الفهرس 
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Abstract
The problem of air pollution coincided with the beginning of humanity’s burning of fuels. Air pollutant is any substance emitted into the air from anthropogenic, biogenic, or geogenic or origins that either deviates from the natural atmosphere or exists in higher concentrations than the natural state. The aim of our research is to study the effect of some power satiations un Kwiat on the air quality around and beyond the station. Also apply model to decrease this effect by dispersion of these pollutants. The research employing the Gaussian plume model to estimate pollutant concentrations from six electric power stations in Kuwait has provided valuable insights into the air quality variations between areas near and away from the source stations. The model, considering factors such as wind speed, atmospheric stability, and emission rates, facilitated the calculation of standard deviations for horizontal (𝜎𝑦 = 84.26 m) and vertical (𝜎𝑧 = 16.85 m) dispersion, enabling the estimation of ground-level concentrations at receptor locations. The concentrations of pollutants, specifically benzene and nitrogen oxides, demonstrated temporal variations, with notable fluctuations observed from January to April 2020. For instance, benzene emissions increased from 0.8152 units to 1.3667 units, while nitrogen oxide emissions decreased from 10.3835 units to 7.1253 units during the same period. The spatial analysis of air quality revealed distinct patterns in different areas. For the Kabd area, located away from the station source, the graph displayed a decreasing order of concentrations, with particulate matter of size less than 10 micrometers (PM10) contributing the highest percentage (68%) of pollution, followed by ozone at 30%. In the Al-Mansouriya area, also away from the source, carbon dioxide emerged as the primary contributor (90%) to pollution, with PM10 being the second major contributor. This pattern was attributed to the widespread plume and variations in wind speed and direction. In Sulaibikhat, PM10 and nitric oxide were major contributors, while in Subiyah, PM10 and ozone dominated. Across all stations, PM10 consistently emerged as the dominant pollutant, emphasizing its significant contribution to air pollution in the region. The findings underscore the importance of understanding local meteorological conditions, emission rates, and dispersion patterns in assessing air quality. The variation in pollutant concentrations highlights the need for targeted mitigation strategies to address specific pollutants in different areas. The detailed analysis of pollutant concentrations in different areas provides a foundation for developing effective policies and interventions to improve overall air quality and mitigate the impact of pollution on human health and the environment.