Investigation Benzene emission from Gas Stations in Tehran’s 22 Districts and its Modeling in Regions with the Highest Emission Levels
الموضوعات :maryam chehrehei 1 , Seyed Alireza Mirzahosseini 2 , Nabiollah Mansouri 3 , Mohammad Hassan Behzadi 4 , Youssef Rashidi 5
1 - Faculty of Natural Resources and Environment, Islamic Azad University, Science and Research Branch, Tehran, Iran
2 - Environmental Engineering Department, Science and Research Branch, Islamic Azad University,Tehran,Iran
3 - Faculty of Natural Resources and Environment, Islamic Azad University, Science and Research Branch, Tehran, Iran
4 - Faculty of Basic Sciences, Islamic Azad University, Science and Research Branch, Tehran, Iran,
5 - Institute of Environmental Sciences, Shahid Beheshti University, Tehran, Iran
الکلمات المفتاحية: Modeling, gas station, Benzene Emission, Tehran’ s 22 Districts,
ملخص المقالة :
Volatile organic compounds including benzene that are produced in industrial activities, especially those emitted from gas stations, can have undesirable effects on the environment and human health. TANKS 4.09 d software was used to calculate benzene emissions from gasoline storage tanks in gas stations throughout the 22 Districts in Tehran. Benzene emissions 1.5 m above the ground was modeled for a 12-month statistical period (2018) using AERMOD. Based on the results of emissions, the maps of benzene dispersion and comparison with the number of loading, storage capacity and numbers of storage tanks and active nozzles, In this study, it was identified that benzene emissions have increased due to lack of proportionality between gasoline storage capacity and demand for it and the concentration of gas stations at specific sites without observance of the suitable distance between them. The highest concentration of benzene emissions was recorded in Districts 4,2,15 and 1 (0.143, 0.128, 0.121, 0.118 gr/s respectively) and the lowest in Districts 17 and 14 (0.008, 0.03 gr/s respectively).In heavy traffic Districts, the number of loading and hence benzene emissions have increased due to the high demand for gasoline, the disproportionality between storage capacity and consumer demand for gasoline, and the small number of gas stations. In light traffic Districts, benzene emissions have increased because of the low demand for gasoline, the lack of proportionality between storage capacity and demand for gasoline, and the large number of gas stations that leads to gasoline storage in excess of the demand for it.
Aleisa E, Savsar M , Al-Mashaan M M, Al-Jadi A,. Al-Sabah S A, (2014) A metaheuristic approach for location of gas stations in a metropolitan area, International Journal of Operational Research 21(2):172 -200.
Burghardt,TE , Pashkevich,A, Żakowska,L, (2016) Influence of Volatile Organic Compounds Emissions from Road Marking Paints on Ground-level Ozone Formation: Case Study of Krakow, Poland, Transportation Research Procedia 14: 714-723. doi.org/10.1016/j.trpro.2016.05.338
Chaiklieng S, Suggaravetsiri P, Autrup H,(2019) Risk Assessment on Benzene Exposure among Gasoline Station Workers, International Journal of Environmental Research and Public Health 16(14):2545. doi: 10.3390/ijerph16142545.
Correa S M ,Arbilla G , .Marques M R C , Oliveira K M P G,(2012) The impact of BTEX emissions from gas stations into the atmosphere, Atmospheric Pollution Research,3( 2): 163-169. doi: 10.5094/APR.2012.016.
Esmaelnejad F, Hajizadeh Y, Pourzamani H, Amin MM,(2015) Monitoring of benzene, toluene, ethyl benzene, and xylene isomers emission from Shahreza gas stations in 2013. International Journal of Environmental Health Engineering; 4:17.doi: 10.4103/2277-9183.157716.
Khalaj ,F, Melanie Sattler(2019) Modeling of VOCs and criteria pollutants from multiple natural gas well pads in close proximity, for different terrain conditions: A Barnett Shale case study, Atmospheric Pollution Research,(10)4: 1239-1249.
Gibson,M, Kundu ,S, Satish,M ,(2013) Dispersion model evaluation of PM2.5, NOx and SO2 from point and major line sources in Nova Scotia, Canada using AERMOD Gaussian plume air dispersion model. Atmospheric Pollution Research, 4(2): 157-167. doi: 10.5094/APR.2013.016.
Hajizadeh, Y, Mokhtari, M,Faraji, M, Mohammadi, A, Nemati, S Ghanbari, R,Abdolahnejad,A, , ,R,FouladiFard ,Nikoonahad ,A,,Jafari N,Miri , M,(2018) Trends of BTEX in the central urban area of Iran: A preliminary study of photochemical ozone pollution and health risk assessment, Atmospheric Pollution Research, 9( 2) 220.
