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Pregled bibliografske jedinice broj: 1180557

The PM2.5-bound polycyclic aromatic hydrocarbon behavior in indoor and outdoor environments, part II: Explainable prediction of benzo[a]pyrene levels


Stojić, Andreja; Jovanović, Gordana; Stanišić, Svetlana; Herceg Romanić, Snježana; Šoštarić, Andrej; Udovičić, Vladimir; Perišić, Mirjana; Milićević, Tijana
The PM2.5-bound polycyclic aromatic hydrocarbon behavior in indoor and outdoor environments, part II: Explainable prediction of benzo[a]pyrene levels // Chemosphere, 289 (2022), 133154, 9 doi:10.1016/j.chemosphere.2021.133154 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1180557 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
The PM2.5-bound polycyclic aromatic hydrocarbon behavior in indoor and outdoor environments, part II: Explainable prediction of benzo[a]pyrene levels

Autori
Stojić, Andreja ; Jovanović, Gordana ; Stanišić, Svetlana ; Herceg Romanić, Snježana ; Šoštarić, Andrej ; Udovičić, Vladimir ; Perišić, Mirjana ; Milićević, Tijana

Izvornik
Chemosphere (0045-6535) 289 (2022); 133154, 9

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Indoor air pollution, Outdoor air pollution, benzo[a]pyrene, Machine learning, Explainable artificial intelligence

Sažetak
Among the polycyclic aromatic hydrocarbons (PAH), benzo[a]pyrene (B[a]P) has been considered more relevant than other species when estimating the potential exposure-related health effects and has been recognized as a marker of carcinogenic potency of air pollutant mixture. The current understanding of the factors which govern non-linear behavior of B[a]P and associated pollutants and environmental processes is insufficient and further research has to rely on the advanced analytical approach which averts the assumptions and avoids simplifications required by linear modeling methods. For the purpose of this study, we employed eXtreme Gradient Boosting (XGBoost), SHapley Additive exPlanations (SHAP) attribution method, and SHAP value fuzzy clustering to investigate the concentrations of inorganic gaseous pollutants, radon, PM2.5 and particle constituents including trace metals, ions, 16 US EPA priority PM2.5-bound PAHs and 31 meteorological variables, as key factors which shape indoor and outdoor PM2.5-bound B[a]P distribution in a university building located in the urban area of Belgrade (Serbia). According to the results, the indoor and outdoor B[a]P levels were shown to be highly correlated and mostly influenced by the concentrations of Chry, B[b]F, CO, B[a]A, I[cd]P, B[k]F, Flt, D[ah]A, Pyr, B[ghi]P, Cr, As, and PM2.5 in both indoor and outdoor environments. Besides, high B[a]P concentration events were recorded during the periods of low ambient temperature (<12 ◦C), unstable weather conditions with precipitation and increased soil humidity.

Izvorni jezik
Engleski

Znanstvena područja
Kemija



POVEZANOST RADA


Ustanove:
Institut za medicinska istraživanja i medicinu rada, Zagreb

Profili:

Avatar Url Snjezana Herceg-Romanic (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Stojić, Andreja; Jovanović, Gordana; Stanišić, Svetlana; Herceg Romanić, Snježana; Šoštarić, Andrej; Udovičić, Vladimir; Perišić, Mirjana; Milićević, Tijana
The PM2.5-bound polycyclic aromatic hydrocarbon behavior in indoor and outdoor environments, part II: Explainable prediction of benzo[a]pyrene levels // Chemosphere, 289 (2022), 133154, 9 doi:10.1016/j.chemosphere.2021.133154 (međunarodna recenzija, članak, znanstveni)
Stojić, A., Jovanović, G., Stanišić, S., Herceg Romanić, S., Šoštarić, A., Udovičić, V., Perišić, M. & Milićević, T. (2022) The PM2.5-bound polycyclic aromatic hydrocarbon behavior in indoor and outdoor environments, part II: Explainable prediction of benzo[a]pyrene levels. Chemosphere, 289, 133154, 9 doi:10.1016/j.chemosphere.2021.133154.
@article{article, author = {Stoji\'{c}, Andreja and Jovanovi\'{c}, Gordana and Stani\v{s}i\'{c}, Svetlana and Herceg Romani\'{c}, Snje\v{z}ana and \v{S}o\v{s}tari\'{c}, Andrej and Udovi\v{c}i\'{c}, Vladimir and Peri\v{s}i\'{c}, Mirjana and Mili\'{c}evi\'{c}, Tijana}, year = {2022}, pages = {9}, DOI = {10.1016/j.chemosphere.2021.133154}, chapter = {133154}, keywords = {Indoor air pollution, Outdoor air pollution, benzo[a]pyrene, Machine learning, Explainable artificial intelligence}, journal = {Chemosphere}, doi = {10.1016/j.chemosphere.2021.133154}, volume = {289}, issn = {0045-6535}, title = {The PM2.5-bound polycyclic aromatic hydrocarbon behavior in indoor and outdoor environments, part II: Explainable prediction of benzo[a]pyrene levels}, keyword = {Indoor air pollution, Outdoor air pollution, benzo[a]pyrene, Machine learning, Explainable artificial intelligence}, chapternumber = {133154} }
@article{article, author = {Stoji\'{c}, Andreja and Jovanovi\'{c}, Gordana and Stani\v{s}i\'{c}, Svetlana and Herceg Romani\'{c}, Snje\v{z}ana and \v{S}o\v{s}tari\'{c}, Andrej and Udovi\v{c}i\'{c}, Vladimir and Peri\v{s}i\'{c}, Mirjana and Mili\'{c}evi\'{c}, Tijana}, year = {2022}, pages = {9}, DOI = {10.1016/j.chemosphere.2021.133154}, chapter = {133154}, keywords = {Indoor air pollution, Outdoor air pollution, benzo[a]pyrene, Machine learning, Explainable artificial intelligence}, journal = {Chemosphere}, doi = {10.1016/j.chemosphere.2021.133154}, volume = {289}, issn = {0045-6535}, title = {The PM2.5-bound polycyclic aromatic hydrocarbon behavior in indoor and outdoor environments, part II: Explainable prediction of benzo[a]pyrene levels}, keyword = {Indoor air pollution, Outdoor air pollution, benzo[a]pyrene, Machine learning, Explainable artificial intelligence}, chapternumber = {133154} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


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