Document Type : Original Article
Authors
1 Natural Resources Engineering- Enviromental Pollution, Faculty of Agriculture, Kheradgarayan Motahar Institute of Higher Education, Mashhad, Iran
2 Department of Environment, Faculty of Agriculture, Kheradgarayan Motahar Institute of Higher Education, Mashhad, Iran
3 Department of Geology, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran
4 Department of Environmental Science and Engineering, Islamic Azad University, West Tehran Branch, Tehran, Iran
Abstract
The aim of this study was to determine the air quality index (AQI) and to investigate its relationship with meteorological parameters in Mashhad for 2014. In this study, moment concentrations of air pollutants in Mashhad for 2014 were prepared and the amount of AQI was calculated and air quality was determined. Then, data analysis was performed using Kruskal-Wallis and Mann-Whitney tests at a significant level of 5% in SPSSV.23 software. Finally, data related to meteorological parameters were prepared during 2014 and ARIMA time series model and R software (3.3.0) were used to investigate its relationship with air index pollutants in non-delayed and one day late modes. The results showed that air quality of Mashhad was in a very bad condition in terms of maintaining the health of community members, especially sensitive groups, as the concentration of pollutants in this city was higher than Iranian standard (100) in 245 days of the study period. The PM2.5 was the most important pollutant during the study. It was also found that among the climatic parameters, temperature and pressure have the greatest direct effect on the concentration of air pollutants. Moreover, results showed the immediate effect of temperature on the concentration of air pollutants, although other atmospheric elements are able to significantly affect the outcome over time and with a time delay (one day in this study). The results indicated that quality of model computation depends on changes in atmospheric parameters, so that a quantitative measurement for each pollutant can be achieved based on meteorological data.
Keywords
- Air pollution
- Air quality health index
- Air quality index
- Criteria pollutants
- Meteorological parameters
Main Subjects
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