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Journal Abstract Search

1801 related items for PubMed ID: 28651090

  • 21. [Observation of atmospheric pollutants in the urban area of Beibei District, Chongqing].
    Xu P, Hao QJ, Ji DS, Zhang JK, Liu ZR, Hu B, Wang YS, Jiang CS.
    Huan Jing Ke Xue; 2014 Mar; 35(3):820-9. PubMed ID: 24881366
    [Abstract] [Full Text] [Related]

  • 22. Impact of meteorological parameters on the development of fine and coarse particles over Delhi.
    Trivedi DK, Ali K, Beig G.
    Sci Total Environ; 2014 Apr 15; 478():175-83. PubMed ID: 24531126
    [Abstract] [Full Text] [Related]

  • 23. Air pollution in China: Status and spatiotemporal variations.
    Song C, Wu L, Xie Y, He J, Chen X, Wang T, Lin Y, Jin T, Wang A, Liu Y, Dai Q, Liu B, Wang YN, Mao H.
    Environ Pollut; 2017 Aug 15; 227():334-347. PubMed ID: 28482313
    [Abstract] [Full Text] [Related]

  • 24. Particulate matter concentration and air quality affected by windblown dust in the Columbia plateau.
    Sharratt BS, Lauer D.
    J Environ Qual; 2006 Aug 15; 35(6):2011-6. PubMed ID: 17071869
    [Abstract] [Full Text] [Related]

  • 25. [Spatiotemporal dynamics of atmospheric PM2.5 and PM10 and its influencing factors in Nanchang, China].
    Su W, Zhang SJ, Lai XY, Gu XR, Lai SN, Huang GX, Zhang ZJ, Liu YQ.
    Ying Yong Sheng Tai Xue Bao; 2017 Jan 15; 28(1):257-265. PubMed ID: 29749210
    [Abstract] [Full Text] [Related]

  • 26. First assessment of the PM10 and PM2.5 particulate level in the ambient air of Belgrade city.
    Rajsić SF, Tasić MD, Novaković VT, Tomasević MN.
    Environ Sci Pollut Res Int; 2004 Jan 15; 11(3):158-64. PubMed ID: 15259698
    [Abstract] [Full Text] [Related]

  • 27. Characteristics of particulate matter (PM10) and its relationship with meteorological factors during 2001-2012 in Beijing.
    Tian G, Qiao Z, Xu X.
    Environ Pollut; 2014 Sep 15; 192():266-74. PubMed ID: 24857048
    [Abstract] [Full Text] [Related]

  • 28. Acid-extractable heavy metals in PM2.5 over Xi'an, China: seasonal distribution and meteorological influence.
    Liu P, Zhang Y, Wu T, Shen Z, Xu H.
    Environ Sci Pollut Res Int; 2019 Nov 15; 26(33):34357-34367. PubMed ID: 31493079
    [Abstract] [Full Text] [Related]

  • 29. Characteristics of the severe March 2021 Gobi Desert dust storm and its impact on air pollution in China.
    Filonchyk M.
    Chemosphere; 2022 Jan 15; 287(Pt 3):132219. PubMed ID: 34543906
    [Abstract] [Full Text] [Related]

  • 30. [Composition and variation characteristics of atmospheric carbonaceous species in PM 2.5 in Taiyuan, China].
    Zhang GX, Yan YL, Guo LL, He QS, Chen LG.
    Huan Jing Ke Xue; 2015 Mar 15; 36(3):780-6. PubMed ID: 25929041
    [Abstract] [Full Text] [Related]

  • 31. Spatio-temporal patterns of air pollution in China from 2015 to 2018 and implications for health risks.
    Kuerban M, Waili Y, Fan F, Liu Y, Qin W, Dore AJ, Peng J, Xu W, Zhang F.
    Environ Pollut; 2020 Mar 15; 258():113659. PubMed ID: 31806463
    [Abstract] [Full Text] [Related]

  • 32. Spatiotemporal patterns of particulate matter (PM) and associations between PM and mortality in Shenzhen, China.
    Zhang F, Liu X, Zhou L, Yu Y, Wang L, Lu J, Wang W, Krafft T.
    BMC Public Health; 2016 Mar 02; 16():215. PubMed ID: 26935584
    [Abstract] [Full Text] [Related]

  • 33. 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 02; 40():75-83. PubMed ID: 26969547
    [Abstract] [Full Text] [Related]

  • 34. Assessment of annual air pollution levels with PM1, PM2.5, PM10 and associated heavy metals in Algiers, Algeria.
    Talbi A, Kerchich Y, Kerbachi R, Boughedaoui M.
    Environ Pollut; 2018 Jan 02; 232():252-263. PubMed ID: 28943349
    [Abstract] [Full Text] [Related]

  • 35. [Comparison of atmospheric particulate matter and aerosol optical depth in Beijing City].
    Lin HF, Xin JY, Zhang WY, Wang YS, Liu ZR, Chen CL.
    Huan Jing Ke Xue; 2013 Mar 02; 34(3):826-34. PubMed ID: 23745383
    [Abstract] [Full Text] [Related]

  • 36. A seriously air pollution area affected by anthropogenic in the central China: temporal-spatial distribution and potential sources.
    Yu H, Feng J, Su X, Li Y, Sun J.
    Environ Geochem Health; 2020 Oct 02; 42(10):3199-3211. PubMed ID: 32306229
    [Abstract] [Full Text] [Related]

  • 37. Increase in dust storm related PM10 concentrations: A time series analysis of 2001-2015.
    Krasnov H, Katra I, Friger M.
    Environ Pollut; 2016 Jun 02; 213():36-42. PubMed ID: 26874873
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  • 38. The Spatio-Temporal Distribution of Particulate Matter during Natural Dust Episodes at an Urban Scale.
    Krasnov H, Kloog I, Friger M, Katra I.
    PLoS One; 2016 Jun 02; 11(8):e0160800. PubMed ID: 27513479
    [Abstract] [Full Text] [Related]

  • 39. Using Bayesian spatio-temporal model to determine the socio-economic and meteorological factors influencing ambient PM2.5 levels in 109 Chinese cities.
    Jin JQ, Du Y, Xu LJ, Chen ZY, Chen JJ, Wu Y, Ou CQ.
    Environ Pollut; 2019 Nov 02; 254(Pt A):113023. PubMed ID: 31404733
    [Abstract] [Full Text] [Related]

  • 40. Ambient particulate matter in a central urban area of Seoul, Korea.
    Vellingiri K, Kim KH, Ma CJ, Kang CH, Lee JH, Kim IS, Brown RJC.
    Chemosphere; 2015 Jan 02; 119():812-819. PubMed ID: 25218979
    [Abstract] [Full Text] [Related]

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