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城市化对中国北京空气污染与死亡率关联的空间分布的影响

Influence of Urbanization on the Spatial Distribution of Associations Between Air Pollution and Mortality in Beijing, China.

作者信息

Han Ling, Qin Tian, Sun Zhaobin, Ren Hongyu, Zhao Na, An Xingqin, Wang Zhanshan

机构信息

State Key Laboratory for Infectious Disease Prevention and Control National Institute for Communicable Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing China.

Institute of Urban Meteorology China Meteorological Administration Beijing China.

出版信息

Geohealth. 2023 Mar 14;7(3):e2022GH000749. doi: 10.1029/2022GH000749. eCollection 2023 Mar.

Abstract

This study investigated the influence of urbanization on the intra-city spatial distribution of associations between air pollution and mortality in Beijing, China. First, we utilized the generalized additive model to establish the exposure-response associations of PM, O, with nonaccidental and cardiorespiratory mortality between urban and suburban areas. Second, we assessed district-specific air pollution-related mortality and analyzed how these associations were affected by the degree of urbanization. Finally, we analyzed the changes in air pollution-related mortality before and after the enforcement of the Air Pollution Prevention and Control Action Plan (referred to as the Action Plan). The effect estimates of PM for nonaccidental mortality were 0.20% (95% CI: 0.12-0.28) in urban areas and 0.46% (95% CI: 0.35-0.58) in suburban areas per 10 μg/m increase in PM concentrations. The corresponding estimates of O were 0.13% (95% CI: -0.04-0.29) in urban areas and 0.34% (95% CI: 0.12-0.56) in suburban areas per 10 μg/m increase in O concentrations; however, the difference between the estimates of O in urban and suburban areas was not statistically significant. The district-specific results suggested that the estimated risks increased along with urban vulnerability levels for the effects of PM. Implementing the Action Plan reduced the mortality risks of PM, but the risks of O increased in some districts. However, the difference in the estimates between the pre- and post-emission reductions was not statistically significant. Our study indicated that populations living in less urbanized areas are more vulnerable to the adverse effects of air pollution in Beijing, particularly for PM.

摘要

本研究调查了城市化对中国北京空气污染与死亡率之间城市内部空间分布的影响。首先,我们利用广义相加模型建立了城区和郊区PM、O与非意外死亡率和心肺死亡率之间的暴露-反应关联。其次,我们评估了各行政区特定的空气污染相关死亡率,并分析了这些关联如何受到城市化程度的影响。最后,我们分析了《大气污染防治行动计划》(以下简称《行动计划》)实施前后空气污染相关死亡率的变化。PM浓度每增加10μg/m,城区非意外死亡率的效应估计值为0.20%(95%CI:0.12-0.28),郊区为0.46%(95%CI:0.35-0.58)。O浓度每增加10μg/m,城区相应的估计值为0.13%(95%CI:-0.04-0.29),郊区为0.34%(95%CI:0.12-0.56);然而,城区和郊区O估计值之间的差异无统计学意义。各行政区特定的结果表明,PM效应的估计风险随城市脆弱性水平的增加而增加。实施《行动计划》降低了PM的死亡风险,但在一些行政区O的风险增加。然而,排放减少前后估计值的差异无统计学意义。我们的研究表明,生活在北京城市化程度较低地区的人群更容易受到空气污染的不利影响,尤其是PM。

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