Investigating the Effects of Land Changes on some Pollutants in the Mahshahr Industrial Zone using Remote Sensing and Analysis of Variance (ANOVA) Images

Air pollution is known as one of the most important environmental problems in cities, especially in industrial cities, which causes various cardiovascular diseases and many deaths every year. Assessing the trend of spatial variations in the distribution of air pollution in areas with heavy industry is essential for the sustainable development of these areas. Considering the importance of Mahshahr County as the largest industrial hub of the country, the present study examines the concentrations of NO2, SO2, O3, and PM10 pollutants in different areas of Mahshahr industrial area, mapping and examining them in relation to different uses. In this study, Sentile 2 satellite images and ENVI 5.3 software and the supervised maximum probability classification method were used to classify land use. Also, using the KRIGING interpolation method and air quality monitoring station information, the concentrations of the mentioned pollutants were seasonally zoned in the region. Analysis of variance (ANOVA) was used to investigate the differences between the concentrations of pollutants in the land uses in different seasons of the year. The results of the study showed that the highest risk use was industrial use and the lowest risk use was agricultural use. Also, the lowest concentration of studied pollutants was related to the Sarbandar station. The results of ANOVA also showed that among the different seasons of 2019-2020, autumn and winter have the most significant differences. The results of this study can help identify air pollution and its relationship with land use changes, as well as control and reduce the concentration of pollutants in the study area.