:: Volume 4, Issue 4 (9-2017) ::
jehe 2017, 4(4): 269-278 Back to browse issues page
A Survey of Air Quality Index and Quantification of Cardiovascular Mortality due to Exposure to Particulate Matter Smaller than 2.5 Micron in Boukan in 2015
Majid Kermani , Khaled Azarshab * , Mohsen Dowlati , Ghaderpoori Mansour
M.S. Student of Environmental Engineering, School of Electrical, Computer and Environmental Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran
Abstract:   (3694 Views)
Background: The influx of dust to the North West of Iran during past decade has become a serious threat to the health and economy of the region and has created many human and financial damages. So, the aim of this study is to quantifying cardiovascular mortality resulted from exposure to Particulate matter smaller than 2.5 micron in Bokan in 2015 using Air Q software.
Methods: This descriptive-analytic study was carried out in Bokan. The measurement of PM2.5 Concentration was done using MP101M Device around the clock in 2015, which yielded data collected for 321 days. Meteorological data, including wind speed and direction, and relative humidity were obtained from office of Meteorology. The software, using data processed with Excel, calculated Relative Risk, baseline incidence and attributable proportion and showed the output in terms of mortality.
Results: Based on the statistics of air pollution monitoring station, maximum hourly PM2.5 concentration was 400.52 micrograms per cubic meter and the number of total mortality attributed to exposure to PM2.5 in 2015 was 50 cases.
Conclusion: The number of total mortality attributed to exposure to PM2.5 resulted from the influx of dust, necessitates immediate action to solve the dust problem, as well as dissemination of all facilities and information through public media in order to educate people about how to deal with this dangerous phenomenon.
Keywords: Dust, Bokan, Mortality, PM2.5, AirQ model
Full-Text [PDF 658 kb]   (1484 Downloads)    
Type of Study: Research | Subject: Special
Received: 2017/11/11 | Accepted: 2017/11/11 | Published: 2017/11/11



XML   Persian Abstract   Print



Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 4, Issue 4 (9-2017) Back to browse issues page