Volume 10, Issue 1 (12-2022)
J Environ Health Eng 2022, 10(1): 83-99 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Naghdi S, Mirmohammadi M, Karimzadegan H, Gh J. the study of gaseous pollutants emitted from automotive industry and near road to the atmosphere using the combination of AERMOD dispersion model and MOVES model. J Environ Health Eng 2022; 10 (1) :83-99
URL: http://jehe.abzums.ac.ir/article-1-949-en.html
URL: http://jehe.abzums.ac.ir/article-1-949-en.html
Department of Environmental Engineering, School of environment, Tehran university, Tehran, Iran
Abstract: (818 Views)
Background: The establishment of automotive industries in urban areas can affect the air quality of cities due to the variety of pollutants emitted from them. The aim of this study is to investigate the simultaneous effects of the Saipa automobile industry and two surrounding highways on air quality.
Methods: In this study, meteorological data suitable for modeling the distribution of pollutants have been prepared from the Mehrabad meteorological station, and the modeling of the distribution of nitrogen dioxide and carbon monoxide gaseous pollutants released from automobile factories and linear sources was done by AERMOD software, and the accuracy of the results It was confirmed by field measurements of NO2 pollution by passive adsorbents.
Results: The validation results show the acceptable performance of the model. The highest annual nitrogen dioxide concentration of 1209 parts per billion can be seen at the coordinates of 515326.80 and 3953279.17 meters inside the Lashkari highway, which is about 23 times the NAAQS standard, and the highest concentration of CO, 12.6 parts per million, can be seen at the coordinates of 515326.80 and 3953279.17 meters inside the Lashkari highway, which is about 1.4 times the NAAQS standard.
Conclusion: The exposure of people passing by on the roads to concentrations higher than the NAAQS standards of nitrogen dioxide and carbon monoxide shows the need for the government and authorities to take action in relation to highways and traffic laws.
Methods: In this study, meteorological data suitable for modeling the distribution of pollutants have been prepared from the Mehrabad meteorological station, and the modeling of the distribution of nitrogen dioxide and carbon monoxide gaseous pollutants released from automobile factories and linear sources was done by AERMOD software, and the accuracy of the results It was confirmed by field measurements of NO2 pollution by passive adsorbents.
Results: The validation results show the acceptable performance of the model. The highest annual nitrogen dioxide concentration of 1209 parts per billion can be seen at the coordinates of 515326.80 and 3953279.17 meters inside the Lashkari highway, which is about 23 times the NAAQS standard, and the highest concentration of CO, 12.6 parts per million, can be seen at the coordinates of 515326.80 and 3953279.17 meters inside the Lashkari highway, which is about 1.4 times the NAAQS standard.
Conclusion: The exposure of people passing by on the roads to concentrations higher than the NAAQS standards of nitrogen dioxide and carbon monoxide shows the need for the government and authorities to take action in relation to highways and traffic laws.
Type of Study: Research |
Subject:
Special
Received: 2022/11/10 | Accepted: 2023/01/25 | Published: 2023/07/10
Received: 2022/11/10 | Accepted: 2023/01/25 | Published: 2023/07/10
References
1. Magsi, H., 2014. Industrialization, environment and pollution. The diplomatic insight, 7, pp.24-36.
2. Faiz A. Automotive emissions in developing countries-relative implications for global warming, acidification and urban air quality. Transportation Research Part A: Policy and Practice. 2013 May 1;27(3):167-86. [DOI:10.1016/0965-8564(93)90057-R]
3. D'arcy JB, Dasch JM, Gundrum AB, Rivera JL, Johnson JH, Carlson DH, Sutherland JW. Characterization of process air emissions in automotive production plants. Journal of occupational and environmental hygiene. 2016 Jan 2;13(1):9-18. [DOI:10.1080/15459624.2015.1076161] [PMID]
4. Chang CT, Lee CH, Wu YP, Jeng FT. Assessment of the strategies for reducing volatile organic compound emissions in the automotive industry in Taiwan. Resources, conservation and recycling. 2019 Jan 1;34(2):117-28. [DOI:10.1016/S0921-3449(01)00096-9]
5. Rivera JL, Reyes-Carrillo T. A framework for environmental and energy analysis of the automobile painting process. Procedia Cirp. 2014 Jan 1;15:171-5. [DOI:10.1016/j.procir.2014.06.022]
6. Dehghani F, Golbabaei F, Abolfazl Zakerian S, Omidi F, Mansournia MA. Health risk assessment of exposure to volatile organic compounds (BTEX) in a painting unit of an automotive industry. Journal of Health and Safety at Work. 2018 Apr 10;8(1):55-64. [DOI:10.15171/hpp.2018.42] [PMID] []
7. Harati B, Shahtaheri SJ, Karimi A, Azam K, Ahmadi A, Afzali Rad M, Harati A. Risk assessment of chemical pollutants in an automobile manufacturing. Health and Safety at Work. 2017 Jun 10;7(2):121-30.
