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

Grzegorz Majewski, Bartosz Szeląg, Anita Białek, Michał Stachura, Barbara Wodecka, Ewa Anioł, Tomasz Wdowiak, Andrzej Brandyk, Wioletta Rogula-Kozłowska and Grzegorz Łagód
Additional contact information
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
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

Energies, 2021, vol. 14, issue 24, 1-39

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.

Keywords: visibility; ambient air pollution; air pollution index; rainfall; annual mortality; human health; probabilistic approach (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/24/8397/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/24/8397/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:24:p:8397-:d:701237

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().