Spatiotemporal patterns of particulate matter (PM) and associations between PM and mortality in Shenzhen, China
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https://hdl.handle.net/10037/10494Date
2016-03-02Type
Peer reviewedJournal article
Tidsskriftsartikkel
Author
Zhang, Fengying; Liu, Xiaojian; Zhou, Lei; Yu, Yong; Wang, Li; Lu, Jinmei; Wang, Wuyi; Krafft, ThomasAbstract
Background: Most studies on air pollution exposure and its associations with human health in China have focused on
the heavily polluted industrial areas and/or mega-cities, and studies on cities with comparatively low air pollutant
concentrations are still rare. Only a few studies have attempted to analyse particulate matter (PM) for the vibrant
economic centre Shenzhen in the Pearl River Delta. So far no systematic investigation of PM spatiotemporal patterns
in Shenzhen has been undertaken and the understanding of pollution exposure in urban agglomerations with
comparatively low pollution is still limited.
Methods: We analyze daily and hourly particulate matter concentrations and all-cause mortality during 2013 in
Shenzhen, China. Temporal patterns of PM (PM2.5 and PM10) with aerodynamic diameters of 2.5 (10) μm or less
(or less (including particles with a diameter that equals to 2.5 (10) μm) are studied, along with the ratio of PM2.5 to
PM10. Spatial distributions of PM10 and PM2.5 are addressed and associations of PM10 or PM2.5 and all-cause mortality
are analyzed.
Results: Annual average PM10 and PM2.5 concentrations were 61.3 and 39.6 μg/m3 in 2013. PM2.5 failed to meet the
Class 2 annual limit of the National Ambient Air Quality Standard. PM2.5 was the primary air pollutant, with 8.8 % of
days having heavy PM2.5 pollution. The daily PM2.5/PM10 ratios were high. Hourly PM2.5 concentrations in the tourist
area were lower than downtown throughout the day. PM10 and PM2.5 concentrations were higher in western parts of
Shenzhen than in eastern parts. Excess risks in the number of all-cause mortality with a 10 μg/m3 increase of PM were
0.61 % (95 % confidence interval [CI]: 0.50–0.72) for PM10, and 0.69 % (95 % CI: 0.55–0.83) for PM2.5, respectively. The
greatest ERs of PM10 and PM2.5 were in 2-day cumulative measures for the all-cause mortality, 2-day lag for females and
the young (0–65 years), and L02 for males and the elder (>65 years). PM2.5 had higher risks on all-cause mortality than
PM10. Effects of high PM pollution on mortality were stronger in the elder and male.
Conclusions: Our findings provide additional relevant information on air quality monitoring and associations of PM
and human health, valuable data for further scientific research in Shenzhen and for the on-going discourse on
improving environmental policies
Description
DOI: 10.1186/s12889-016-2725-6