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Forecasting Air Quality Index (Aqi) and Air Quality Health Index (Aqhi) by Time Series Models in Ahvaz, Iran Publisher



Zahedi A1 ; Jaafarzadeh N2 ; Mirr I3 ; Tahmasebi Y2
Authors
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Authors Affiliations
  1. 1. Air Pollution and Respiratory Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
  2. 2. Environmental Technologies Research Center, Basic Medical Sciences Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
  3. 3. Department of Biostatistics and Epidemiology, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Environmental Health Engineering and Management Published:2024


Abstract

Background: Air pollution indexes are used to indicate the level, quantity, and quality of air pollution. The air quality index (AQI) and air quality health index (AQHI) have been developed to report their association with human health. Methods: Air quality variables (PM2.5, O3,and NO) per hour were obtained for March 2021 to March x 2022 from three central pollution control centers in Ahvaz, the capital city of Khuzestan province, southwest of Iran. R3-3-4, Minitab-17, and SPSS-19 software were used to analyze the obtained data. Results: In this study, AQHI and AQI were predicted with actual data, forecasting the air quality with two confidence interval percentages of 95 and 80 illustrated for future days. Also, the relationship between AQI and AQHI was determined; hence, this relationship is important for some cities for which the AQHI index is not measurable. AQHI can be determined for each place using AQI values and the obtained relationship. Conclusion: The result indicated that we could also forecast the AQI and AQHI for future days and obtain a new equation for AQHI due to AQI values. © 2024 The Author(s).
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