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2009年至2014年间,世界上污染最严重的城市之一(伊朗阿瓦士)的颗粒物(PM)及其相关健康影响的时间分布情况。

Temporal profile of PM and associated health effects in one of the most polluted cities of the world (Ahvaz, Iran) between 2009 and 2014.

作者信息

Maleki Heidar, Sorooshian Armin, Goudarzi Gholamreza, Nikfal Amirhossein, Baneshi Mohammad Mehdi

机构信息

Master of Environmental Engineering, School of Science Water Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran.

Department of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ, USA.

出版信息

Aeolian Res. 2016 Sep;22:135-140. doi: 10.1016/j.aeolia.2016.08.006. Epub 2016 Aug 20.

Abstract

Ahvaz, Iran ranks as the most polluted city of the world in terms of PM concentrations that lead to deleterious effects on its inhabitants. This study examines diurnal, weekly, monthly and annual fluctuations of PM between 2009 and 2014 in Ahvaz. Health effects of PM levels are also assessed using the World Health Organization AirQ software. Over the study period, the mean PM level in Ahvaz was 249.5 µg m, with maximum and minimum values in July (420.5 µg m) and January (154.6 µg m), respectively. The cumulative diurnal PM profile exhibits a dominant peak between 08:00-11:00 (local time) with the lowest levels in the afternoon hours. While weekend PM levels are not significantly reduced as compared to weekdays, an anthropogenic signature is instead observed diurnally on weekdays, which exhibit higher PM levels between 07:00-17:00 by an average amount of 14.2 µg m as compared to weekend days. PM has shown a steady mean-annual decline between 2009 (315.2 µg m) and 2014 (143.5 µg m). The AirQ model predicts that mortality was a health outcome for a total of 3777 individuals between 2009 and 2014 (i.e., 630 per year). The results of this study motivate more aggressive strategies in Ahvaz and similarly polluted desert cities to reduce the health effects of the enormous ambient aerosol concentrations.

摘要

就导致对居民产生有害影响的细颗粒物(PM)浓度而言,伊朗的阿瓦士是世界上污染最严重的城市。本研究调查了2009年至2014年期间阿瓦士PM的日、周、月和年波动情况。还使用世界卫生组织的AirQ软件评估了PM水平对健康的影响。在研究期间,阿瓦士的平均PM水平为249.5微克/立方米,最高值和最低值分别出现在7月(420.5微克/立方米)和1月(154.6微克/立方米)。累积的日PM曲线在当地时间08:00 - 11:00之间呈现出一个主导峰值,下午时段水平最低。虽然周末的PM水平与工作日相比没有显著降低,但在工作日却观察到明显的人为特征,即与周末相比,工作日07:00 - 17:00之间的PM水平平均高出14.2微克/立方米。2009年(315.2微克/立方米)至2014年(143.5微克/立方米)期间,PM呈现出稳定的年均下降趋势。AirQ模型预测,2009年至2014年期间共有3777人因健康问题死亡(即每年630人)。本研究结果促使阿瓦士以及污染情况类似的沙漠城市采取更积极的策略,以减少高浓度环境气溶胶对健康的影响。

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本文引用的文献

1
The effects of PM10 on electrocardiogram parameters, blood pressure and oxidative stress in healthy rats: the protective effects of vanillic acid.
Environ Sci Pollut Res Int. 2016 Oct;23(19):19551-60. doi: 10.1007/s11356-016-7168-1. Epub 2016 Jul 8.
2
Frequency and Character of Extreme Aerosol Events in the Southwestern United States: A Case Study Analysis in Arizona.
Atmosphere (Basel). 2016 Jan;7(1). doi: 10.3390/atmos7010001. Epub 2015 Dec 23.
7
Cardiovascular and respiratory mortality attributed to ground-level ozone in Ahvaz, Iran.
Environ Monit Assess. 2015 Aug;187(8):487. doi: 10.1007/s10661-015-4674-4. Epub 2015 Jul 4.
8
Effect of exposure to O₃ , NO₂, and SO₂ on chronic obstructive pulmonary disease hospitalizations in Tabriz, Iran.
Environ Sci Pollut Res Int. 2015 Feb;22(4):2817-23. doi: 10.1007/s11356-014-3512-5. Epub 2014 Sep 13.
9
Seasonal and diurnal variation in particulate matter (PM10 and PM2.5) at an urban site of Beijing: analyses from a 9-year study.
Environ Sci Pollut Res Int. 2015 Jan;22(1):627-42. doi: 10.1007/s11356-014-3347-0. Epub 2014 Aug 7.

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