Abstract
Abstract. In recent years, atmospheric models, such as GIS, are used for environmental analysis and the related management for supporting the environmental decision makers in different countries. In this study, concentrations of PM10, PM2.5 and PM1.0 are found in urban areas of Tehran in warm and cold seasons and the data applied in the related modelling, using Arc-GIS. For this purpose, samples were collected from 42 sites in an 18 km2 region located in the west and central parts of Tehran. The mean concentrations of PM1.0, PM2.5 and PM10 are found to be 13.14 μg/m3, 22.67 μg/m3 and 95.72 μg/m3 in the warm season; and 50.12 μg/m3, 70.72 μg/m3 and 193.86 μg/m3 in the cold season respectively. In this paper, with the aid of GIS, concentrations of the suspended particles were measured in 22 major hospitals, the patients in which are in contact with these pollutants. It was found the concentrations of the suspended particles were much higher in the cold season.
Highlights
Pollution can be defined as an undesirable change in the physical, chemical or biological characteristics of the air, water or land that can affect health, survival or activities of humans or other organisms (Smith, 1996; WHO, 1997; Patel and Raiyani, 1995; Anu et al, 2002; anthony et al, 2007; Minsi et al, 2007; Marilena & Elias, 2008)
This paper reports results of a study to estimate the concentration and spatial distribution of PM10, PM2.5 and PM1.0 in an 18.2 km2 region selected within the Great Tehran
The percent ratios of different particulate matters are found from figure 2 to be, 73 % (PM10), 17 % (PM2.5) and 10 % (PM1.0)
Summary
Pollution can be defined as an undesirable change in the physical, chemical or biological characteristics of the air, water or land that can affect health, survival or activities of humans or other organisms (Smith, 1996; WHO, 1997; Patel and Raiyani, 1995; Anu et al, 2002; anthony et al, 2007; Minsi et al, 2007; Marilena & Elias, 2008). With the help of GIS, concentrations of each of these pollutants were estimated to be much higher than standard values and forecasted that to go still higher The results of such a study and other air pollution case studies in different countries could help the local, but the global environmental pollution experts and decision makers to set environmental politics. This paper reports results of a study to estimate the concentration and spatial distribution of PM10, PM2.5 and PM1.0 in an 18.2 km region selected within the Great Tehran. For this purpose, the study is focused on modeling in the GIS which. With the help of this modeling, one could estimate the concentrations of PM10, PM2.5 and PM1.0 in such important areas in this region where setting a sampling station is impossible
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