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Relationship between Visibility, Air Pollution Index and Annual Mortality Rate in Association with the Occurrence of Rainfall—A Probabilistic Approach

Author

Listed:
  • Grzegorz Majewski

    (Institute of Environmental Engineering, Warsaw University of Life Sciences—SGGW, 02-787 Warsaw, Poland)

  • Bartosz Szeląg

    (Faculty of Environmental, Geomatic and Energy Engineering, Kielce University of Technology, 25-314 Kielce, Poland)

  • Anita Białek

    (Faculty of Environmental, Geomatic and Energy Engineering, Kielce University of Technology, 25-314 Kielce, Poland)

  • Michał Stachura

    (Faculty of Law and Social Sciences, Jan Kochanowski University, 25-369 Kielce, Poland)

  • Barbara Wodecka

    (Faculty of Law and Social Sciences, Jan Kochanowski University, 25-369 Kielce, Poland)

  • Ewa Anioł

    (Institute of Environmental Engineering, Warsaw University of Life Sciences—SGGW, 02-787 Warsaw, Poland)

  • Tomasz Wdowiak

    (Institute of Safety Engineering, The Main School of Fire Service, 01-629 Warsaw, Poland)

  • Andrzej Brandyk

    (Institute of Environmental Engineering, Warsaw University of Life Sciences—SGGW, 02-787 Warsaw, Poland)

  • Wioletta Rogula-Kozłowska

    (Institute of Safety Engineering, The Main School of Fire Service, 01-629 Warsaw, Poland)

  • Grzegorz Łagód

    (Faculty of Environmental Engineering, Lublin University of Technology, 20-618 Lublin, Poland)

Abstract

An innovative method was proposed to facilitate the analyses of meteorological conditions and selected air pollution indices’ influence on visibility, air quality index and mortality. The constructed calculation algorithm is dedicated to simulating the visibility in a single episode, first of all. It was derived after applying logistic regression methodology. It should be stressed that eight visibility thresholds (Vis) were adopted in order to build proper classification models with a number of relevant advantages. At first, there exists the possibility to analyze the impact of independent variables on visibility with the consideration of its’ real variability. Secondly, through the application of the Monte Carlo method and the assumed classification algorithms, it was made possible to model the number of days during a precipitation and no-precipitation periods in a yearly cycle, on which the visibility ranged practically: Vis < 8; Vis = 8–12 km, Vis = 12–16 km, Vis = 16–20 km, Vis = 20–24 km, Vis = 24–28 km, Vis = 28–32 km, Vis > 32 km. The derived algorithm proved a particular role of precipitation and no-precipitation periods in shaping the air visibility phenomena. Higher visibility values and a lower number of days with increased visibility were found for the precipitation period contrary to no-precipitation one. The air quality index was lower for precipitation days, and moreover, strong, non-linear relationships were found between mortality and visibility, considering precipitation and seasonality effects.

Suggested Citation

  • Grzegorz Majewski & Bartosz Szeląg & Anita Białek & Michał Stachura & Barbara Wodecka & Ewa Anioł & Tomasz Wdowiak & Andrzej Brandyk & Wioletta Rogula-Kozłowska & Grzegorz Łagód, 2021. "Relationship between Visibility, Air Pollution Index and Annual Mortality Rate in Association with the Occurrence of Rainfall—A Probabilistic Approach," Energies, MDPI, vol. 14(24), pages 1-39, December.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8397-:d:701237
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    References listed on IDEAS

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    1. P. E. Oguntunde & O. A. Odetunmibi & A. O. Adejumo, 2014. "A Study of Probability Models in Monitoring Environmental Pollution in Nigeria," Journal of Probability and Statistics, Hindawi, vol. 2014, pages 1-6, May.
    2. Suyeon Kim & Sangwoo Lee & Kwangil Hwang & Kyungjin An, 2017. "Exploring Sustainable Street Tree Planting Patterns to Be Resistant against Fine Particles (PM 2.5 )," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    3. Robert Oleniacz & Tomasz Gorzelnik, 2021. "Assessment of the Variability of Air Pollutant Concentrations at Industrial, Traffic and Urban Background Stations in Krakow (Poland) Using Statistical Methods," Sustainability, MDPI, vol. 13(10), pages 1-23, May.
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