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Development of Equations to Predict the Concentration of Air Pollutants Indicators in Yazd City, Iran

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Abstract

Air pollution has become a major issue in all major cities throughout the world. Predicting air pollution can help to mitigate its detrimental consequences. The purpose of this study is to develop equations using multivariate regression to predict the concentration of particulate matter smaller than 10 µm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and air quality index (AQI) in Yazd city, Iran. To this end, initially, the daily averages of air temperature, air pressure, wind speed, gust speed, precipitation, and humidity percentage of Yazd city between September 2020 and August 2021 were collected. Moreover, in the same period, the daily average concentrations of PM10, SO2, NO2, CO, and AQI of Yazd were collected. Then, by using multivariate regression, the relationships between meteorological parameters and air pollutants were investigated. Based on the results, seven different equations were developed to predict the concentrations of different air pollutants in different meteorological conditions. In addition, the results showed that the developed equations worked accurately in predicting the concentrations of O3, PM10, and NO2, but not very accurately in predicting the AQI, SO2, and CO concentrations. More specifically, the most accurate equations belonged to PM10 and NO2, which could predict the concentrations of these pollutants in the atmosphere of Yazd city with only 1% and 4% error, respectively. These equations provided a simple way to predict the concentration of important pollutants and AQI in Yazd city.

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Acknowledgements

The authors gratefully acknowledge the Post-Doctoral fellow (Teaching & Learning) Scheme under the Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia (UTM).

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Authors and Affiliations

  1. Department of Nano Chemical Engineering, School of Advanced Technologies, Shiraz University, Shiraz, Iran

    Hamidreza Moradi

  2. Department of Civil Engineering, Jami Institute of Technology, Isfahan, Iran

    Amirreza Talaiekhozani

  3. Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100, Kuala Lumpur, Malaysia

    Hesam Kamyab

  4. Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, 600 077, India

    Hesam Kamyab

  5. Engineering Department, Razak Faculty of Technology & Informatics, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100, Kuala Lumpur, Malaysia

    Shreeshivadasan Chelliapan

  6. Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, 173 234, India

    Ashok Kumar Nadda

Authors
  1. Hamidreza Moradi
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  2. Amirreza Talaiekhozani
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  3. Hesam Kamyab
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  4. Shreeshivadasan Chelliapan
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Contributions

Conceptualization: HM, AT; methodology: HM, HK, AT; investigation: HM, AT, SC; formal analysis AT, HK and AKN; writing: HM, AT, HK; and; supervision: AT, and SC.

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Correspondence to Hesam Kamyab.

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Moradi, H., Talaiekhozani, A., Kamyab, H. et al. Development of Equations to Predict the Concentration of Air Pollutants Indicators in Yazd City, Iran. J Inorg Organomet Polym 34, 38–47 (2024). https://doi.org/10.1007/s10904-022-02416-8

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  • DOI: https://doi.org/10.1007/s10904-022-02416-8

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