Work

Forecasting air quality index (AQI) and air quality health index (AQHI) by time series models in Ahvaz, Iran

Year: 2024

Type: article

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 NOx ) per hour were obtained for March 2021 to March 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.

Source: Environmental Health Engineering and Management

DOI: 10.34172/ehem.2024.46

Authors: Amir Zahedi, Neamatollah Jaafarzadeh, Iman Mirr, Yaser Tahmasebi

Institutions: Ahvaz Jundishapur University of Medical Sciences, Isfahan University of Medical Sciences

Language: English

Topic: Air Quality Monitoring and Forecasting

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Good health and well-being, Sustainable cities and communities

Open Access status: diamond

Funder: Ahvaz Jundishapur University of Medical Sciences