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Environ Sci Pollut Res Int


Title:Application of spatial analysis to investigate contribution of VOCs to photochemical ozone creation
Author(s):Sakizadeh M; Mohamed MM;
Address:"Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam. mohammad.sakizadeh@tdtu.edu.vn. Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam. mohammad.sakizadeh@tdtu.edu.vn. National Water Center, United Arab Emirates University, Al Ain, United Arab Emirates. Department of Civil and Environmental Engineering, College of Engineering, United Arab Emirates University, Al Ain, United Arab Emirates"
Journal Title:Environ Sci Pollut Res Int
Year:2020
Volume:20200115
Issue:10
Page Number:10459 - 10471
DOI: 10.1007/s11356-020-07628-4
ISSN/ISBN:1614-7499 (Electronic) 0944-1344 (Linking)
Abstract:"This study was concerned with the temporal analysis of benzene, toluene, ethylbenzene, xylenes (BTEXs), and ozone in Rochester, New York, between 2012 and 2018. Additionally, the influence of ozone precursors (e.g., BTEXs and NO(2)) and meteorological variables (e.g., relative humidity (RH), temperature along with wind speed) on ozone dispersion was investigated in the eastern half of the USA using the integrated nested Laplace approximation and stochastic partial differential equation (INLA-SPDE). The benzene variability at seasonal scale was characterized by higher values during the cold seasons. On the contrary, the long-term temporal trend of ozone depicted a repetitive cyclic behavior while an episode, with values exceeding 5 mug/m(3), was detected associated with benzene in 2015. The spatial analysis by INLA-SPDE indicated that 1,3,5-trimethylbenzene and benzene were the key ozone precursors influencing ozone formation. It was demonstrated that increase of temperature had a considerable impact on ozone build-up whereas the increment of RH leads to decrease in ambient values of ozone. The amounts of root mean squared error (RMSE), mean absolute error (MAE), and bias for the validation data (e.g., 32 samples) were 0.005, 0.004, and 0.0008, exhibiting a reasonable out-of-sample forecasting by the INLA-SPDE model. The distribution map of ozone highlighted a hot spot in the state of Florida"
Keywords:Air Pollutants/*analysis Benzene/analysis Environmental Monitoring Florida New York Ozone/*analysis Toluene/analysis Volatile Organic Compounds/*analysis Xylenes/analysis Btex Inla-spde Ozone Polar plot Volatile organic compounds;
Notes:"MedlineSakizadeh, Mohammad Mohamed, Mohamed Mostafa eng Germany 2020/01/16 Environ Sci Pollut Res Int. 2020 Apr; 27(10):10459-10471. doi: 10.1007/s11356-020-07628-4. Epub 2020 Jan 15"

 
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Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
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