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282 related items for PubMed ID: 16405949

  • 1. Prediction of ozone concentrations in Oporto city with statistical approaches.
    Sousa SI, Martins FG, Pereira MC, Alvim-Ferraz MC.
    Chemosphere; 2006 Aug; 64(7):1141-9. PubMed ID: 16405949
    [Abstract] [Full Text] [Related]

  • 2. Dependence of urban air pollutants on meteorology.
    Elminir HK.
    Sci Total Environ; 2005 Nov 01; 350(1-3):225-37. PubMed ID: 16227082
    [Abstract] [Full Text] [Related]

  • 3. Prediction of maximum daily ozone level using combined neural network and statistical characteristics.
    Wang W, Lu W, Wang X, Leung AY.
    Environ Int; 2003 Aug 01; 29(5):555-62. PubMed ID: 12742398
    [Abstract] [Full Text] [Related]

  • 4. Air quality assessment at Al-Taneem area in the Holy Makkah City, Saudi Arabia.
    Al-Jeelani HA.
    Environ Monit Assess; 2009 Sep 01; 156(1-4):211-22. PubMed ID: 18663589
    [Abstract] [Full Text] [Related]

  • 5. Transformation of nitrogen dioxide into ozone and prediction of ozone concentrations using multiple linear regression techniques.
    Ghazali NA, Ramli NA, Yahaya AS, Yusof NF, Sansuddin N, Al Madhoun WA.
    Environ Monit Assess; 2010 Jun 01; 165(1-4):475-89. PubMed ID: 19440846
    [Abstract] [Full Text] [Related]

  • 6. Characterization of PM2.5, gaseous pollutants, and meteorological interactions in the context of time-series health effects models.
    Ito K, Thurston GD, Silverman RA.
    J Expo Sci Environ Epidemiol; 2007 Dec 01; 17 Suppl 2():S45-60. PubMed ID: 18079764
    [Abstract] [Full Text] [Related]

  • 7. Air quality assessment for Portugal.
    Monteiro A, Miranda AI, Borrego C, Vautard R.
    Sci Total Environ; 2007 Feb 01; 373(1):22-31. PubMed ID: 17207847
    [Abstract] [Full Text] [Related]

  • 8. Temporal variations of PM2.5 in the ambient air of a suburban site in Athens, Greece.
    Vassilakos Ch, Saraga D, Maggos T, Michopoulos J, Pateraki S, Helmis CG.
    Sci Total Environ; 2005 Oct 15; 349(1-3):223-31. PubMed ID: 16198683
    [Abstract] [Full Text] [Related]

  • 9. Potential assessment of a neural network model with PCA/RBF approach for forecasting pollutant trends in Mong Kok urban air, Hong Kong.
    Lu WZ, Wang WJ, Wang XK, Yan SH, Lam JC.
    Environ Res; 2004 Sep 15; 96(1):79-87. PubMed ID: 15261787
    [Abstract] [Full Text] [Related]

  • 10. Predicting hourly air pollutant levels using artificial neural networks coupled with uncertainty analysis by Monte Carlo simulations.
    Arhami M, Kamali N, Rajabi MM.
    Environ Sci Pollut Res Int; 2013 Jul 15; 20(7):4777-89. PubMed ID: 23292230
    [Abstract] [Full Text] [Related]

  • 11. Adaptive neuro-fuzzy based modelling for prediction of air pollution daily levels in city of Zonguldak.
    Yildirim Y, Bayramoglu M.
    Chemosphere; 2006 Jun 15; 63(9):1575-82. PubMed ID: 16310825
    [Abstract] [Full Text] [Related]

  • 12. Evaluation of a multiple regression model for the forecasting of the concentrations of NOx and PM10 in Athens and Helsinki.
    Vlachogianni A, Kassomenos P, Karppinen A, Karakitsios S, Kukkonen J.
    Sci Total Environ; 2011 Mar 15; 409(8):1559-71. PubMed ID: 21277004
    [Abstract] [Full Text] [Related]

  • 13. [Application of artificial neural networks on the prediction of surface ozone concentrations].
    Shen LL, Wang YX, Duan L.
    Huan Jing Ke Xue; 2011 Aug 15; 32(8):2231-5. PubMed ID: 22619942
    [Abstract] [Full Text] [Related]

  • 14. A statistical assessment of saturation and mobile sampling strategies to estimate long-term average concentrations across urban areas.
    Xu X, Brook JR, Guo Y.
    J Air Waste Manag Assoc; 2007 Nov 15; 57(11):1396-406. PubMed ID: 18069463
    [Abstract] [Full Text] [Related]

  • 15. Mapping of background air pollution at a fine spatial scale across the European Union.
    Beelen R, Hoek G, Pebesma E, Vienneau D, de Hoogh K, Briggs DJ.
    Sci Total Environ; 2009 Mar 01; 407(6):1852-67. PubMed ID: 19152957
    [Abstract] [Full Text] [Related]

  • 16. Urban air pollution forecasting with respect to SPM using time series neural networks modelling approach--a case study in Coimbatore City.
    Meenakshi P, Saseetharan MK.
    J Environ Sci Eng; 2004 Apr 01; 46(2):92-101. PubMed ID: 16649599
    [Abstract] [Full Text] [Related]

  • 17. The associations between air quality and the number of hospital admissions for acute pain and sickle-cell disease in an urban environment.
    Yallop D, Duncan ER, Norris E, Fuller GW, Thomas N, Walters J, Dick MC, Height SE, Thein SL, Rees DC.
    Br J Haematol; 2007 Mar 01; 136(6):844-8. PubMed ID: 17341271
    [Abstract] [Full Text] [Related]

  • 18. Comparative assessment of ambient air quality in two typical Mediterranean coastal cities in Greece.
    Riga-Karandinos AN, Saitanis C.
    Chemosphere; 2005 May 01; 59(8):1125-36. PubMed ID: 15833486
    [Abstract] [Full Text] [Related]

  • 19. Stochastic model to forecast ground-level ozone concentration at urban and rural areas.
    Dueñas C, Fernández MC, Cañete S, Carretero J, Liger E.
    Chemosphere; 2005 Dec 01; 61(10):1379-89. PubMed ID: 15975626
    [Abstract] [Full Text] [Related]

  • 20. Intercomparison of air quality data using principal component analysis, and forecasting of PM₁₀ and PM₂.₅ concentrations using artificial neural networks, in Thessaloniki and Helsinki.
    Voukantsis D, Karatzas K, Kukkonen J, Räsänen T, Karppinen A, Kolehmainen M.
    Sci Total Environ; 2011 Mar 01; 409(7):1266-76. PubMed ID: 21276603
    [Abstract] [Full Text] [Related]

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