Dispersion of NO2 pollutant in a gas refinery with AERMOD model: A case study in the Middle East
Introduction: Air pollution from industrial sources is a growing problem increasing the amount of air pollution by emitting various gaseous pollutants such as Nitrogen Oxides (NOx). This study analyzed Nitrogen dioxide (NO2) emissions using American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD) from the stacks and flares of a gas refinery in the Middle East.
Materials and methods: The NO2 emissions were measured from the stacks and flare of the refinery (231 samples). The distribution of emissions was investigated over a statistical period of 1 year for an average time of 1 h using the AERMOD dispersion model in an area of 25×25 km2. The predicted concentrations were compared with national and international standards and are plotted for the desired zones.
Results: Comparison of simulation results with national and international clean air standards showed that NO2 emission modeled in all periods of 4 seasons is higher than the standard. Examination of NO2 emission and distribution maps also showed that the maximum concentration of NO2 pollutants occurred in the central parts and the area close to the refinery. The highest maximum concentration of 1-h NO2 was 3744.3716 μg/m3
in summer in the west and south of the refinery. Validation results also showed a high correlation between the predicted and actual results.
Conclusion: The power of resources in emission and distribution, topographic conditions, and meteorological characteristics of the region are three important and influential factors in the distribution of NO2 pollutants. So pollution reduction strategies are needed due to the different types of use, surrounding residential areas, personnel, and people involved in the gas refining company.
Modeling Air Dispersion of Pollutants Emitted
from the Daura Oil Refinery, Baghdad-Iraq
using the CALPUFF Modeling System. J
Environ Informatics Lett. 2019; 2(1): 28–39.
2. Moridzadeh M, Dehghani S, Rafiee A,
Hassanvand MS, Dehghani M, Hoseini M.
Assessing BTEX exposure among workers
of the second largest natural gas reserve
in the world: a biomonitoring approach.
Environmental Science and Pollution Research.
2020; 27(35): 44519–27.
3. Lee CY, Zhou P. Directional shadow price
estimation of CO2
in the United
States coal power industry 1990–2010. Energy
Economics. 2015; 51: 493–502.
4. Nam KM, Waugh CJ, Paltsev S, Reilly JM,
Karplus VJ. Carbon co-benefits of tighter
regulations in China. Global
Environmental Change. 2013; 23(6): 1648–61.
5. Omidvarborna H, Kumar A, Kim DS, Reviews
SE. Recent studies on soot modeling for diesel
combustion. Renewable and Sustainable
Energy Reviews. 2015; 48: 635–47.
6. Atabi F, Jafarigol F, Moattar F, Nouri J.
Comparison of AERMOD and CALPUFF
models for simulating SO2
a gas refinery. Environmental Monitoring and
Assessment. 2016; 188(9): 1–13.
7. Podrez M. An update to the ambient
ratio method for 1-h NO2
standards dispersion modeling. Atmospheric
environment. 2015; 103: 163–70.
8. Jafarigol F, Atabi F, Moattar F, Nouri J.
Predicting ambient concentrations of NO2
gas refinery located in South Pars Gas Complex.
International Journal of Environmental Science
and Technology. 2016; 13(3): 897–906.
9. Kamarehie B, Ghaderpoori M, Jafari A,
Karami M, Mohammadi A, Azarshab K, et al.
Quantification of health effects related to SO2
pollutants by using air quality model.
Journal of Advances in Environmental Health
Research. 2017; 5(1): 44–50.
10. Khaniabadi YO, Goudarzi G, Daryanoosh
SM, Borgini A, Tittarelli A, De Marco A.
Exposure to PM10, NO2
, and O3
on human health. Environmental science and
pollution research. 2017; 24(3): 2781–9.
11. Mousavi SS, Goudarzi G, Sabzalipour S,
Rouzbahani MM, Hassan EM. An evaluation of
, and SO2
emissions during continuous
and non-continuous operation in a gas refinery
using the AERMOD. Environmental Science
and Pollution Research. 2021: 1–13.
12. Zair F, Mouqallid M, Chatri EH. Numerical
simulation of pollutants dispersion emitted by
a bent stack. Environmental Fluid Mechanics.
