Spatial modelling of PM2.5 concentrations in Tehran using Kriging and inverse distance weighting (IDW) methods
Introduction: Estimating air pollution levels in areas with no measurements is a major concern in health-related studies. Therefore, the aim of this study was to investigate the amount of exposure to particulate matter below 2.5 μ (PM2.5) in the metropolis of Tehran. Materials and methods: The hourl...
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| Format: | Article |
| Language: | English |
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Tehran University of Medical Sciences
2020-06-01
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| Series: | Journal of Air Pollution and Health |
| Subjects: | |
| Online Access: | https://japh.tums.ac.ir/index.php/japh/article/view/244 |
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| author | Kazhal Masroor Farzad Fanaei Somayeh Yousefi Mohammad Raeesi Hossein Abbaslou Abbas Shahsavani Mostafa Hadei |
| author_facet | Kazhal Masroor Farzad Fanaei Somayeh Yousefi Mohammad Raeesi Hossein Abbaslou Abbas Shahsavani Mostafa Hadei |
| author_sort | Kazhal Masroor |
| collection | DOAJ |
| description | Introduction: Estimating air pollution levels in areas with no measurements is a major concern in health-related studies. Therefore, the aim of this study was to investigate the amount of exposure to particulate matter below 2.5 μ (PM2.5) in the metropolis of Tehran.
Materials and methods: The hourly concentrations of PM2.5 during 2017-2018 period were acquired from the Department of Environment (DOE) and Air Quality Control Company of Tehran (AQCC). The hourly concentrations were validated and 24-h concentrations were calculated. Inverse distance weighting (IDW), Universal Kriging, and Ordinary Kriging were used to spatially model the PM2.5 over Tehran metropolis area. Root Mean Square Error (RMSE) and Mean Error (ME) were used to measure and control for the accuracy of the methods.
Results: The results of this study showed that RMSE and MENA values in Kriging method was less than the IDW, which indicates that the Kriging was the best method to estimate PM2.5 concentrations. According to the final map, the highest annual concentrations of PM2.5 were observed in the southern and southwestern areas of Tehran (districts 10, 15, 16, 17, and 18). The lowest exposure to PM2.5 was found to be in districts 1, 2, 3, 6, and 8.
Conclusion: It can be concluded that Kriging method can predict spatial variations of PM2.5 more accurately than IDW method. |
| first_indexed | 2024-12-11T17:07:12Z |
| format | Article |
| id | doaj.art-3196f238399a458cb870bb7c7f0ca5ef |
| institution | Directory Open Access Journal |
| issn | 2476-3071 |
| language | English |
| last_indexed | 2024-12-11T17:07:12Z |
| publishDate | 2020-06-01 |
| publisher | Tehran University of Medical Sciences |
| record_format | Article |
| series | Journal of Air Pollution and Health |
| spelling | doaj.art-3196f238399a458cb870bb7c7f0ca5ef2022-12-22T00:57:39ZengTehran University of Medical SciencesJournal of Air Pollution and Health2476-30712020-06-015210.18502/japh.v5i2.4237Spatial modelling of PM2.5 concentrations in Tehran using Kriging and inverse distance weighting (IDW) methodsKazhal Masroor0Farzad Fanaei1Somayeh Yousefi2Mohammad Raeesi3Hossein Abbaslou4Abbas Shahsavani5Mostafa Hadei6Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, IranDepartment of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, IranDepartment of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, IranDepartment of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, IranDepartment of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, IranEnvironmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran AND Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, IranDepartment of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, IranIntroduction: Estimating air pollution levels in areas with no measurements is a major concern in health-related studies. Therefore, the aim of this study was to investigate the amount of exposure to particulate matter below 2.5 μ (PM2.5) in the metropolis of Tehran. Materials and methods: The hourly concentrations of PM2.5 during 2017-2018 period were acquired from the Department of Environment (DOE) and Air Quality Control Company of Tehran (AQCC). The hourly concentrations were validated and 24-h concentrations were calculated. Inverse distance weighting (IDW), Universal Kriging, and Ordinary Kriging were used to spatially model the PM2.5 over Tehran metropolis area. Root Mean Square Error (RMSE) and Mean Error (ME) were used to measure and control for the accuracy of the methods. Results: The results of this study showed that RMSE and MENA values in Kriging method was less than the IDW, which indicates that the Kriging was the best method to estimate PM2.5 concentrations. According to the final map, the highest annual concentrations of PM2.5 were observed in the southern and southwestern areas of Tehran (districts 10, 15, 16, 17, and 18). The lowest exposure to PM2.5 was found to be in districts 1, 2, 3, 6, and 8. Conclusion: It can be concluded that Kriging method can predict spatial variations of PM2.5 more accurately than IDW method.https://japh.tums.ac.ir/index.php/japh/article/view/244Exposure; Interpolation; Particulate matter; Ambient air pollution; Geographic information system (GIS) |
| spellingShingle | Kazhal Masroor Farzad Fanaei Somayeh Yousefi Mohammad Raeesi Hossein Abbaslou Abbas Shahsavani Mostafa Hadei Spatial modelling of PM2.5 concentrations in Tehran using Kriging and inverse distance weighting (IDW) methods Journal of Air Pollution and Health Exposure; Interpolation; Particulate matter; Ambient air pollution; Geographic information system (GIS) |
| title | Spatial modelling of PM2.5 concentrations in Tehran using Kriging and inverse distance weighting (IDW) methods |
| title_full | Spatial modelling of PM2.5 concentrations in Tehran using Kriging and inverse distance weighting (IDW) methods |
| title_fullStr | Spatial modelling of PM2.5 concentrations in Tehran using Kriging and inverse distance weighting (IDW) methods |
| title_full_unstemmed | Spatial modelling of PM2.5 concentrations in Tehran using Kriging and inverse distance weighting (IDW) methods |
| title_short | Spatial modelling of PM2.5 concentrations in Tehran using Kriging and inverse distance weighting (IDW) methods |
| title_sort | spatial modelling of pm2 5 concentrations in tehran using kriging and inverse distance weighting idw methods |
| topic | Exposure; Interpolation; Particulate matter; Ambient air pollution; Geographic information system (GIS) |
| url | https://japh.tums.ac.ir/index.php/japh/article/view/244 |
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