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532 related items for PubMed ID: 22542239
1. Linear and nonlinear modeling approaches for urban air quality prediction. Singh KP, Gupta S, Kumar A, Shukla SP. Sci Total Environ; 2012 Jun 01; 426():244-55. PubMed ID: 22542239 [Abstract] [Full Text] [Related]
2. Modeling the performance of "up-flow anaerobic sludge blanket" reactor based wastewater treatment plant using linear and nonlinear approaches--a case study. Singh KP, Basant N, Malik A, Jain G. Anal Chim Acta; 2010 Jan 18; 658(1):1-11. PubMed ID: 20082768 [Abstract] [Full Text] [Related]
3. Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States. Paciorek CJ, Liu Y, HEI Health Review Committee. Res Rep Health Eff Inst; 2012 May 18; (167):5-83; discussion 85-91. PubMed ID: 22838153 [Abstract] [Full Text] [Related]
4. 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]
5. Development of predictive models for determining enterococci levels at Gulf Coast beaches. Zhang Z, Deng Z, Rusch KA. Water Res; 2012 Feb 01; 46(2):465-74. PubMed ID: 22130001 [Abstract] [Full Text] [Related]
6. Evaluating heterogeneity in indoor and outdoor air pollution using land-use regression and constrained factor analysis. Levy JI, Clougherty JE, Baxter LK, Houseman EA, Paciorek CJ, HEI Health Review Committee. Res Rep Health Eff Inst; 2010 Dec 01; (152):5-80; discussion 81-91. PubMed ID: 21409949 [Abstract] [Full Text] [Related]
7. Forecasting of daily air quality index in Delhi. Kumar A, Goyal P. Sci Total Environ; 2011 Nov 15; 409(24):5517-23. PubMed ID: 21962560 [Abstract] [Full Text] [Related]
8. 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]
9. Evaluation of a seven-year air quality simulation using the Weather Research and Forecasting (WRF)/Community Multiscale Air Quality (CMAQ) models in the eastern United States. Zhang H, Chen G, Hu J, Chen SH, Wiedinmyer C, Kleeman M, Ying Q. Sci Total Environ; 2014 Mar 01; 473-474():275-85. PubMed ID: 24374589 [Abstract] [Full Text] [Related]
10. ANN application for prediction of atmospheric nitrogen deposition to aquatic ecosystems. Palani S, Tkalich P, Balasubramanian R, Palanichamy J. Mar Pollut Bull; 2011 Jun 01; 62(6):1198-206. PubMed ID: 21481425 [Abstract] [Full Text] [Related]
11. 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 01; 20(7):4777-89. PubMed ID: 23292230 [Abstract] [Full Text] [Related]
12. The London low emission zone baseline study. Kelly F, Armstrong B, Atkinson R, Anderson HR, Barratt B, Beevers S, Cook D, Green D, Derwent D, Mudway I, Wilkinson P, HEI Health Review Committee. Res Rep Health Eff Inst; 2011 Nov 01; (163):3-79. PubMed ID: 22315924 [Abstract] [Full Text] [Related]
13. 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]
14. Artificial neural network models for prediction of daily fine particulate matter concentrations in Algiers. Chellali MR, Abderrahim H, Hamou A, Nebatti A, Janovec J. Environ Sci Pollut Res Int; 2016 Jul 01; 23(14):14008-17. PubMed ID: 27040548 [Abstract] [Full Text] [Related]
15. An annual assessment of air quality with the CALIOPE modeling system over Spain. Baldasano JM, Pay MT, Jorba O, Gassó S, Jiménez-Guerrero P. Sci Total Environ; 2011 May 01; 409(11):2163-78. PubMed ID: 21377712 [Abstract] [Full Text] [Related]
16. [Meta-analysis of the Italian studies on short-term effects of air pollution]. Biggeri A, Bellini P, Terracini B, Italian MISA Group. Epidemiol Prev; 2001 May 01; 25(2 Suppl):1-71. PubMed ID: 11515188 [Abstract] [Full Text] [Related]
17. Assessment of the natural sources of particulate matter on the opencast mines air quality. Huertas JI, Huertas ME, Cervantes G, Díaz J. Sci Total Environ; 2014 Sep 15; 493():1047-55. PubMed ID: 25016110 [Abstract] [Full Text] [Related]
18. Forecasting PM10 in metropolitan areas: Efficacy of neural networks. Fernando HJ, Mammarella MC, Grandoni G, Fedele P, Di Marco R, Dimitrova R, Hyde P. Environ Pollut; 2012 Apr 15; 163():62-7. PubMed ID: 22325432 [Abstract] [Full Text] [Related]
19. Exergetic performance prediction of solar air heater using MLP, GRNN and RBF models of artificial neural network technique. Ghritlahre HK, Prasad RK. J Environ Manage; 2018 Oct 01; 223():566-575. PubMed ID: 29975883 [Abstract] [Full Text] [Related]
20. Hourly predictive artificial neural network and multivariate regression trees models of Ganoderma spore concentrations in Rzeszów and Szczecin (Poland). Kasprzyk I, Grinn-Gofroń A, Strzelczak A, Wolski T. Sci Total Environ; 2011 Feb 01; 409(5):949-56. PubMed ID: 21183203 [Abstract] [Full Text] [Related] Page: [Next] [New Search]