OCCUPATIONAL EXPOSURE TO VOLATILE ORGANIC COMPOUNDS (VOCs), AND OTHER AIR POLLUTANTS FROM THE INDOOR APPLICATION OF WATER-BASED PAINTS

2019 ◽  
Vol 12 (11) ◽  
pp. 1335-1345
Author(s):  
Alicja Kolasa-Więcek ◽  
Dariusz Suszanowicz

Abstract The present paper discusses a novel methodology based on neural network to determine air pollutants’ correlation with life expectancy in European countries. The models were developed using historical data from the period 1992–2016, for a set of 20 European countries. The subject of the analysis included the input variables of the following air pollutants: sulphur oxides, nitrogen oxides, carbon monoxide, particulate matters, polycyclic aromatic hydrocarbons and non-methane volatile organic compounds. Our main findings indicate that all the variables significantly affect life expectancy. Sensitivity of constructed neural networks to pollutants proved to be particularly important in the case of changes in the value of particulate matters, sulphur oxides and non-methane volatile organic compounds. The most frequent association was found for fine particle. Modelled courses of changes in the variable under study coincide with the actual data, which confirms that the proposed models generalize acquired knowledge well.


2012 ◽  
Vol 1 (4) ◽  
pp. 277-288 ◽  
Author(s):  
Azeez Luqmon ◽  
Olaogun Musa ◽  
Adeoye Mariam ◽  
Lawal Abdulazeez ◽  
Agbaogun Babatunde ◽  
...  

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