[Assessment of mortality burden and economic loss attributed to long-term PM(2.5) exposure in the Beijing-Tianjin-Hebei area]

Zhonghua Liu Xing Bing Xue Za Zhi. 2020 Sep 10;41(9):1471-1476. doi: 10.3760/cma.j.cn112338-20191205-00865.
[Article in Chinese]

Abstract

Objective: To accurately estimate the health burden and corresponding economic loss attributed to PM(2.5) pollution in the Beijing-Tianjin-Hebei (BTH) area in China in 2015. Method: By using satellite-retrieved PM(2.5) concentration data and population data provided by NASA (the spatial resolution was 1 km×1 km), this study estimated excess mortality attributed to long-term PM(2).5 exposure in BTH area in 2015 based on Global Exposure Mortality Model (GEMM). Besides, Value of Statistic Life (VSL) method was used to evaluate the corresponding health economic loss. Result: In BTH area, the population-weighted average PM(2.5) concentration during 2012-2014 was 46.25 μg/m(3), and 56.6% of total population lived in the area where annual average PM(2.5) concentration exceeded Grade Ⅱ of National Ambient Air Quality Standard in China (35 μg/m(3)); The PM(2.5)-related premature deaths amounted to 193.8 thousand (95%CI: 140.9 thousand-233.3 thousand), Beijing, Tianjin, Baoding, Shijiazhuang, and Handan were the top five cities with high incidences of PM(2.5)-related premature deaths; The corresponding health economic loss was about 35.934 billion (95%CI: 26.099 billion - 43.255 billion) RMB, accounting for 0.70% (95%CI: 0.51%-0.85%) of the area's GDP in 2015, Beijing, Tianjin, Baoding, Shijiazhuang, and Cangzhou were the top five cities with high health economic loss. Conclusions: PM(2.5) pollution has caused severe disease and economic burden in BTH area. Its spatial distribution suggested that it is particularly necessary to develop the air pollution prevention and control policies for key cities.

目的: 精确估计2015年京津冀地区长期PM(2.5)暴露的死亡负担及其经济损失。 方法: 选取美国国家航空航天局(NASA)提供的遥感PM(2.5)数据与人口数据,空间分辨率为1 km×1 km,基于全球-暴露死亡模型评估2015年京津冀地区PM(2.5)长期暴露的归因死亡人数,并利用统计寿命价值法估计其对应的健康经济损失。 结果: 2012-2014年京津冀地区3年平均PM(2.5)浓度为46.25 μg/m(3),平均有56.6%的人口居住在年均PM(2.5)浓度超过国家二级空气质量标准(35 μg/m(3))的地区;2015年京津冀地区归因于PM(2.5)长期暴露的早死人数为19.38(95%CI:14.09~23.33)万人,其中排名前5的城市分别为北京市、天津市、保定市、石家庄市和邯郸市;京津冀地区健康经济损失总计359.34(95%CI:260.99~432.55)亿元,占2015年该地区生产总值的0.70%(95%CI:0.51%~0.85%),其中排名前5的城市分别为北京市、天津市、保定市、石家庄市和沧州市。 结论: PM(2.5)污染造成了严重的疾病与经济负担,其空间分布提示针对重点城市的污染防控政策显得尤为必要。.

Keywords: Economic loss; Global exposure mortality model; Mortality burden; PM(2.5).

MeSH terms

  • Beijing / epidemiology
  • China / epidemiology
  • Cities / epidemiology
  • Cost of Illness*
  • Environmental Exposure* / adverse effects
  • Environmental Exposure* / statistics & numerical data
  • Humans
  • Mortality*
  • Particulate Matter* / adverse effects
  • Time Factors

Substances

  • Particulate Matter