Remote sensing and Gis
Rahim Heydari; Naseh Valizadeh
Abstract
The purpose of the current research is to investigate the air quality index and its relationship with changes in the green space of Tabriz metropolis. Data, air pollution data from 1383 to 1396 and five main air pollutants (PM10), SO2, CO, O3, NO2) have been used, which include stations (Abrsan, Health, ...
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The purpose of the current research is to investigate the air quality index and its relationship with changes in the green space of Tabriz metropolis. Data, air pollution data from 1383 to 1396 and five main air pollutants (PM10), SO2, CO, O3, NO2) have been used, which include stations (Abrsan, Health, Railway, Prayer Square, Baghshamal, Hakim Nizami) ) is The research method, after averaging, the data were converted into standard data in Excel software, entered into the software (GIS) and using the interpolation method (IDW), the air quality map of unhealthy days was obtained. Finally, by using the index (NDVI) of green space images of 1969-83-96 in order to relate it to the state of air quality and the trend of decreasing or increasing green space in the mentioned time period, the final map of the number of days of unhealthy air quality was prepared. According to the obtained results, the state of health index of air quality in Tabriz metropolis has a direct relationship with changes in green space. The highest volume and density of pollution in the middle and center of the city is due to the large volume of traffic in these areas and daily commuting to these areas. In the southern and southwestern parts of the city, industrial areas, due to the high concentration of pollutants, air pollution is more in cold seasons. The most pollution is related to the pollutant (PM10) which is one of the most important pollutants polluting the air of Tabriz city.
Remote sensing and Gis
Sara Beheshtifar; Amirhossein Ghourkhaneh-Chi Zirak
Abstract
Air pollution is one of the most significant challenges in today's world, particularly in developing countries. Therefore, it is necessary to monitor and control the amount of pollutants that threaten human health. In recent years, remote sensing data related to the Sentinel 5 Tropomy sensor has been ...
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Air pollution is one of the most significant challenges in today's world, particularly in developing countries. Therefore, it is necessary to monitor and control the amount of pollutants that threaten human health. In recent years, remote sensing data related to the Sentinel 5 Tropomy sensor has been considered a rich and up-to-date source of information for monitoring and investigating the temporal-spatial changes of air pollutants. In this study, the Google Earth Engine system was used to obtain Tropomi sensor products to check the amount of nitrogen dioxide pollutants in East Azerbaijan province. For this purpose, the distribution map of the NO2 was produced in four consecutive years (1397-1400). Additionally, due to the effective role of motor vehicle traffic in increasing the amount of this pollutant on the one hand and the restriction of activities and traffic of cars during the spread of the Covid-19 virus on the other hand, the changes of nitrogen dioxide in different time periods were investigated to determine the effect of restrictions on the concentration of this pollutant quantitatively. Also, in order to investigate the impact of the reopening of schools and universities after the corona pandemic, pollutant distribution maps were produced and compared for April 1400 and April 1401. The results showed that the density of NO2 in the center of the province was higher than in other cities in all time periods, and the 14-day closure in 2019 had the greatest effect in reducing the pollutant, which was about 59% in Tabriz.
