Air quality classification and its temporal trend in Tehran, Iran, 2002-2012
Airborne particulate matter with a diameter of 2.5 microns or less (PM<sub>2.5</sub>), as well as slightly bigger particles (PM<sub>10</sub>), arrive from the westerly direction and collect in the city centre of Tehran, the capital of Iran. The statistical characteristics and...
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doaj-bb566c7ed0e648b8ab88da96bbaf5ef52020-11-25T03:18:13ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962016-05-0111210.4081/gh.2016.442374Air quality classification and its temporal trend in Tehran, Iran, 2002-2012Raheleh Saniei0Ali Zangiabadi1Mohammad Sharifikia2Yousef Ghavidel3Department of Urban Planning, Faculty of Geography and Planning, University of IsfahanDepartment of Urban Planning, Faculty of Geography and Planning, University of IsfahanDepartment of Remote Sensing, Tarbiat Modares University, TehranDepartment of Physical Geography, Tarbiat Modares University, TehranAirborne particulate matter with a diameter of 2.5 microns or less (PM<sub>2.5</sub>), as well as slightly bigger particles (PM<sub>10</sub>), arrive from the westerly direction and collect in the city centre of Tehran, the capital of Iran. The statistical characteristics and daily trend of the air quality index (AQI) in Theran were studied over an 11-year period (2002- 2012). Various statistical analyses were applied including descriptive statistics, correlation analysis, trend analysis and the sequential nonparametric Mann-Kendall test. The significance of the series was investigated by regression analysis and Kriging interpolation. It was found that Tehran’s daily AQI increased by 11.8% over the study period, with the frequency distribution of days with good and average air quality showing a strongly declining trend. The AQI of Tehran was shown to contain a large part of PM<sub>10</sub> and PM<sub>2.5</sub>, the latter having the largest contribution (coefficient=0.853).http://www.geospatialhealth.net/index.php/gh/article/view/442AQIAir pollutionPM10PM2.5Time series analysis. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Raheleh Saniei Ali Zangiabadi Mohammad Sharifikia Yousef Ghavidel |
spellingShingle |
Raheleh Saniei Ali Zangiabadi Mohammad Sharifikia Yousef Ghavidel Air quality classification and its temporal trend in Tehran, Iran, 2002-2012 Geospatial Health AQI Air pollution PM10 PM2.5 Time series analysis. |
author_facet |
Raheleh Saniei Ali Zangiabadi Mohammad Sharifikia Yousef Ghavidel |
author_sort |
Raheleh Saniei |
title |
Air quality classification and its temporal trend in Tehran, Iran, 2002-2012 |
title_short |
Air quality classification and its temporal trend in Tehran, Iran, 2002-2012 |
title_full |
Air quality classification and its temporal trend in Tehran, Iran, 2002-2012 |
title_fullStr |
Air quality classification and its temporal trend in Tehran, Iran, 2002-2012 |
title_full_unstemmed |
Air quality classification and its temporal trend in Tehran, Iran, 2002-2012 |
title_sort |
air quality classification and its temporal trend in tehran, iran, 2002-2012 |
publisher |
PAGEPress Publications |
series |
Geospatial Health |
issn |
1827-1987 1970-7096 |
publishDate |
2016-05-01 |
description |
Airborne particulate matter with a diameter of 2.5 microns or less (PM<sub>2.5</sub>), as well as slightly bigger particles (PM<sub>10</sub>), arrive from the westerly direction and collect in the city centre of Tehran, the capital of Iran. The statistical characteristics and daily trend of the air quality index (AQI) in Theran were studied over an 11-year period (2002- 2012). Various statistical analyses were applied including descriptive statistics, correlation analysis, trend analysis and the sequential nonparametric Mann-Kendall test. The significance of the series was investigated by regression analysis and Kriging interpolation. It was found that Tehran’s daily AQI increased by 11.8% over the study period, with the frequency distribution of days with good and average air quality showing a strongly declining trend. The AQI of Tehran was shown to contain a large part of PM<sub>10</sub> and PM<sub>2.5</sub>, the latter having the largest contribution (coefficient=0.853). |
topic |
AQI Air pollution PM10 PM2.5 Time series analysis. |
url |
http://www.geospatialhealth.net/index.php/gh/article/view/442 |
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