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Journal Abstract Search

341 related items for PubMed ID: 24364287

  • 1. [Study on influence of traffic and meteorological factors on inhalable particle matters of different size].
    Luo NN, Zhao WJ, Yan X, Gong ZN, Xiong QL.
    Huan Jing Ke Xue; 2013 Oct; 34(10):3741-8. PubMed ID: 24364287
    [Abstract] [Full Text] [Related]

  • 2. [Temporal and spatial distribution of PM2.5 and PM10 pollution status and the correlation of particulate matters and meteorological factors during winter and spring in Beijing].
    Zhao CX, Wang YQ, Wang YJ, Zhang HL, Zhao BQ.
    Huan Jing Ke Xue; 2014 Feb; 35(2):418-27. PubMed ID: 24812928
    [Abstract] [Full Text] [Related]

  • 3. Performance evaluation of air quality models for predicting PM10 and PM2.5 concentrations at urban traffic intersection during winter period.
    Gokhale S, Raokhande N.
    Sci Total Environ; 2008 May 01; 394(1):9-24. PubMed ID: 18289641
    [Abstract] [Full Text] [Related]

  • 4. 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 May 01; 11(3):158-64. PubMed ID: 15259698
    [Abstract] [Full Text] [Related]

  • 5. [Response of Human Respiratory Height PM2.5 Variation Characteristics to Meteorological Factors During Winter Haze Days in Beijing].
    Zhang N, Xiong HG, Ge XX, Duan PC, Mao XR, Wang YL.
    Huan Jing Ke Xue; 2016 Jul 08; 37(7):2419-2427. PubMed ID: 29964446
    [Abstract] [Full Text] [Related]

  • 6. Spatio-temporal variability of particulate matter in the key part of Gansu Province, Western China.
    Guan Q, Cai A, Wang F, Yang L, Xu C, Liu Z.
    Environ Pollut; 2017 Nov 08; 230():189-198. PubMed ID: 28651090
    [Abstract] [Full Text] [Related]

  • 7. PM10 concentration levels at an urban and background site in Cyprus: the impact of urban sources and dust storms.
    Achilleos S, Evans JS, Yiallouros PK, Kleanthous S, Schwartz J, Koutrakis P.
    J Air Waste Manag Assoc; 2014 Dec 08; 64(12):1352-60. PubMed ID: 25562931
    [Abstract] [Full Text] [Related]

  • 8. Quantifying factors affecting contributions of roadway exhaust and non-exhaust emissions to ambient PM10-2.5 and PM2.5-0.2 particles.
    Matthaios VN, Lawrence J, Martins MAG, Ferguson ST, Wolfson JM, Harrison RM, Koutrakis P.
    Sci Total Environ; 2022 Aug 20; 835():155368. PubMed ID: 35460767
    [Abstract] [Full Text] [Related]

  • 9. Particulate matter pollution in Chinese cities: Areal-temporal variations and their relationships with meteorological conditions (2015-2017).
    Li X, Song H, Zhai S, Lu S, Kong Y, Xia H, Zhao H.
    Environ Pollut; 2019 Mar 20; 246():11-18. PubMed ID: 30529935
    [Abstract] [Full Text] [Related]

  • 10. [Influence of traffic restriction on road and construction fugitive dust].
    Tian G, Li G, Qin JP, Fan SB, Huang YH, Nie L.
    Huan Jing Ke Xue; 2009 May 15; 30(5):1528-32. PubMed ID: 19558129
    [Abstract] [Full Text] [Related]

  • 11. Dependence of urban air pollutants on morning/evening peak hours and seasons.
    Gupta SK, Elumalai SP.
    Arch Environ Contam Toxicol; 2019 May 15; 76(4):572-590. PubMed ID: 30879121
    [Abstract] [Full Text] [Related]

  • 12. Impact of fine particulate fluctuation and other variables on Beijing's air quality index.
    Chen B, Lu S, Li S, Wang B.
    Environ Sci Pollut Res Int; 2015 Apr 15; 22(7):5139-51. PubMed ID: 25563832
    [Abstract] [Full Text] [Related]

  • 13. [Preliminary study of source apportionment of PM10 and PM2.5 in three cities of China during spring].
    Gao S, Pan XC, Madaniyazi LN, Xie J, He YH.
    Zhonghua Yu Fang Yi Xue Za Zhi; 2013 Sep 15; 47(9):837-42. PubMed ID: 24351566
    [Abstract] [Full Text] [Related]

  • 14. A Two-Stage Method to Estimate the Contribution of Road Traffic to PM₂.₅ Concentrations in Beijing, China.
    Fang X, Li R, Xu Q, Bottai M, Fang F, Cao Y.
    Int J Environ Res Public Health; 2016 Jan 13; 13(1):. PubMed ID: 26771629
    [Abstract] [Full Text] [Related]

  • 15. [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 13; 28(1):257-265. PubMed ID: 29749210
    [Abstract] [Full Text] [Related]

  • 16. On-site assessments on variations of PM2.5, PM10, CO2 and TVOC concentrations in naturally ventilated underground parking garages with traffic volume.
    Liu Z, Yin H, Ma S, Jin G, Gao J, Ding W.
    Environ Pollut; 2019 Apr 13; 247():626-637. PubMed ID: 30711818
    [Abstract] [Full Text] [Related]

  • 17. Development and application of an aerosol screening model for size-resolved urban aerosols.
    Stanier CO, Lee SR, HEI Health Review Committee.
    Res Rep Health Eff Inst; 2014 Jun 13; (179):3-79. PubMed ID: 25145039
    [Abstract] [Full Text] [Related]

  • 18. Seasonal variations of PM10 and TSP in residential and industrial sites in an urban area of Kolkata, India.
    Karar K, Gupta AK, Kumar A, Biswas AK.
    Environ Monit Assess; 2006 Jul 13; 118(1-3):369-81. PubMed ID: 16897551
    [Abstract] [Full Text] [Related]

  • 19. Spatial and temporal characteristics of air quality and air pollutants in 2013 in Beijing.
    Yan S, Cao H, Chen Y, Wu C, Hong T, Fan H.
    Environ Sci Pollut Res Int; 2016 Jul 13; 23(14):13996-4007. PubMed ID: 27040547
    [Abstract] [Full Text] [Related]

  • 20. Evaluation of PM10 forecasting based on the artificial neural network model and intake fraction in an urban area: a case study in Taiyuan City, China.
    Zhang H, Liu Y, Shi R, Yao Q.
    J Air Waste Manag Assoc; 2013 Jul 13; 63(7):755-63. PubMed ID: 23926845
    [Abstract] [Full Text] [Related]

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