Mortality burden due to long-term exposure to ambient PM2.5 above the new WHO air quality guideline based on 296 cities in China

被引:37
作者
Han, Chunlei [1 ]
Xu, Rongbin [2 ]
Ye, Tingting [2 ]
Xie, Yang [3 ,4 ]
Zhao, Yang [5 ,6 ]
Liu, Haiyun [7 ]
Yu, Wenhua [2 ]
Zhang, Yajuan [8 ]
Li, Shanshan [2 ]
Zhang, Zhongwen [1 ]
Ding, Yimin [9 ]
Han, Kun [10 ,11 ]
Fang, Chang [12 ]
Ji, Baocheng [13 ]
Zhai, Wenhui [14 ]
Guo, Yuming [1 ,2 ]
机构
[1] Binzhou Med Univ, Sch Publ Hlth & Management, Yantai 264003, Shandong, Peoples R China
[2] Monash Univ, Sch Publ Hlth & Prevent Med, Melbourne, Vic 3004, Australia
[3] Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China
[4] Beihang Univ, Key Lab Big Data Based Precis Med, Minist Ind & Informat Technol, Beijing 100191, Peoples R China
[5] Peking Univ Hlth Sci Ctr, George Inst Global Hlth, Beijing 100600, Peoples R China
[6] WHO Collaborating Ctr Implementat Res Prevent & Co, Melbourne, Vic 3010, Australia
[7] Yantai Ctr Dis Control & Prevent, Yantai 264003, Shandong, Peoples R China
[8] Ningxia Med Univ, Sch Publ Hlth & Management, Yinchuan 750004, Peoples R China
[9] Tongji Univ, Sch Software, Shanghai 200092, Peoples R China
[10] GuotaiJunan Secur, Shanghai 200030, Peoples R China
[11] Fudan Univ, Sch Econ, Shanghai 200433, Peoples R China
[12] Haerbin Med Univ, Sch Publ Hlth, Harbin 150081, Heilongjiang, Peoples R China
[13] Linyi Municipal Ecol & Environm Bur, Linyi 276000, Shandong, Peoples R China
[14] Beijing Univ Chem Technol, Coll Math & Phys, Beijing 100029, Peoples R China
基金
英国医学研究理事会;
关键词
PEARL RIVER DELTA; GLOBAL BURDEN; ALL-CAUSE; POLLUTION; HEALTH; URBANIZATION; DISEASE; RISK; IMPACTS; TRENDS;
D O I
10.1016/j.envint.2022.107331
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Objective: Quantifying the spatial and socioeconomic variation of mortality burden attributable to particulate matters with aerodynamic diameter?<=?2.5?mu m (PM2.5) has important implications for pollution control policy. This study aims to examine the regional and socioeconomic disparities in the mortality burden attributable to long-term exposure to ambient PM2.5 in China. Methods: Using data of 296 cities across China from 2015 to 2019, we estimated all-cause mortality (people aged?>=?16?years) attributable to the long-term exposure to ambient PM2.5 above the new WHO air quality guideline (5?mu g/m(3)). Attributed fraction (AF), attributed deaths (AD), attributed mortality rate (AMR) and total value of statistical life lost (VSL) by regional and socioeconomic levels were reported. Results: Over the period of 2015-2019, 17.0% [95% confidence interval (CI): 7.4-25.2] of all-cause mortality were attributable to long-term exposure to ambient PM2.5, corresponding to 1,425.2 thousand deaths (95% CI: 622.4-2,099.6), 103.5/10(5) (95% CI: 44.9-153.3) AMR, and 1006.9 billion USD (95% CI: 439.8-1483.4) total VSL per year. The AMR decreased from 120.5/10(5) (95% CI: 52.9-176.6) to 92.7/10(5) (95% CI:39.9-138.5) from 2015 to 2019. The highest mortality burden was observed in the north region (annual average AF?=?24.2%, 95% CI: 10.8-35.1; annual average AMR?=?137.0/10(5), 95% CI: 60.9-198.5). The highest AD and economic loss were observed in the east region (annual average AD?=?390.0 thousand persons, 95% CI: 170.3-574.6; annual total VSL?=?275.6 billion USD, 95% CI: 120.3-406.0). Highest AMR was in the cities with middle level of GDP per capita (PGDP)/urbanization. The majority of the top ten cities of AF, AMR and VSL were in high and middle PGDP/urbanization regions. Conclusion: There were significant regional and socioeconomic disparities in PM2.5 attributed mortality burden among Chinese cities, suggesting differential mitigation policies are required for different regions in China.
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页数:11
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