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Risk assessment of occupational exposure to benzene using numerical simulation in a complex geometry of a reforming unit of petroleum refinery

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Abstract

There has been an increasing concern about the continuous and the sudden release of volatile organic pollutants from petroleum refineries and occupational and environmental exposures. Benzene is one of the most prevalent volatile compounds, and it has been addressed by many authors for its potential toxicity in occupational and environmental settings. Due to the complexities of sampling and analysis of benzene in routine and accidental situations, a reliable estimation of the benzene concentration in the outdoor setting of refinery using a computational fluid dynamics (CFD) could be instrumental for risk assessment of occupational exposure. In the present work, a computational fluid dynamic model was applied for exposure risk assessment with consideration of benzene being released continuously from a reforming unit of a refinery. For simulation of benzene dispersion, GAMBIT, FLUENT, and CFD post software are used as preprocessing, processing, and post-processing, respectively. Computational fluid dynamic validation was carried out by comparing the computed data with the experimental measurements. Eventually, chronic daily intake and lifetime cancer risk for routine operations through the two seasons of a year are estimated through the simulation model. Root mean square errors are 0.19 and 0.17 for wind speed and concentration, respectively. Lifetime risk assessments of workers are 0.4–3.8 and 0.0096–0.25 per 1000 workers in stable and unstable atmospheric conditions, respectively. Exposure risk is unacceptable for the head of shift work, chief engineer, and general workers in 141 days (38.77%) in a year. The results of this study show that computational fluid dynamics is a useful tool for modeling of benzene exposure in a complex geometry and can be used to estimate lifetime risks of occupation groups in a refinery setting.

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  1. - Intel (R) Xeon (R) CPU E5-2660 V2 at 2.20 GHz

References

  • Almohammadi KM, Ingham DB, Ma L, Pourkashan M (2013) Computational fluid dynamics (CFD) mesh independency techniques for a straight blade vertical axis wind turbine. Energy 58:483–493

    Article  Google Scholar 

  • Arunachalam S, Valencia A, Akita Y, Serre ML, Omary M, Garcia V, Isakov V (2014) A method for estimating urban background concentrations in support of hybrid air pollution modeling for environmental health studies. Int J Environ Res Public Health 11(10):10518–10536. https://doi.org/10.3390/ijerph111010518

    Article  Google Scholar 

  • Ashrafi K, Hoshyaripour GA (2010) A model to determine atmospheric stability and its correlation with CO concentration. Int J Civ Environ Eng 2(2):6

    Google Scholar 

  • Awadalla MS, Lu T-F, Tian ZF, Dally B (2012) CFD modeling of 3D indoor gas contaminant plumes for testing search algorithms of mobile robot. Gas 2(S5):S6

    Google Scholar 

  • Azari MR, Konjin ZN, Zayeri F, Salehpour S, Seyedi M (2011) Occupational exposure of petroleum depot workers to BTEX compounds. Int J Occup Environ Med 3(1 January)

  • Bari MA, Kindzierski WB (2017) Concentrations, sources and human health risk of inhalation exposure to air toxics in Edmonton, Canada. Chemosphere 173:160–171. https://doi.org/10.1016/j.chemosphere.2016.12.157

    Article  CAS  Google Scholar 

  • Buccolieri R, Gromke C, Di Sabatino S, Ruck B (2009) Aerodynamic effects of trees on pollutant concentration in street canyons. Sci Total Environ 407(19):5247–5256. https://doi.org/10.1016/j.scitotenv.2009.06.016

    Article  CAS  Google Scholar 

  • Bunch AG, Perry CS, Abraham L, Wikoff DS, Tachovsky JA, Hixon JG, Urban JD, Harris MA, Haws LC (2014) Evaluation of impact of shale gas operations in the Barnett Shale region on volatile organic compounds in air and potential human health risks. Sci Total Environ 468–469:832–842

    Article  Google Scholar 

  • Capleton AC, Levy LS (2005) An overview of occupational benzene exposures and occupational exposure limits in Europe and North America. Chem Biol Interact 153–154:43–53

