Ambient air particulate matter (PM10) satellite monitoring and respiratory health effects assessment

Mohebbichamkhorami, Mahssa and Arbabi, Mohsen and Mirzaei, Mohsen and Ahmadi, Ali and Hassanvand, Mohammad Sadegh and Rouhi, Hamid (2020) Ambient air particulate matter (PM10) satellite monitoring and respiratory health effects assessment. Journal of Environmental Health Science and Engineering. ISSN 2052-336X

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Abstract

Purpose Air particulate matter with an aerodynamic diameter of 10 mu m or less (PM10) is one of the main causes of acute exacerbation of chronic obstructive pulmonary disease (AECOPD). This study explored the relationship between PM(10)by remote sensing and AECOPD in Chaharmahal-o-Bakhtiari province from 2014 to2018. Method PM(10)concentrations were predicted and validated based on aerosol optical depth (AOD) from 161 images processed by MODIS sensor and ground air quality monitoring station data. Demographic information and spirometric indices of 2038 patients with AECOPD were collected and analyzed from the hospital during the studied periods. SPSS software was used to analyze the relationships between these two categories of information. Results There was a significant negative relationship between PM10 and FVC, FVC%, FEV1, FEV1%, FEF25-75, FEV1/FVC, PEF, and FEF25FVC indices (p < 0.05). The results showed that over 2014-2018, the annual mean of PM10 concentrations varied from 35 to 52 mu g/m3. The result of the regression model showed that the patient's age, body mass index (BMI), and PM(10)concentrations were the most affecting variables on the two important spirometric indices i.e., FVC% and FEV1%. The PM(10)concentrations and number of AECOPD patients had a similar pattern during the studied period. The women group, age group above 74 years, normal BMI, and non-smoking patients showed the most sensitivity to the PM(10)concentrations. Conclusions Our findings provide supplementary scientific information on PM(10)concentration related to the incidence of AECOPD and as a variable affecting the most important spirometry indicators by providing local decision-makers information needed to set a priority of air pollution control measures as well as health services. Keywords:PM10; Satellite Monitoring; MODIS; Acute exacerbation of chronic obstructive pulmonary diseases; Spirometric indices; Chaharmahal-o-Bakhtiari Province

Item Type: Article
Subjects: WA Public Health
Divisions: Faculty of Health > Department of Environmental Health
Depositing User: zeynab . bagheri
Date Deposited: 07 Nov 2020 10:48
Last Modified: 11 Nov 2020 04:47
URI: http://eprints.skums.ac.ir/id/eprint/8705

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