The Use of Innovative Methodology for the Characterization of Benzene, Toluene, Ethylbenzene and Xylene Sources in the Belgrade Area

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

DOI: 10.15308/Sinteza-2020-41-45

Oblast: Artificial Intelligence Atlas

Stranice: 41-45

Apstrakt:
The growth of urban population, economic development, urbanization and transport have a strong impact on environmental pollution. The increase in air pollutant concentrations over the last few decades has been in focus of contemporary science and research mainly for its adverse effects on public health, environment and climate change. In this paper, we are using the innovative integrated methodology for spatio-temporal air pollution modeling, based on receptor-oriented air circulation modeling and artificial intelligence implemented through machine learning methods for detailed characterization of toxic, mutagenic and carcinogenic representatives of volatile organic species – benzene, toluene, ethylbenzene and xylene, in the Belgrade area. Also, the study evaluates the possibilities of spatio-temporal forecast based on the integrated methodology. The results suggest that temperature and wind speed represent the main parameters which govern the spatio-temporal distribution of benzene, while the impact of other factors shows significant variations depending on the characteristics of receptor location.
Ključne reči: Keywords – BTEX, artificial intelligence, machine learning, volatile organic compounds.
Priložene datoteke:
  • 41-45 ( veličina: 3,93 MB, broj pregleda: 72 )

Preuzimanje citata:

BibTeX format
@article{article,
  author  = {S. Stanišić, M. Perišić and A. Stojić}, 
  title   = {The Use of Innovative Methodology for the Characterization of Benzene, Toluene, Ethylbenzene and Xylene Sources in the Belgrade Area},
  journal = {International Scientific Conference on Information Technology and Data Related Research},
  year    = 2020,
  pages   = {41-45},
  doi     = {10.15308/Sinteza-2020-41-45}
}
RefWorks Tagged format
RT Conference Proceedings
A1 Svetlana Stanišić
A1 Mirjana Perišić
A1 Andreja Stojić
T1 The Use of Innovative Methodology for the Characterization of Benzene, Toluene, Ethylbenzene and Xylene Sources in the Belgrade Area
AD Univerzitet Singidunum, Beograd, Beograd, Srbija
YR 2020
NO doi: 10.15308/Sinteza-2020-41-45
Unapred formatirani prikaz citata
S. Stanišić, M. Perišić and A. Stojić, The Use of Innovative Methodology for the Characterization of Benzene, Toluene, Ethylbenzene and Xylene Sources in the Belgrade Area, Univerzitet Singidunum, Beograd, 2020, doi:10.15308/Sinteza-2020-41-45