According to RCO News Agency, citing the Scientific Information Center of Jihad University, the results of 10 scientific and political studies published between 1400 and 1404 (2021 to 2025), which analyzed Tehran’s air quality data in the period 1381 to 1400 (2003 to 2022), show that the air pollution trend in Tehran has not only not decreased significantly, but new dimensions such as the vertical distribution of particles, long-term changes in the concentration of pollutants, the role of ozone And it has also highlighted policy challenges.
This study, which presents a comprehensive and multidimensional picture of the air pollution situation in Tehran, shows that the air pollution in Tehran has a stable, structural nature and in some areas is more complex than in the past.
Suspended particles; The main focus of the air quality situation
According to the results of the studies, suspended particles PM2.5 and PM10 still have the largest contribution to the reduction of Tehran’s air quality. Time-spatial analyzes related to the period from 1397 to 1400 (2019 to 2022 AD) using statistical methods and models Coppola It shows that the distribution patterns of these particles in different parts of the city have changed significantly; An issue that is especially important in the design of air pollution control policies.
review 20 Data year and health effects
In another part of the research, the long-term trend of the concentration of suspended particles during the years 1381 to 1400 (2003 to 2022 AD) has been analyzed using the Mann-Kendall test. Findings show that long-term exposure to high amounts of these pollutants can exacerbate public health consequences, including an increase in heart and respiratory diseases. These studies emphasize that health-oriented evaluations should be given more attention in the design of pollution reduction policies.
Vertical dimensions of pollution and the role of secondary pollutants
One of the new findings is the measurement of the vertical distribution of suspended particles in different urban heights. These data, which were produced with the help of low-cost sensors, show that the patterns of accumulation and transport of particles in different layers of the urban atmosphere are not the same, and changes in altitude can affect the intensity of pollution experienced by residents. Also checking the status of pollutants such as ozone It shows that this secondary pollutant has an increasing role in increasing the number of days with unfavorable air quality and should be taken into consideration in monitoring and policy making.
Air pollution modeling and forecasting
Recent studies have comparatively evaluated the performance of machine learning models, especially LSTM, with traditional methods in daily air pollution forecasting. The results show that the data-based models are more capable of representing the rapid changes of pollutants. In addition, the use of the Markov chain model to analyze the continuity of the pollution situation has provided a new capacity to investigate air pollution cycles at the provincial scale.
Policy analysis and evaluation of the Clean Air Act
According to the review of policy documents and reports published in 1401 and 1402, the implementation of the Clean Air Law has faced challenges in some sectors. Analyzes show that for the greater effectiveness of policies, it is necessary to systematically identify factors affecting pollution through methods such as Interpretive Structural Modeling (ISM).
Researches emphasize that policy steps should be followed along with continuous monitoring, improvement of monitoring infrastructure and updating of control tools.
The collection of materials published in the last five years shows that Tehran’s air pollution needs a consolidated and long-term view. The findings state that the combination of advanced forecasting models, health-oriented analyses, vertical measurement of pollutants and revision of executive policies can provide decision makers with a more realistic path to manage the air pollution crisis.
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