Analysis of temperature inversion in Ahwaz city

Dolatshahi, Zeynab; Akbary, Mehry; Alijani, Bohloul; Nejad, Meysam Toulabi

doi:10.1007/s12517-022-11022-4

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…Eq. ( 1) is a mathematical expression to calculate the potential temperature (θ) in degrees Kelvin using temperature (T) in Kelvin and air pressure (P) in hectopascals (Dolatshahi et al 2022).…”

Section: Methodsmentioning

confidence: 99%

The relationship between atmosphere temperature inversion and urban air pollution characteristics: A case for study Tehran, Iran

Nejad,

Ghalehteimouri,

Dolatshahi

2023

Preprint

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This research aims to comprehensively assess the level of air pollution in Tehran, identify the primary sources of pollution, and explore potential solutions to mitigate this problem. To achieve this understanding, data was collected from Mehrabad station in Tehran city. In order to analyze the data and determine the dynamic and thermodynamic properties of the atmosphere, the research utilized the Universal radio sound Observation (RAOB) program. This program enabled the examination of the atmospheric properties up to an altitude of 750 meter during the selected days. Specifically, the research focused on three dates: January 22, 2014; January 25, 2015; and November 27, 2016. These dates were chosen as they represented the most polluted days, considering Tehran's seasonal variations and the adverse effects of cold weather and temperature drops on air pollution. The analysis of the collected data was performed using an equation that demonstrates the characteristics of the air temperature inversion profile. To assess the effects of atmospheric inversion on air pollution, the Heffter method was employed in this research. This method aimed to provide insights into how inversions impact air quality in Tehran. The results obtained from the analysis highlighted specific conditions on January 25, 2015, which was identified as the most polluted date. During the radiation inversion, the altitude above sea level measured 1227 meters, with an altitude above ground level of 36 meters. The potential temperature was recorded as 890 meter, relative humidity as 0%, and temperature as 2°C at pressure base (P1). At base altitude H1, the potential temperature at 886 meter, relative humidity was 36%, and temperature was 3°C. Additionally, the wind speed was measured at 2.1 m/s, wind direction at 280 degrees, and the inversion depth was calculated to be 18 meters.

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Section: Methodsmentioning

confidence: 99%

The relationship between atmosphere temperature inversion and urban air pollution characteristics: A case for study Tehran, Iran

Nejad,

Ghalehteimouri,

Dolatshahi

2023

Preprint

Self Cite

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The relationship between atmospheric temperature inversion and urban air pollution characteristics: a case study of Tehran, Iran

Nejad,

Ghalehteimouri,

Talkhabi

et al. 2023

Discov Environ

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This study conducts a comprehensive evaluation of air pollution in Tehran, focusing on its origins and potential remedial measures. Data from the Mehrabad station in Tehran were meticulously analyzed to scrutinize the spatiotemporal dynamics over a three-year period. Leveraging the Universal Radio Sound Observation (RAOB) program, we probed atmospheric attributes up to 750 m on specific critical dates: January 22, 2014; January 25, 2015; and November 27, 2016, which represent peak pollution events. Employing mathematical models, we scrutinized air temperature inversion profiles and applied the Heffter method to gauge the impact of atmospheric inversions on Tehran's air quality. Our investigation unequivocally identified January 25, 2015, as the most polluted date, unveiling precise atmospheric conditions during a radiation inversion, encompassing altitudes, temperatures, humidity, wind speed, and inversion depth. This research significantly advances our comprehension of the intricate interplay between atmospheric inversions and air pollution. It provides critical insights that can inform the development of targeted strategies to mitigate air quality issues not only in Tehran but also in analogous urban settings worldwide.

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Deep causal inference for understanding the impact of meteorological variations on traffic

Li,

Liu,

Yang

2024

Transportation Research Part C: Emerging Technologies

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Analysis of temperature inversion in Ahwaz city

Cited by 3 publications

References 32 publications

The relationship between atmosphere temperature inversion and urban air pollution characteristics: A case for study Tehran, Iran

The relationship between atmosphere temperature inversion and urban air pollution characteristics: A case for study Tehran, Iran

The relationship between atmospheric temperature inversion and urban air pollution characteristics: a case study of Tehran, Iran

Deep causal inference for understanding the impact of meteorological variations on traffic

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