Meteorological Factors Governing Particulate Matter Distribution in an Urban Environment

Izdanje: Sinteza 2021 - International Scientific Conference on Information Technology and Data Related Research

DOI: 10.15308/Sinteza-2021-89-93

Oblast: Environmental Data Science Session

Stranice: 89-93

Apstrakt:
In this study, the impact of meteorological factors on PM10 concentrations in the Belgrade urban area was investigated by using eXtreme Gradient Boosting (XGBoost) and SHapley Additive exPlanations (SHAP) attribution methods. As shown, XGBoost provided reliable PM10 predictions with relative errors in the range from approx. 19% to 26% and correlation coefficients higher than 0.95. The change in emission source intensity, momentum flux intensity, lifted index, humidity, and temperature, as well as concentrations of benzene, NO, NOx and SO2 were the most important variables that described the PM concentration dynamics in Belgrade urban area.
Ključne reči: Particulate Matter, Meteorological Factors, Machine Learning, Explainable Artificial Intelligence.
Priložene datoteke:
  • 89-93 ( veličina: 906,96 KB, broj pregleda: 24 )

Preuzimanje citata:

BibTeX format
@article{article,
  author  = {M. Perišić, G. Jovanović, S. Stanišić, A. Šoštarić and A. Stojić}, 
  title   = {Meteorological Factors Governing Particulate Matter Distribution in an Urban Environment },
  journal = {Sinteza 2021 - International Scientific Conference on Information Technology and Data Related Research},
  year    = 2021,
  pages   = {89-93},
  doi     = {10.15308/Sinteza-2021-89-93}
}
RefWorks Tagged format
RT Conference Proceedings
A1 Mirjana Perišić
A1 Gordana Jovanović
A1 Svetlana Stanišić
A1 Andrej Šoštarić
A1 Andreja Stojić
T1 Meteorological Factors Governing Particulate Matter Distribution in an Urban Environment 
AD Univerzitet Singidunum, Beograd, Beograd, Srbija
YR 2021
NO doi: 10.15308/Sinteza-2021-89-93
Unapred formatirani prikaz citata
M. Perišić, G. Jovanović, S. Stanišić, A. Šoštarić and A. Stojić, Meteorological Factors Governing Particulate Matter Distribution in an Urban Environment , Univerzitet Singidunum, Beograd, 2021, doi:10.15308/Sinteza-2021-89-93