    Article  Google Scholar 

  • Chung EK, Jang JK, Koh DH (2017) A comparison of benzene exposures in maintenance and regular works at Korean petrochemical plants. J Chem Health Saf 24(3):21–26. https://doi.org/10.1016/j.jchas.2016.09.006. (http://www.sciencedirect.com/science/article/pii/S1871553216300792)

  • Di Sabatino S, Buccolieri R, Pulvirenti B, Britter R (2007) Simulations of pollutant dispersion within idealised urban-type geometries with CFD and integral models. Atmos Environ 41(37):8316–8329. https://doi.org/10.1016/j.atmosenv.2007.06.052

    Article  Google Scholar 

  • Edokpolo B, Yu Q, Connell D (2015) Health risk assessment for exposure to benzene in petroleum refinery environments. Int J Environ Res Public Health 12(1):595–610. https://doi.org/10.3390/ijerph120100595

    Article  Google Scholar 

  • Eyayo F (2014) Evaluation of occupational health hazards among oil industry workers: a case study of refinery workers. IOSR J Environ Sci Toxicol Food Technol (IOSR-JESTFT) 8:22–53

    Article  Google Scholar 

  • Hasan NH, Said M, Leman A (2013) Health effect from volatile organic compounds and useful tools for future prevention: a review. Int J Environ Eng Sci Technol Res 1(2):28–36

    Google Scholar 

  • Hajji Y, Bouteraa M, Cafsi AE, Belghith A, Bournot P, Kallel F (2014) Dispersion and behavior of hydrogen during a leak in a prismatic cavity. Int J Hydrog Energy 39(11):6111–6119

    Article  CAS  Google Scholar 

  • Haoli, C. and L. Dejun (2010). 3D CFD simulation of manufactured gas pipeline leakage and dispersion in urban areas. Liu Jiongtian. Ni Weidou. Collected papers of forum on the second China energy scientist, Irvinc: Scientific research publishing.

  • Holmes NS, Morawska L (2006) A review of dispersion modelling and its application to the dispersion of particles: an overview of different dispersion models available. Atmos Environ 40(30):5902–5928

    Article  CAS  Google Scholar 

  • Hosseini SY, Azari MR, Zendehdel R, Souri H, Rahimian RT (2015) Feasibility the biological monitoring of workers exposed to benzene and toluene via measuring the parent compounds in the exhaled breath. Health Scope 4(3)

  • Hunter PR, Fewtrell L (2001) Acceptable risk. Water quality: guidelines, standards and health. Risk assessment and management for water-related infectious disease. IWA Publishing, London, pp 207–227

    Google Scholar 

  • IARC (2010) International Agency for Research on Cancer, Monographs on the evaluation of carcinogen risk to human

  • Hanna SR, Hansen OR, Ichard M, Strimaitis D (2009) CFD model simulation of dispersion from chlorine railcar releases in industrial and urban areas. Atmos Environ 43(2):262–270. https://doi.org/10.1016/j.atmosenv.2008.09.081

    Article  CAS  Google Scholar 

  • Hazrati S, Rostami R, Farjaminezhad M, Fazlzadeh M (2016) Preliminary assessment of BTEX concentrations in indoor air of residential buildings and atmospheric ambient air in Ardabil, Iran. Atmos Environ 132:91–97. https://doi.org/10.1016/j.atmosenv.2016.02.042

    Article  CAS  Google Scholar 

  • Jacobson MZ (2005) Fundamentals of atmospheric modeling. Cambridge University Press. https://doi.org/10.1017/CBO9781139165389

  • Jianfeng L, Bin Z, Wenmao L (2011) A typical small-scale chlorine leak and dispersion simulation in industrial facilities. Int J Energy Environ 2(6):1039–1052

    Google Scholar 

  • Kalenge S, Lebouf RF, Hopke PK, Rossner A, Benedict-Dunn A (2013) Assessment of exposure to outdoor BTEX concentrations on the Saint Regis Mohawk Tribe reservation at Akwesasne New York State. Air Qual Atmos Health 6(1):181–193. https://doi.org/10.1007/s11869-011-0159-y

