Modeling and Spatio -Temporal Analysis of the Distribution of Particulate Matter in Tehran City Based on Spatial Analysis in GIS Enviroment
Subject Areas :
GIS
samira zakeri KIA
1
,
Hossein Aghamohammadi
2
,
saeid behzadi
3
,
zahra azizi
4
1 - M.Sc, Remote Sensing and Geographic Information System, Faculty of Natural Resources and Environment, Islamic Azad University, Science and Research, Tehran.
2 - - Assistant Professor, Faculty of Natural Resources and Enviroment, Islamic Azad University, Science and Research, Tehran *(Corresponding Authours).
3 - Assistant Professor, Faculty of Civil, Shahid Rajaee Teacher Training University, Tehran.
4 - Assistant Professor, Faculty of Natural Resources and Enviroment, Islamic Azad University, Science and Research, Tehran
Received: 2017-08-30
Accepted : 2019-12-17
Published : 2020-01-21
Keywords:
Spatial Analysis,
PM10,
PM 2.5,
distribution,
Abstract :
Introduction and objective:Recently, pollutant particles, in particular suspended particles with a diameter of less than 2.5 microns, have been the most common pollutant in Tehran. One of the most important processes to solve the problem of suspended particles is to obtain appropriate information on the distribution of these pollutants at different time periods. The goal of this study is to propose a spatial approach for modeling and analyzing the spatial and temporal distribution of suspended particles based on GIS analyzes.Materials and Methods:At first step, PM 2.5 and PM 10 pollutants was collected from Tehran Air Quality Control Company. Then, the accuracy of different interpolation methods was evaluated. Finally, the IDW method was selected as the best interpolation method for plotting the concentration of these pollutants in TehranResult: Daily, Monthly average and annual average concentrations map were prepared according to the daily data of these pollutants in the years 93 and 94. As a result, spatial and temporal analysis of distribution of PM 2.5 and PM 10 contaminants in Tehran was madeDiscussion and conculation: According to the performed study, it can be said that the highest concentration of PM10 pollutants is found in the southwest of the city and the highest concentration of PM 2.5 pollutants is found in Shahr-e-Ray and central part of the city.
References:
Tehran Air Quality Control Company, “Tehran Air Quality Report in 2015”, 2016. (In Persian)
Gholizadeh, M. H., Farajzadeh, M., Daran, M., "Relationship between Air Pollution and Mortality in Tehran City Population", Hakim Research Journal, 2009, Vol.12, No. 2. (In Persian)
Keshavarzi Shirazi, H., Farah Sadat H., Mirmohammadi, M., "Investigation and Measurement of VOCs in Indoor and Public Places", Environmental Studies, 2005, Vol.29, No.32. (In Persian)
Bahari, R. A., Abaspour, R. A., Pahlavani, P., Zoning of Particulate Matters (PM) Pollution Using Local Statistical Models in GIS (Case Study: Tehran Metropolisies), Journal of Geomatics Science And Technology (JGST), 2016, Vol.5, No. 3, pp.165-174. (In Persian)
Adams, M.D. Kanaroglou, P.S., 2016. Mapping real-time air pollution health risk for environmental management: Combining mobile and stationary air pollution monitoring with neural network models. Journal of Environmental Managemen, Vol.168, pp.133-141.
Liu, Z., Xie, M., Tian, K., Gao, P., 2017. GIS-based analysis of population exposure to PM2.5 air pollution—a case study of Beijing. Journal of Enviromental Sciences, Vol.59, pp. 48-53.
Tasdemir, U., Cindoruk, S., Esen, F., 2005. Monitoring of criteria air pollutants in bursa, turkey, Environmental Monitoring and Assessment, Vol. 110, pp. 227-241.
Nuvolone, D. And [et al], 2011. Geographical information system and environmental epidemiology: a cross-sectional spatial analysis of the effects of traffic-related air pollution on population respiratory health. Environmental Health, Vol.10, pp. 12-23.
Lindstrom, J. And [et al], 2013. A flexible spatio-temporal model for air pollution with spatial and spatio-temporal covariates. Environmental and Ecological Statistics, Vol.21 (3), pp. 411-433.
Stroh, E., 2010. The use of GIS in assessing exposure to airborne pollutants, Sweden: Lund University, Department of medicine.
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Tehran Air Quality Control Company, “Tehran Air Quality Report in 2015”, 2016. (In Persian)
Gholizadeh, M. H., Farajzadeh, M., Daran, M., "Relationship between Air Pollution and Mortality in Tehran City Population", Hakim Research Journal, 2009, Vol.12, No. 2. (In Persian)
Keshavarzi Shirazi, H., Farah Sadat H., Mirmohammadi, M., "Investigation and Measurement of VOCs in Indoor and Public Places", Environmental Studies, 2005, Vol.29, No.32. (In Persian)
Bahari, R. A., Abaspour, R. A., Pahlavani, P., Zoning of Particulate Matters (PM) Pollution Using Local Statistical Models in GIS (Case Study: Tehran Metropolisies), Journal of Geomatics Science And Technology (JGST), 2016, Vol.5, No. 3, pp.165-174. (In Persian)
Adams, M.D. Kanaroglou, P.S., 2016. Mapping real-time air pollution health risk for environmental management: Combining mobile and stationary air pollution monitoring with neural network models. Journal of Environmental Managemen, Vol.168, pp.133-141.
Liu, Z., Xie, M., Tian, K., Gao, P., 2017. GIS-based analysis of population exposure to PM2.5 air pollution—a case study of Beijing. Journal of Enviromental Sciences, Vol.59, pp. 48-53.
Tasdemir, U., Cindoruk, S., Esen, F., 2005. Monitoring of criteria air pollutants in bursa, turkey, Environmental Monitoring and Assessment, Vol. 110, pp. 227-241.
Nuvolone, D. And [et al], 2011. Geographical information system and environmental epidemiology: a cross-sectional spatial analysis of the effects of traffic-related air pollution on population respiratory health. Environmental Health, Vol.10, pp. 12-23.
Lindstrom, J. And [et al], 2013. A flexible spatio-temporal model for air pollution with spatial and spatio-temporal covariates. Environmental and Ecological Statistics, Vol.21 (3), pp. 411-433.
Stroh, E., 2010. The use of GIS in assessing exposure to airborne pollutants, Sweden: Lund University, Department of medicine.