measurements and model simulations. Zhou W, Gao M, He Y, Wang Q, Xie C, Xu W, Zhao J, Du W, Qiu Y, Lei L, Fu P, Wang Z, Worsnop DR, Zhang Q, Sun Y. Environ Pollut; 2019 Dec 15; 255(Pt 2):113345. PubMed ID: 31610508 [Abstract] [Full Text] [Related]
19. Source assessment of atmospheric fine particulate matter in a Chinese megacity: Insights from long-term, high-time resolution chemical composition measurements from Shanghai flagship monitoring supersite. Zhang C, Zou Z, Chang Y, Zhang Y, Wang X, Yang X. Chemosphere; 2020 Jul 15; 251():126598. PubMed ID: 32443236 [Abstract] [Full Text] [Related]
20. Chemistry-triggered events of PM2.5 explosive growth during late autumn and winter in Shanghai, China. Sun W, Wang D, Yao L, Fu H, Fu Q, Wang H, Li Q, Wang L, Yang X, Xian A, Wang G, Xiao H, Chen J. Environ Pollut; 2019 Nov 15; 254(Pt A):112864. PubMed ID: 31369912 [Abstract] [Full Text] [Related] Page: [Next] [New Search]