Simulation to Determine Pollution Gases of the atmosphere by Real Time Method
DOI:
https://doi.org/10.59992/IJSR.2025.v4n5p2Keywords:
environmental air pollution, air pollution, microscopic particles, Geographic Information SystemsAbstract
Air pollution refers to the release of various gases, solid particles, and dispersed liquids into the atmosphere at rates that exceed the environment's ability to disperse, absorb, or neutralize them. In this study, a simulation program was developed using MATLAB to calculate the real-time concentrations of pollutants in Baghdad city, including PM2.5, CO, SO₂, NO₂, and O₃. Air pollution levels were monitored based on real-time air quality indicators. The results showed that the air quality in Baghdad is classified as very unhealthy for most months of the year, and "unhealthy" for sensitive groups due to exposure to fine particles and dust. A key feature of this work is the ability to generate simulation data that closely matches actual data obtained from the Air Quality Map, relying on radar monitoring above the U.S. Embassy in Baghdad. The results highlight the urgent need for effective measures to reduce pollution levels and improve air quality in the city.
References
1. Levkowitz, J. (2018, May 3). Iraq wilting: How creeping drought could cause the next crisis. Middle East Institute. http://www.mei.edu/content/article/iraq-wilting-how-creeping-drought-could cause-next-crisis.
2. Hameed, M., Ahmad Ali pour, A., & Morad Khani, H. (2018). Apprehensive drought characteristics over Iraq: results of a multidecadal spatiotemporal assessment. Geosciences, 8(2), 58. http://www.mdpi.com/2076-3263/8/2/58
3. Myanmar Government (2007), 'Fog', archived from the original on January 27, 2007, Retrieved February 11, 2007.
4. "Air Quality Index - American Lung Association", American Lung Association. Archived from the original on August 28, 2015. Retrieved August 20, 2015.
5. "Air Reserve - Summer Excess from the Original", Archived from the original on June 11, 2018. Retrieved August 20, 2015.
6. Lu, R.; Zhao, X.; Li, J.; Niu, P.; Yang, B.; Wu, H.; Wang, W.; Song, H.; Huang, B.; Zhu, N.; et al. Genomic characterisation and epidemiology of 2019 novel coronavirus: Implications for virus origins and receptor binding. Lancet 2020, 395, 565–574.
7. Bates, D.; Baker-Anderson, M.; Sizto, R. Asthma attack periodicity: A study of hospital emergency visits in Vancouver. Environ. Res. 1990, 51, 51–70. [CrossRef]
8. Schwartz, J.; Dockery, D.W. 1992, Particulate Air Pollution and Daily Mortality in Steubenville, Ohio. Am. J. Epidemiology 135, 12–19.
9. UN Iraq. (2018). Conserving Iran and Iraq’s wetlands. News Story. http://www.uniraq.org/index.php?option=com_k2&view=item&id=8505:conserving-iran-and-iraq s-wetlands&Itemid=606&lang=en
10. USAID. (2017). Climate Change Risk Profile: Iraq. Fact Sheet. Washington, D.C.: USAID. https://www.climatelinks.org/sites/default/files/asset/document/2017Mar3_GEMS_Climate%20Ri sk%20Profile_Iraq_FINAL.pdf
11. Levkowitz, J. (2018, May 3). Iraq wilting: How creeping drought could cause the next crisis. Middle East Institute. http://www.mei.edu/content/article/iraq-wilting-how-creeping-drought-could cause-next-crisis
12. Levkowitz, J. (2018, May 3). Iraq wilting: How creeping drought could cause the next crisis. Middle East Institute. http://www.mei.edu/content/article/iraq-wilting-how-creeping-drought-could cause-next-crisis.
