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Warianty tytułu
Języki publikacji
Abstrakty
This study addresses estimation of emission rates and concentrations of SO2, CO and NO2 gases emitted from Daura Refinery (DR), Daura Power Plant (DPP) and South of Baghdad Power Plant (SBPP) by calculating the fuel discharge. The estimations were made by using the Gaussian plume model of dispersion at distances within 10 km from the pollution source for January, April, July and October 2017 under two stability conditions, slightly stable and moderately unstable. The effect of wind speed and direction as well as the ambient temperature of the surrounding air on the dispersion and transmission of air pollutants were also investigated. It was found that the unstable conditions are better for dispersing out atmospheric pollutants. The results showed that Zafarania District was the most affected by pollutants emitted from DR and BSPP while Daura District was more affected by DPP due to the prevailing wind direction. It was also found that an increase in wind speed leads to a decrease in the concentration of pollutants. The concentration of pollutants is inversely proportional to the height of the chimney, the speed of the gas leaving the chimney, while it is directly proportional to the diameter of the chimney. DPP has higher emission rates than DR and SBPP while at the surface level, the pollutants concentrations emitted from DR are greater than those emitted from DPP and SBPP.
Słowa kluczowe
Rocznik
Tom
Strony
195--207
Opis fizyczny
Bibliogr. 25 poz., rys., wykr., zdj.
Twórcy
autor
- Mustansiriyah University, College of Science, Department of Atmospheric Science, Palestine Street, 46131 Baghdad, Iraq
autor
- Mustansiriyah University, College of Science, Department of Atmospheric Science, Palestine Street, 46131 Baghdad, Iraq
Bibliografia
- Abiye, O., Sunmonu, L., Ajao, A., Akinola, O., Ayoola, M. & Jegede, O. (2016). Atmospheric dispersion modeling of uncontrolled gaseous pollutants (SO2 and NOX) emission from a scrap-iron recycling factory in Ile-Ife, Southwest Nigeria. Cogent Environmental Sciences, 2(1). 1275413. https://www.doi.org/10.1080/23311843.2016.1275413
- Al-Dabbas, M.A., Ali, L.A. & Afaj, A.H. (2012). The effect of Kirkuk Oil Refinery on Air pollution of Kirkuk City-Iraq. Proceeding of the 1st Conference on Dust Storms and their Environmental Effects, 17(18), 8-18.
- Al-Hassen, S.I., Al-Qarooni, E.H., Qassim M.H., Al-Saad, H.T. & Alhello, A. (2015). An experimental study on the determination of air pollutant concentrations released from selected outdoor gaseous emission in Basra City, Southern Iraq. Journal of International Academic Research for Multidisciplinary, 3(1), 88-98.
- Al-Jahdali, M.O. & Bin Bisher, A.S. (2008). Sulfur dioxide (SO2) accumulation in soil and plant’s leaves around an oil refinery: A case study from Saudi Arabia. American Journal of Environmental Sciences, 4(1), 84-88.
- Al-Suhaili, R.H. & Al-Khafaji, M.S. (2015). Integrated system for air pollution around refineries. Journal of Engineering, 15(4), 4204-4218.
- Awasthi, S., Khare, M. & Gargava, P. (2006). General plume dispersion model (GPDM) for point source emission. Environmental Modeling and Assessment, 11(3), 267-276.
- Camargo, E.C. & Lombardi, A.T. (2018). Effect of cement industry flue gas simulation on the physiology and photosynthetic performance of Chlorella sorokiniana. Journal of Applied Phycology, 30(2), 861-871.
- Cuinica, L.G., Abreu, I., Gomes, C.R. & Esteves da Silva, J.C.G. (2013). Exposure of Betula pendula Roth pollen to atmospheric pollutants CO, O3 and SO2. Grana, 52(4), 299-304.
- Damian, C. (2014). Environmental pollution in the petroleum refining industry. Analele Universitatii “Ovidius” Constanta. Chimie, 24(2), 109-114.
- Filonchyk, M., Hurynovich, V., Yan, H., Gusev, A. & Shpilevskaya, N. (2020). Impact assessment of COVID-19 on variations of SO2, NO2, co and AOD over east China. Aerosol and Air Quality Research, 20(7), 1530-1540.
- García-Gusano, D., Cabal, H. & Lechón, Y. (2015). Evolution of NOx and SO2 emissions in Spain: Ceilings versus taxes. Clean Technologies and Environmental Policy, 17(7), 1997-2011.
- Kumar, D.S., Bhushan, S.H. & Kishore, D.A. (2018). Atmospheric dispersion model to predict the impact of gaseous pollutant in an industrial and mining cluster. Global Journal of Environmental Science and Management, 4(3), 351-358.
- Leelőssy, Á., Molnár, F., Izsák, F., Havasi, Á., Lagzi, I. & Mészáros, R. (2014). Dispersion modeling of air pollutants in the atmosphere: a review. Central European Journal of Geosciences, 6(3), 257-278.
- Liu, Z., Yang, J., Zhang, J., Xiang, H. & Wei, H. (2019). A bibliometric analysis of research on acid rain. Sustainability, 11(11), 3077. https://www.doi.org/10.3390/su11113077
- Manii, J.K. & Al-Jumaylii, A.K. (2012). Monthly variation of some air pollutants in Hilla City – middle of Iraq. Journal of University of Babylon, 22(1), 1-12.
- Murtadah, I., Al-Sharify, Z.T. & Hasan, M.B. (2020). Atmospheric concentration saturated and aromatic hydrocarbons around Dura refinery. IOP Conference Series: Materials Science and Engineering, 870(1), 012033. https://www.doi.org/10.1088/1757-899X/870/1/012033
- Nirel, R. & Dayan, U. (2001). On the ratio of sulfur dioxide to nitrogen oxides as an indicator of air pollution sources. Journal of Applied Meteorology, 40(7), 1209-1222.
- Ragothaman, A. & Anderson, W.A. (2017). Air quality impacts of petroleum refining and petrochemical industries. Environments – MDPI, 4(3), 1-16.
- Sheng, Q. & Zhu, Z. (2019). Effects of nitrogen dioxide on biochemical responses in 41 garden plants. Plants, 8(2), 1-15.
- Shubbar, R. (2019). Numerical simulation of air pollutants using CALPUFF model at an urban area in Baghdad-Iraq (unpublished PhD thesis). Pukyong National University, Busan.
- Shubbar, R.M., Suadi, A.J. & Al-Jiboori, M.H. (2018). Study the concentration of SO2 emitted from Daura refinery by using screen view model. Al-Mustansiriyah Journal of Science, 29(3), 7-15.
- Vallero, D. (2014). Fundamentals of air pollution. Amsterdam: Elsevier.
- Wang, F., Chambers, S.D., Zhang, Z., Williams, A.G., Deng, X., Zhang, H., Lonati, G., Crawford, J., Griffiths, A.D., Ianniello, A. & Allegrini, I. (2016). Quantifying stability influences on air pollution in Lanzhou, China, using a radon-based “stability monitor”: Seasonality and extreme events. Atmospheric Environment, 145, 376-391.
- Weber, E. (1982). Fundamentals for the application of a Gaussian Plume Model. In E. Weber (eds.), Air Pollution: Assessment Methodology and Modeling (pp. 101–128). Berlin: Springer.
- Zhao, X., Li, K., Xiao, D. & Li, X. (2019). Experimental study of the mechanism of acid rain-gabbro Interaction. E3S Web of Conferences, 98, 01053. https://doi.org/10.1051/ e3sconf/20199801053
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f0866654-1452-4f3d-a965-381c7242c2d0