13. Khazini L, Dehkharghanian ME, Vaezihir
A. Dispersion and modeling discussion of
aerosol air pollution caused during mining and
processing of open-cast mines. International
Journal of Environmental Science and
Technology. 2022; 19(2): 913–24.
14. Bilal M, Hassan M, Tahir DBT, Iqbal
MS, Shahid I. Understanding the role of
atmospheric circulations and dispersion of air
pollution associated with extreme smog events
over South Asian megacity. Environmental
Monitoring and Assessment. 2022; 194(2):
15. Farivar Ghaziani S, Ahmadi Orkomi A,
Rajabi MA. Gaseous air pollutants dispersion emitted from point and line sources by
coupling WRF-AERMOD models (Case study:
Lowshan, Guilan Province, Iran). Caspian
Journal of Environmental Sciences. 2021;
16. Hesami Arani M, Jaafarzadeh N,
Moslemzadeh M, Rezvani Ghalhari M, Bagheri
Arani S, Mohammadzadeh M. Dispersion of
pollutants in the rolling industry
with AERMOD model: a case study to assess
human health risk. Journal of Environmental
Health Science and Engineering. 2021
17. Minabi A, Atabi F, Moatar F, Jafari M.
Prediction of NO2
concentrations in a gas
refinery using air dispersion modeling. Applied
Ecology and Environmental Research. 2017;
18. Krzyzanowski J. Approaching cumulative
effects through air pollution modelling. Water,
Air, Soil Pollution. 2011; 214(1): 253–73.
19. Cohan A, Wu J, Dabdub D. High–resolution
pollutant transport in the San Pedro Bay of
California. Atmospheric Pollution Research.
2011; 2(3): 237–46.
20. Chavoshi B, Massoudinjad MR, Adibzadeh
A. Evaluation the amount of emission and
sulfur dioxide emission factor from Tehran
oil refinery. Iranian Journal of Health and
Environment. 2011; 10;4(2):233-44.
21. Michael AO, Joepen EP. Modeling of
pollutants from artisanal refining of crude oil
in Port Harcourt: A case study of Eagle Island.
World Journal of Advanced Engineering
Technology and Sciences. 2021; 2(1): 34–44.
22. Zakaria R, Aly SH. Air dispersion
modelling of gas turbine power plant emissions
in Makassar by using AERMOD. InIOP
Conference Series: Earth and Environmental
Science. 2020; 419(1): 12153.
23. Driscoll CT, Buonocore JJ, Levy JI, Lambert
KF, Burtraw D, Reid SB, et al. US power plant
carbon standards and clean air and health cobenefits. Nature Climate Change. 2015; 5(6):
24. Shahsavani S, Hoseini M, Dehghani M,
Fararouei M. Characterisation and potential
source identification of polycyclic aromatic
hydrocarbons in atmospheric particles (PM10)
from urban and suburban residential areas in
Shiraz, Iran. Chemosphere. 2017; 183: 557–64.
25. Abdul-Wahab S, Chan K, Ahmadi L, Elkamel
A. Impact of geophysical and meteorological
conditions on the dispersion of NO2
Air Quality, Atmosphere & Health. 2014; 7(2):
26. Zhao Y, Zhang K, Xu X, Shen H, Zhu
X, Zhang Y, et al. Substantial changes in
nitrogen dioxide and ozone after excluding
meteorological impacts during the COVID-19
outbreak in mainland China. Environmental
Science & Technology Letters. 2020; 7(6):
27. Kakareka S V, Salivonchyk S V, Kokosh
YG. AERMOD Application for Assessment
of Formaldehyde Emission Dispersion from
Chipboard Production. Russian Meteorology
and Hydrology. 2019; 44(5): 338–44.
28. Cerqueira JS, Albuquerque HN, Sousa
FА. Atmospheric pollutants: modeling with
Aermod software. Air Quality, Atmosphere &
Health. 2019 Jan 1;12:21-32.
29. Manjezi A.S. Hosseini Al-Hashimi, and
M.S. Generous R. Modeling the distribution
of CO, SO2
gases in Masjed Soleiman
Oil and Gas Exploitation Unit No 9 using AERMOD. Natl Conf Spec Exhib Environ
|Issue||Vol 7 No 3 (2022): Summer 2022|
|Air pollution modeling; AERMOD; Nitrogen dioxide (NO2 )|
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