Evaluation of Air Pollution Trend Using GIS and RS Applications in South West of Iran
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RESEARCH ARTICLE
Evaluation of Air Pollution Trend Using GIS and RS Applications in South West of Iran Mostafa Moradi Dashtpagerdi & Seyed Javad Sadatinejad & Rafat Zare Bidaki & Ehsan Khorsandi
Received: 16 September 2012 / Accepted: 22 April 2013 # Indian Society of Remote Sensing 2013
Abstract In this paper, remote sensing and GIS have been used to assess the status of NO2 at the south west of Iran. 221 data about concentration of NO2 was extracted from Ozone Monitoring Instrument. Ordinary kriging and inverse distance weighting interpolation methods was used to interpolate data. Results showed that ordinary kriging method using cross-validation have had less error. North east of the study area has the highest concentration of NO2 (329 molecule/cm2) and the concentration of NO2 decreases from north east to South west of the study area. On the other hand, data trend results showed that the data seems to exhibit a fairly strong trend in the east west direction and a weaker one in the north–south direction. Keywords No2 . Ordinary kriging . Trend . AURA satellite . South west of Iran M. Moradi Dashtpagerdi (*) Karoon Watershed Management Office (KWMO), Shahrekord Natural Resources Organization, Shahrekord, Iran e-mail: [email protected] S. J. Sadatinejad Faculty of Natural Resources, Tehran University, Tehran, Iran R. Zare Bidaki Faculty of Natural Resources, Shahrekord University, Shahrekord, Iran E. Khorsandi Faculty of Science, Hormozgan University, Bandar Abbas, Iran
Introduction Air pollution is a matter of concern at all levels throughout the world. The worldwide epidemiological study on the effect of air pollution had revealed that gaseous pollutants and particulate matter had enough potential to cause severe health effect like respiratory, cardiovascular diseases and cardio pulmonary mortality (Moradi Dastpagerdi, Moradi 2013). Air pollution reported by World Health Organization as one of ten major human illness and hurts causes (Wang 2008). Many studies have shown association between cardiopulmonary mortality and long-term exposure to traffic-related air pollution (Jiang et al. 2007). So the measurement of pollutant concentrations is important to determine zones where a high enough concentration may affect human, animal and vegetation health (Moradi Dashtpagerdi and Ghonchepour 2012). Using computational tools is an alternative to predict risks. By this way, these tools can create new possibilities for the control of air quality. In this context, the Geographic Information Systems (GIS) and Remote Sensing (RS) are emerging as robust tool, helping to organize and to have a better understanding about the results, because they have methods/objects to view, manipulate, synthesize and edit the georeferenced data (Banja et al. 2010). A GIS is a powerful computer mapping and analysis tool, which permits spatial linking of different types of data (Prabaharan et al. 2011). One of the important spatial analyses for this application in GIS environment is surface simulation
J Indian Soc Remote Sens Fig. 1 Lo
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