Repository of Research and Investigative Information

Repository of Research and Investigative Information

Shahid Sadoughi University of Medical Sciences

Mortality and morbidity due to exposure to ambient particulate matter

(2018) Mortality and morbidity due to exposure to ambient particulate matter. Ecotoxicology and Environmental Safety. pp. 307-313. ISSN 0147-6513

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Abstract

The aim of this study was to investigate spatial variation and health risk of the exposure to PM2.5 (particulate matter with a diameter of 2.5 mu m or less) and PM10 (particulate matter with a diameter of 10 mu m or less) in Sabzevar, Iran. PM2.5 and PM10 were measured during three campaigns from April to November 2017, in 26 sampling points. Spatial analysis was performed using kriging and autocorrelations (Moran's index) model in Arc GIS software. Relationship between exposure to the PM2.5 and PM10 and their health impacts were investigated by AirQ 2.2.3 software. The mean concentrations (and standard deviation) of PM2.5 and PM10 over the entire study period were 32.54 (37.28) and 42.61 (47.76) mu g/m(3), respectively, which were higher than the guideline of World Health Organization. According to the spatial analysis, the maximum concentrations of PM2.5 and PM10 were around the main highway (beltway) which placed all over the south of Sabzevar. According to the Moran's index, the emission patterns for PM2.5 (Z-score = 2.53; P-value = 0.011) and PM10 (Z-score = 2.82; P-value = 0.004) were clustered. The attributable percentage (AP) of total mortality related to PM2.5 and PM10 were 3.544 (95 confidence interval (CI): 2.623-4.447) and 2.055 (95 CI: 1.379-2.721) per increasing each 10 mu g/m(3) of these pollutants, respectively. According to observed results, it is suggested that the beltway and other pollution sources, such as industries, should be placed at a greater distance from the city, to reduce PM amounts in residential areas.

Item Type: Article
Keywords: Particulate matter Spatial analysis AirQ model Emission pattern long-term exposure air-pollution lung-cancer spatial prediction risk-assessment health impact pm2.5 china model regression Environmental Sciences & Ecology Toxicology
Page Range: pp. 307-313
Journal or Publication Title: Ecotoxicology and Environmental Safety
Journal Index: WoS
Volume: 165
Identification Number: https://doi.org/10.1016/j.ecoenv.2018.09.012
ISSN: 0147-6513
Depositing User: Mr mahdi sharifi
URI: http://eprints.ssu.ac.ir/id/eprint/28963

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