8. Xie X, Semanjski I, Gautama S, Tsiligianni E, Deligiannis N, Rajan RT, Pasveer F, Philips W. A review of urban air pollution monitoring and exposure assessment methods. ISPRS International Journal of Geo-Information. 2017 Dec 1;6(12):389. [DOI:10.3390/ijgi6120389]
9. Leelőssy, Á., Molnár, F., Izsák, F., Havasi, Á., Lagzi, I. and Mészáros, R., 2014. Dispersion modeling of air pollutants in the atmosphere: a review. Open Geosciences, 6(3), pp.257-278. [DOI:10.2478/s13533-012-0188-6]
10. Cimorelli, A.J., Perry, S.G., Venkatram, A., Weil, J.C., Paine, R.J., Wilson, R.B., Lee, R.F., Peters, W.D. and Brode, R.W., 2015. AERMOD: A dispersion model for industrial source applications. Part I: General model formulation and boundary layer characterization. Journal of applied meteorology, 44(5), pp.682-693. [DOI:10.1175/JAM2227.1]
11. Asif, Z., Chen, Z. and Han, Y., 2018. Air quality modeling for effective environmental management in the mining region. Journal of the Air & Waste Management Association, 68(9), pp.1001-1014. [DOI:10.1080/10962247.2018.1463301] [PMID]
12. Hesami Arani, M., Jaafarzadeh, N., Moslemzadeh, M., Rezvani Ghalhari, M., Bagheri Arani, S. and Mohammadzadeh, M., 2021. Dispersion of NO2 and SO2 pollutants in the rolling industry with AERMOD model: a case study to assess human health risk. Journal of Environmental Health Science and Engineering, 19(2), pp.1287-1298. [DOI:10.1007/s40201-021-00686-x] [PMID] []
13. Macêdo, M.F.M. and Ramos, A.L.D., 2020. Vehicle atmospheric pollution evaluation using AERMOD model at avenue in a Brazilian capital city. Air quality, atmosphere & health, 13(3), pp.309-320. [DOI:10.1007/s11869-020-00792-z]
14. Santos Cerqueira1, J., Albuquerque1, H.N., Assis, F., & Sousa1, S. (2019). Atmospheric pollutants: modeling with Aermod software. Air Quality, Atmosphere & Health, 12, 21-32 [DOI:10.1007/s11869-018-0626-9]
15. Khalaj F, Sattler M. 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. 2019 Jul 1;10(4):1239-49. [DOI:10.1016/j.apr.2019.02.007]
16. ul Haq, A., Nadeem, Q., Farooq, A., Irfan, N., Ahmad, M. and Ali, M.R., 2019. Assessment of AERMOD modeling system for application in complex terrain in Pakistan. Atmospheric Pollution Research, 10(5), pp.1492-1497. [DOI:10.1016/j.apr.2019.04.006]
17. Hadlocon, L.S., Zhao, L.Y., Bohrer, G., Kenny, W., Garrity, S.R., Wang, J., Wyslouzil, B. and Upadhyay, J., 2015. Modeling of particulate matter dispersion from a poultry facility. Journal of the Air & Waste Management Association, 65(2), pp.206-217. [DOI:10.1080/10962247.2014.986306] [PMID]
18. Diaz, G.P.N., Saulo, A.C. and Otero, A.D., 2021. Full wind rose wind farm simulation including wake and terrain effects for energy yield assessment. Energy, 237, p.121642 [DOI:10.1016/j.energy.2021.121642]
19. Zou, B., Zhan, F.B., Wilson, J.G. and Zeng, Y., 2020. Performance of AERMOD at different time scales. Simulation Modelling Practice and Theory, 18(5), pp.612-623. [DOI:10.1016/j.simpat.2010.01.005]
20. Feng, R., Wang, Q., Huang, C.C., Liang, J., Luo, K., Fan, J.R. and Cen, K.F., 2019. Investigation on air pollution control strategy in Hangzhou for post-G20/pre-Asian-games period (2018-2020). Atmospheric Pollution Research, 10(1), pp.197-208. [DOI:10.1016/j.apr.2018.07.006]
21. Adhikari, S., Conrad, S.C., Frenzel, W. and Held, A., 2022. Simplified procedures for evaluation of passive samplers for determination of nitrogen dioxide. Talanta Open, 5, p.100096. [DOI:10.1016/j.talo.2022.100096]
22. Dresser, A.L. and Huizer, R.D., 2011. CALPUFF and AERMOD model validation study in the near field: Martins Creek revisited. Journal of the Air & Waste Management Association, 61(6), pp.647-659 [DOI:10.3155/1047-3289.61.6.647] [PMID]
23. Salihoglu, G. and Salihoglu, N.K., 2016. A review on paint sludge from automotive industries: Generation, characteristics and managem-ent. Journal of environmental management, 169, pp .223-235. [DOI:10.1016/j.jenvman.2015.12.039] [PMID]
24. Rivera JL, Reyes-Carrillo T. A framework for environmental and energy analysis of the automobile painting process. Procedia Cirp. 2014 Jan 1;15:171-5. [DOI:10.1016/j.procir.2014.06.022]
25. Sentian, J. and Ngoh, L.B., 2004. (NO2) and particulates (PM10 and PM2. 5) levels in underground and elevated car parks in Kota Kinabalu City. WIT Transactions on Ecology and the Environment, 74.
26. Eslamidoost Z, Arabzadeh M, Oskoie V, Dehghani S, Samaei MR, Hashemi H, Baghapour MA. Dispersion of NO2 pollutant in a gas refinery with AERMOD model: A case study in the Middle East. Journal of Air Pollution and Health. 2022 Sep 4;7(3):309-22. [DOI:10.18502/japh.v7i3.10544]
27. Liu X. A more accurate method using MOVES (Motor Vehicle Emission Simulator) to estimate emission burden for regional-level analysis. Journal of the Air & Waste Management Association. 2015 Jul 3;65(7):837-43. [DOI:10.1080/10962247.2015.1025150] [PMID]
28. Kennedy, D., Bates, R.R. and Watson, A.Y. eds., 2018. Air pollution, the automobile, and public health.
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
