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Human health impact assessment of exposure to particulate matter: an AirQ software modeling

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Abstract

The aim of this study was to assess the health impacts related to particulate matter less than 10 μm (PM10) exposure in the city of Yazd, Iran. For this aim, AirQ 2.2.3 software was used to model relationship between short-term exposure to PM10 and disease cases proposed by the World Health Organization (WHO). The annual mean concentration of PM10 was 97 μg/m3. The maximum concentration value of PM10 was measured during the summer (731 μg/m3). 4.988% (95%CI: 3.381–6.542%) of the total mortality, 7.3% (95%CI; 4.19–10.21%) of cardiovascular mortality, and 10.21% (95%CI; 4.19–14.89%) of respiratory mortality were related to the PM10 concentrations. Consequently, the AirQ software can provide valuable information about the importance of air pollution and the substantial impacts of PM10 on the society for policymakers.

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Acknowledgments

The authors of this paper express their thanks for Shahid Sadoghi University of Medical Science for supporting and for Yazd Department of Environment for providing the air pollution data.

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Authors and Affiliations

  1. Department of Environmental Health, School of Public Health, Sabzevar University of Medical Sciences, Sabzevar, Iran

    Mohammad Miri

  2. Department of Environmental Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

    Mohammad Miri, Mohammad Hassan Ehrampoush, Amir Mohammadi, Ali Toolabi, Ali Nikonahad, Zahra Derakhshan & Ali Abdollahnejad

  3. Department of Environmental Health, School of Public Health, Semnan University of Medical Sciences, Semnan, Iran

    Hamideh Ebrahimi Aval

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  1. Mohammad Miri
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  2. Hamideh Ebrahimi Aval
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  3. Mohammad Hassan Ehrampoush
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Correspondence to Mohammad Miri.

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Miri, M., Ebrahimi Aval, H., Ehrampoush, M.H. et al. Human health impact assessment of exposure to particulate matter: an AirQ software modeling. Environ Sci Pollut Res 24, 16513–16519 (2017). https://doi.org/10.1007/s11356-017-9189-9

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  • DOI: https://doi.org/10.1007/s11356-017-9189-9

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