    Article  CAS  Google Scholar 

  • Kanjanasiranont N, Prueksasit T, Morknoy D (2017) Inhalation exposure and health risk levels to BTEX and carbonyl compounds of traffic policeman working in the inner city of Bangkok, Thailand. Atmos Environ 152:111–120. https://doi.org/10.1016/j.atmosenv.2016.11.062

    Article  CAS  Google Scholar 

  • Karakitsios SP, Papaloukas CL, Kassomenos PA, Pilidis GA (2007) Assessment and prediction of exposure to benzene of filling station employees. Atmos Environ 41(40):9555–9569

    Article  CAS  Google Scholar 

  • Li L, Li H, Zhang X, Wang L, Xu L, Wang X, Yu Y, Zhang Y, Cao G (2014) Pollution characteristics and health risk assessment of benzene homologues in ambient air in the northeastern urban area of Beijing, China. J Environ Sci 26(1):214–223. https://doi.org/10.1016/S1001-0742(13)60400-3

    Article  CAS  Google Scholar 

  • Manuele FA (2010) Acceptable risk: time for SH&E professionals to adopt the concept. Prof Saf 55(05):30–38

    Google Scholar 

  • Markiewicz M (2012) A review of mathematical models for the atmospheric dispersion of heavy gases. Part I. A classification of models. Ecol Chem Eng S 19:297

    CAS  Google Scholar 

  • Mazzoldi A, Hill T, Colls JJ (2008) CFD and Gaussian atmospheric dispersion models: a comparison for leak from carbon dioxide transportation and storage facilities. Atmos Environ 42(34):8046–8054. https://doi.org/10.1016/j.atmosenv.2008.06.038

    Article  CAS  Google Scholar 

  • Meroney R, Ohba R, Leitl B, Kondo H, Grawe D, Tominaga Y (2016) Review of CFD guidelines for dispersion modeling. Fluids 1(2):14

    Article  Google Scholar 

  • Middha P, Hansen OR (2009) CFD simulation study to investigate the risk from hydrogen vehicles in tunnels. Int J Hydrog Energy 34(14):5875–5886

    Article  CAS  Google Scholar 

  • Middha P, Hansen OR, Grune J, Kotchourko A (2010) CFD calculations of gas leak dispersion and subsequent gas explosions: validation against ignited impinging hydrogen jet experiments. J Hazard Mater 179(1–3):84–94. https://doi.org/10.1016/j.jhazmat.2010.02.061

    Article  CAS  Google Scholar 

  • Middha P, Ichard M, Arntzen BJ (2011) Validation of CFD modelling of LH2 spread and evaporation against large-scale spill experiments. Int J Hydrog Energy 36(3):2620–2627

    Article  CAS  Google Scholar 

  • Miri M, Rostami Aghdam M, Shendi HRG, Ebrahimi Aval H, Ahmadi E, Taban E, Gholizadeh A, Yazdani Aval M, Mohammadi A, Azari A (2016) Investigation of outdoor BTEX: concentration, variations, sources, spatial distribution, and risk assessment. Chemosphere 163:601–609. https://doi.org/10.1016/j.chemosphere.2016.07.088

    Article  CAS  Google Scholar 

  • Navasumrit P, Chanvaivit S, Intarasunanont P, Arayasiri M, Lauhareungpanya N, Parnlob V, Settachan D, Ruchirawat M (2005) Environmental and occupational exposure to benzene in Thailand. Chem Biol Interact 153:75–83

    Article  Google Scholar 

  • NIOSH (2003) Analytical method. Hydrocarbons, Aromatic, NIOSH NO 1501

  • OSHA (2002) Analytical method. Hydrocarbons, Aromatic, OSHA NO 15

  • Pontiggia M, Derudi M, Busini V, Rota R (2009) Hazardous gas dispersion: a CFD model accounting for atmospheric stability classes. J Hazard Mater 171(1–3):739–747. https://doi.org/10.1016/j.jhazmat.2009.06.064

