School of Management, China University of Mining and Technology (Beijing), Beijing 100083, China.
Int J Environ Res Public Health. 2022 Feb 9;19(4):1922. doi: 10.3390/ijerph19041922.
Exposure to PM can seriously endanger public health. Policies for controlling PM need to consider health hazards under different circumstances. Unlike most studies on the concentration, distribution, and influencing factors of PM, the present study focuses on the impact of PM on human health. We analysed the spatial-temporal evolution of health impact and economic loss caused by PM exposure using the log-linear exposure-response function and benefit transfer method. The results indicate that the number of people affected by PM pollution fluctuated and began to decline after reaching a peak in 2014, benefiting from the Air Pollution Prevention and Control Action Plan. Regarding the total economic loss, the temporal pattern continued to rise until 2014 and then declined, with an annual mean of 86,886.94 million USD, accounting for 1.71% of China's GDP. For the spatial pattern, the health impact and economic loss show a strong spatial correlation and remarkable polarisation phenomena, with high values in East China, North China, Central China, and South China, but low values in Southwest China, Northwest China, and Northeast China. The spatial-temporal characterisation of PM health hazards is visualised and analysed accordingly, which can provide a reference for more comprehensive and effective policy decisions.
PM 的暴露会严重危害公众健康。控制 PM 的政策需要考虑不同情况下的健康危害。与大多数关于 PM 浓度、分布和影响因素的研究不同，本研究侧重于 PM 对人类健康的影响。我们使用对数线性暴露-反应函数和效益转移方法分析了 PM 暴露对健康影响和经济损失的时空演变。结果表明，受 PM 污染影响的人数波动，在 2014 年达到峰值后开始下降，这得益于《大气污染防治行动计划》。关于总经济损失，时间模式持续上升，直到 2014 年才下降，年平均值为 8688694 万美元，占中国 GDP 的 1.71%。对于空间模式，健康影响和经济损失表现出很强的空间相关性和显著的极化现象，华东、华北、华中、华南地区数值较高，而西南、西北和东北地区数值较低。PM 健康危害的时空特征进行了可视化和分析，为更全面、更有效的政策决策提供了参考。
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