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Prediction of Greenhouse Series Evolution. A Case Study

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Book cover Modelling and Development of Intelligent Systems (MDIS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1126))

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Abstract

One of the major global concerns nowadays is definitely the pollution. The effects are more and more visible as time passes, our daily activities affecting the environment more than they should. Pollution has effects on air, water and soil. According to the European Economic Area (EEA), air pollution is the main cause of premature death in 41 European nations. Their studies found high levels of air pollutants in Poland that came second on the list, topped by Turkey. Therefore, in this article we aim to determine a model for greenhouse gas (GHG) emissions and atmospheric pollutants in Poland based on a set of data retrieved from a European statistics website.

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References

  1. Atkinson, R.W., Ross Anderson, H., et al.: Acute effects of particulate air pollution on respiratory admissions: results from APHEA 2 project. Air Pollut. Healndth 164, 1860–1866 (2001)

    Google Scholar 

  2. Bărbulescu, A.: Studies on Time Series. Applications in Environmental Sciences. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-319-30436-6

    Book  Google Scholar 

  3. Bărbulescu, A., Barbes, L.: Models for the pollutants correlation in the Romanian Littoral. Rom. Rep. Phys. 66(4), 1189–1199 (2014)

    Google Scholar 

  4. Bărbulescu, A., Barbes, L.: Mathematical modelling of sulfur dioxide concentration in the western part of Romania. J. Environ. Manag. 204(Part 3), 825–830 (2017)

    Article  Google Scholar 

  5. Bărbulescu, A., Barbes, L.: Modeling the carbon monoxide dissipation in Timisoara Romania. J. Environ. Manag. 204(Part 3), 831–838 (2017)

    Article  Google Scholar 

  6. Bărbulescu, A., Barbes, L., Nazzal, Y.: New model for inorganic pollutants dissipation on the northern part of the Romanian Black Sea coast. Rom. J. Phys. 63(5–6), 806 (2018)

    Google Scholar 

  7. Bărbulescu, A., Nazzal, Y.: Statistical analysis of the dust storms in the United Arab Emirates. Atmos. Res. 231, 104669 (2000)

    Article  Google Scholar 

  8. Binkowski, L.J., et al.: Relationship between air pollution and metal levels in cancerous and non-cancerous lung tissues. J. Environ. Sci. Health. Part A 51(14), 1303–1308 (2016)

    Article  Google Scholar 

  9. Buishand, T.: A: Some methods for testing the homogeneity of rainfall records. J. Hydrol. 58, 11–27 (1982)

    Article  Google Scholar 

  10. Buishand, T.A.: Tests for detecting a shift in the mean of hydrological time series. J. Hydrol. 58, 51–69 (1984)

    Article  Google Scholar 

  11. European Environment Agency, Air quality in Europe – 2018. https://www.eea.europa.eu/publications/air-quality-in-europe-2018. Accessed 20 July 2019

  12. Europa.eu. Database – Eurostat. https://ec.europa.eu/eurostat/data/database. Accessed 20 July 2019

  13. Gardner, E.S.: Exponential smoothing: the state of the art - Part II. Int. J. Forecast. 22(4), 637–666 (2006)

    Article  Google Scholar 

  14. Górski, J., Dragon, K., Kaczmarek, P.M.J.: Nitrate pollution in the Warta River (Poland) between 1958 and 2016: trends and causes. Environ. Sci. Pollut. Res. 26(3), 2038–2046 (2019)

    Article  Google Scholar 

  15. Hillmer, S.C., Tiao, G.C.: An ARIMA model-based approach to seasonal adjustment. J. Am. Stat. Assoc. 77(377), 63–70 (1982)

    Article  MathSciNet  Google Scholar 

  16. Hubert, P., Carbonnel, J.P.: Segmentation des séries annuelles de débits de grands fleuves africains. Bulletin de liaison du CIEH 92, 3–10 (1993)

    Google Scholar 

  17. Kehagias, A.: A hidden Markov model segmentation procedure for hydrological and environmental time series. Stoch. Env. Res. Risk Assess. 18(2), 117–130 (2004)

    Article  MathSciNet  Google Scholar 

  18. Lee, A.F.S., Heghinian, S.M.: A shift of the mean level in a sequence of independent normal random variables - a bayesian approach. Technometrics 19(4), 503–506 (1977)

    MathSciNet  MATH  Google Scholar 

  19. Parascandola, M.: Ambient air pollution and lung cancer in Poland: research findings and gaps. J. Health Inequalities 4(1), 3–8 (2018)

    Article  Google Scholar 

  20. reddit (2011). https://www.reddit.com/r/europe/comments/8i4ia3/36_out_of_50_most_polluted_cities_in_the_eu_are/. Accessed 10 Sept 2019

  21. The World Air Quality Index project. World’s Air Pollution: Real-time Air Quality Index (2019). http://waqi.info/. Accessed 20 July 2019

  22. Zhang, G.P.: Time series forecasting using a hybrid ARIMA and neural network model. Neurocomputing 50, 159–175 (2003)

    Article  Google Scholar 

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Authors and Affiliations

  1. Ovidius University of Constanta, Constanța, Romania

    Maria-Alexandra Badea, Cristina-Cleopatra Bacauanu & Alina Barbulescu

Authors
  1. Maria-Alexandra Badea
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  2. Cristina-Cleopatra Bacauanu
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  3. Alina Barbulescu
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Corresponding author

Correspondence to Alina Barbulescu .

Editor information

Editors and Affiliations

  1. Lucian Blaga University of Sibiu, Sibiu, Romania

    Dana Simian

  2. Lucian Blaga University of Sibiu, Sibiu, Romania

    Laura Florentina Stoica

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Badea, MA., Bacauanu, CC., Barbulescu, A. (2020). Prediction of Greenhouse Series Evolution. A Case Study. In: Simian, D., Stoica, L. (eds) Modelling and Development of Intelligent Systems. MDIS 2019. Communications in Computer and Information Science, vol 1126. Springer, Cham. https://doi.org/10.1007/978-3-030-39237-6_9

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  • DOI: https://doi.org/10.1007/978-3-030-39237-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39236-9

  • Online ISBN: 978-3-030-39237-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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