    Article  CAS  Google Scholar 

  • Ramponi R, Blocken B (2012) CFD simulation of cross-ventilation for a generic isolated building: impact of computational parameters. Build Environ 53:34–48

    Article  Google Scholar 

  • Riddle A, Carruthers D, Sharpe A, McHugh C, Stocker J (2004) Comparisons between FLUENT and ADMS for atmospheric dispersion modelling. Atmos Environ 38(7):1029–1038. https://doi.org/10.1016/j.atmosenv.2003.10.052

    Article  CAS  Google Scholar 

  • Siddiqui M, Jayanti S, Swaminathan T (2012) CFD analysis of dense gas dispersion in indoor environment for risk assessment and risk mitigation. J Hazard Mater 209–210:177–185

    Article  Google Scholar 

  • Singh D, Kumar A, Kumar K, Singh B, Mina U, Singh BB, Jain VK (2016) Statistical modeling of O3, NOx, CO, PM2.5, VOCs and noise levels in commercial complex and associated health risk assessment in an academic institution. Sci Total Environ 572:586–594. https://doi.org/10.1016/j.scitotenv.2016.08.086

    Article  CAS  Google Scholar 

  • Smith MT, Jones RM, Smith AH (2007) Benzene exposure and risk of non-hodgkin lymphoma. Cancer Epidemiol Biomark Prev 16(3):385–391

    Article  CAS  Google Scholar 

  • Solazzo E, Vardoulakis S, Cai X (2011) A novel methodology for interpreting air quality measurements from urban streets using CFD modelling. Atmos Environ 45(29):5230–5239

    Article  CAS  Google Scholar 

  • Teoldi F, Lodi M, Benfenati E, Colombo A, Baderna D (2017) Air quality in the Olona Valley and in vitro human health effects. Sci Total Environ 579:1929–1939. https://doi.org/10.1016/j.scitotenv.2016.11.203

    Article  CAS  Google Scholar 

  • Testa E, Giammusso C, Bruno M, Maggiore P (2013) Fluid dynamic analysis of pollutants’ dispersion behind an aircraft engine during idling. Air Qual Atmos Health 6(2):367–383

    Article  CAS  Google Scholar 

  • Tunsaringkarn T, Prueksasit T, Kitwattanavong M, Siriwong W, Sematong S, Zapuang K, Rungsiyothin A (2012) Cancer risk analysis of benzene, formaldehyde and acetaldehyde on gasoline station workers. J Environ Eng Ecol Sci 1(1):1. https://doi.org/10.7243/2050-1323-1-1

    Article  Google Scholar 

  • Wang L, Chen Q (2008) Applications of a coupled multizone-CFD model to calculate airflow and contaminant dispersion in built environments for emergency management. HVAC R Res 14(6):925–939. https://doi.org/10.1080/10789669.2008.10391047

    Article  CAS  Google Scholar 

  • Wang A, Fang F, Pawliszyn J (2005) Sampling and determination of volatile organic compounds with needle trap devices. J Chromatogr A 1072(1):127–135

    Article  CAS  Google Scholar 

  • Yang L, Ye M (2014) CFD simulation research on residential indoor air quality. Sci Total Environ 472:1137–1144

    Article  CAS  Google Scholar 

  • Yimrungruang D, Cheevaporn V, Boonphakdee T, Watchalayann P, Helander HF (2008) Characterization and health risk assessment of volatile organic compounds in gas service station workers. Environment Asia 2:21–29

    Google Scholar 

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Acknowledgements

This study was conducted as a partial fulfillment of a Ph.D. thesis at the Shahid Beheshti University of Medical Sciences, and the authors thank the university authorities for their financial and moral support.

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Correspondence to Khosro Ashrafi or Mansour Rezazadeh Azari.

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Bayatian, M., Ashrafi, K., Azari, M.R. et al. Risk assessment of occupational exposure to benzene using numerical simulation in a complex geometry of a reforming unit of petroleum refinery. Environ Sci Pollut Res 25, 11364–11375 (2018). https://doi.org/10.1007/s11356-018-1318-6

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