Hedayatzadeh F and Hassanzadeh N(2020) Occurrence, Probable Source, and Health Risk Assessment of Benzene, Toluene, Ethylbenzene, and Xylene Compounds in Ambient Urban Atmosphere in Ahvaz, Iran, Journal Homepage, 9(2):152-167.
Huboyo H S, Wardhana I W, Resminingpuri A(2019) Revealing Benzene, Toluene, Ethyl Benzene, Xylenes (BTEX) Emission at Gas Stations, Case Study in Semarang City, EDP Sciences, 10002: 2.doi:10.1051/e3sconf/201912510002.
Karbasi A, KhoramnAsem Zavareh S R, Pejman Sani GH, (2018) Determination of the emission rate and modeling of benzene dispersion due to surface evaporation from an oil pit, Journal of Air Pollution and Health 3 (3). 155-166.
Katika, K and Karuchit, S, (2018), Estimation of Urban Air Pollutant Levels using AERMOD: A Case Study in Nakhon Ratchasima, Thailand. Earth and Environmental Science, 164 012024. doi :10.1088/1755-1315/164/1/012024.
Macêdo, M.F.M., Ramos, A.L.D. (2020) Vehicle atmospheric pollution evaluation using AERMOD model at avenue in a Brazilian capital city. Air Qual Atmos Health 13: 309–320. https://doi.org/10.1007/s11869-020-00792-z.
Mohammed, M.U., Musa, I.J., Jeb, D.N., (2014), GIS-Based Analysis of the Location of Filling Stations in Metropolitan Kano against the Physical Planning Standards, International Journal of Engineering Research 3(9):147-158.
Muhibbu-din I, (2020) Ozone Formation Potential and Toxicity Potential of VOCs emissions from a Nigerian petroleum products depot, Anthropogenic Pollution Jounral, 4(2) 8-14.
Neghab,M, Hosseinzadeh,K, Hassanzadeh,J, (2015), Early Liver and Kidney Dysfunction Associated with Occupational Exposure to Sub-Threshold Limit Value Levels of Benzene, Toluene, and Xylenes in Unleaded Petrol, Safety and Health at Work 6( 4) : 312-316.
National Iranian oil products Distribution Company (NIOPD, n. d). https://www.niopdc.ir/en/home.
Okonkwo Ugochukwu C., Orgi Ijioma N, Onwuamaeze, I(2014), Environmental impact assessment of petrol and gas filling station on air quality in UMUAHIA, NIGERIA, global journal of engineering research 13. 11-20.
Saxena P and Ghosh CH, (2012) A review of assessment of benzene, toluene, ethylbenzene and xylene (BTEX) concentration in urban atmosphere of Delhi, International Journal of the Physical Sciences 7(6):850-860.
Shuai J, Kim S, Ryu H, Park J, Lee C K, Kim G B, Ultra Jr V U, Yang W,(2018), Health risk assessment of volatile organic compounds exposure near Daegu dyeing industrial complex in South Korea, BMC Public Health, 18(1): 528.
Soltanpour Z, Mohammadian Y, Fakhri Y, (2021), the concentration of benzene, toluene, ethylbenzene, and xylene in ambient air of the gas stations in Iran: A systematic review and probabilistic health risk assessment, Toxicology and Industrial Health. doi.org/10.1177/0748233720981218.
Truong S C H, Lee M, Kim G, Kim D, Park J H, Choi S D, Cho G H , (2016), Accidental benzene release risk assessment in an urban area using an atmospheric dispersion model, Atmospheric Environment , 144: 146-159.
Tsai W T, (2016) Toxic Volatile Organic Compounds (VOCs) in theAtmospheric Environment: Regulatory Aspects andMonitoring in Japan and Korea, Environments. 3(3):23.
Tohid L, Sabeti Z ,Sarbakhsh P, Zoroufchi KH, ,Shakerkhatibi ,M, Rasoulzadeh Y,,Rahimian,R Darvishali S (2019), Spatiotemporal variation, ozone formation potential and health risk assessment of ambient air VOCs in an industrialized city in Iran, Atmospheric Pollution Research, 10 ( 2): 556-563.
U.S. Environmental Protection Agency, (1999). “User’s Guide to TANKS, Storage Tank Emissions Calculation Software Version 4.0” Emission Factor and Inventory Group Emissions, Monitoring, and Analysis Division Office of Air Quality Planning and Standards. https://www3.epa.gov/ttnchie1/software/tanks/tank4man.pdf.
U.S. Environmental Protection Agency, (2018), “User's Guide for the AMS/EPA Regulatory Model-AERMOD”. Office of Air Quality Planning and Standards Air Quality Assessment Division Air Quality Modeling Group Research Triangle Park,North Carolina, EPA-454/B-18-001 https://gaftp.epa.gov/Air/aqmg/SCRAM/models/preferred/aermod / user guide.