Abstract
Air pollution, measured by the concentration of airborne particulate matter with diameter below 2.5 μm (PM2.5), is known to cause globally adverse health effects leading to premature mortality, yet high-resolution spatial distribution of premature deaths is lacking due to the absence of detailed data for the calculation of premature mortality. Here, we mapped the impact of PM2.5 on premature mortality at high resolution in 2018 using the global exposure mortality model, then we carried out statistical analysis in provincial-level administrative divisions. Results show that the PM2.5 threshold of 35 μg/m3 is exceeded in the Xinjiang Uygur Autonomous Region, and in mideastern, highly urbanized and industrial regions of Tianjin, Hebei, Shandong, Henan, Jiangsu, Hubei, Anhui, and Shanghai. Premature deaths due to PM2.5 exposure in China amounted to 1.44 million, including 510,847 from ischemic heart disease, 471,487 from cerebrovascular disease, 220,837 from chronic obstructive pulmonary disease, 131,321 from lung cancer, and 103,658 from lower respiratory infection. Premature mortality was higher in men, of 879,521 persons accounting for 61%, than women, of 558,629 persons. In provincial-level administrative divisions, high premature deaths were mainly concentrated in the North China Plain, with the highest per capita premature mortality in the Xinjiang Uygur Autonomous Region, Henan, Hebei, and Shandong. Our finer resolution data, together with the age- and sex-specific population data, have improved the estimation of health impacts of PM2.5 exposure.
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References
Bayat R, Ashrafi K, Motlagh MS, Hassanvand MS, Daroudi R, Fink G, Kunzli N (2019) Health impact and related cost of ambient air pollution in Tehran. Environ Res 176:108547. https://doi.org/10.1016/j.envres.2019.108547
Burnett RT, Chen H, Szyszkowicz M et al (2018) Global estimates of mortality associated with long-term exposure to outdoor fine particulate matter. P Natla Sci 115(38):9592–9597. https://doi.org/10.1073/pnas.1803222115
Burnett RT, Pope CA, Ezzati M et al (2014) An integrated risk function for estimating the global burden of disease attributable to ambient fine particulate matter exposure. Environ Health Persp 122:397–403. https://doi.org/10.1289/ehp.1307049
Chen Y, Zhou Y, Zhao X (2019) PM2.5 over North China based on MODIS AOD and effect of meteorological elements during 2003–2015. Front Env Sci Eng 14(2):23. https://doi.org/10.1007/s11783-019-1202-8
Cheng Z, Li L, Liu J (2017) Identifying the spatial effects and driving factors of urban PM 2.5 pollution in China. Ecol Indic 82:61–75. https://doi.org/10.1016/j.ecolind.2017.06.043
Chowdhury S, Pozzer A, Dey S, Klingmueller K, Lelieveld J (2020) Changing risk factors that contribute to premature mortality from ambient air pollution between 2000 and 2015. Environ Res Lett 15(7):074010. https://doi.org/10.1088/1748-9326/ab8334
Cohen A, Anderson HR, Ostro B, Pandey K et al (2004) Urban air pollution. In: Ezzati M, Lopez A, Rodgers A, Murray CJL (eds) Comparative quantification of health risks: global and regional burden of disease attributable to selected major risk factors. World Health Organization, Geneva, pp 1353–1433
van Donkelaar A, Martin RV, Li C, Burnett RT (2019) Regional estimates of chemical composition of fine particulate matter using a combined geoscience-statistical method with information from satellites, models, and monitors. Environ Sci Technol 53(5):2595–2611. https://doi.org/10.1021/acs.est.8b06392
Gao M, Ji D, Liang F, Liu Y (2018) Attribution of aerosol direct radiative forcing in China and India to emitting sectors. Atmos Environ 190:35–42. https://doi.org/10.1016/j.atmosenv.2018.07.011
GBD 2019 Risk Factors Collaborators (2020) Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the global burden of disease study 2019. Lancet 396:1223–1249. https://doi.org/10.1016/S0140-6736(20)30752-2
Giani P, Anav A, De MA, Feng Z (2020) Exploring sources of uncertainty in premature mortality estimates from fine particulate matter: the case of China. Environ Res Lett 15(6):064027. https://doi.org/10.1088/1748-9326/ab7f0f
Goto D, Ueda K, Ng CFS, Takami A, Ariga T, Matsuhashi K, Nakajima T (2016) Estimation of excess mortality due to long-term exposure to PM2.5 in Japan using a high-resolution model for present and future scenarios. Atmos Environ 140:320–332. https://doi.org/10.1016/j.atmosenv.2016.06.015
Hammer MS, van Donkelaar A, Li C, Lyapustin A, Sayer AM, Hsu NC, Levy RC, Garay MJ, Kalashnikova OV, Kahn RA, Brauer M, Apte JS, Henze DK, Zhang L, Zhang Q, Ford B, Pierce JR, Martin RV (2020) Global estimates and long-term trends of fine particulate matter concentrations (1998–2018). Environ Sci Technol 54(13):7879–7890. https://doi.org/10.1021/acs.est.0c01764
Huang Y, Yan Q, Zhang C (2018) Spatial-temporal distribution characteristics of PM25 in China in 2016. J Geovis Spat Anal 2(2):12. https://doi.org/10.1007/s41651-018-0019-5
Lelieveld J, Pozzer A, Pöschl U, Fnais M, Haines A, Münzel T (2020) Loss of life expectancy from air pollution compared to other risk factors: a worldwide perspective. Cardiovasc Res 116(11):1910–1917. https://doi.org/10.1093/cvr/cvaa025
Li J, Liu H, Lv Z, Zhao R, Deng F, Wang C, Qin A, Yang X (2018) Estimation of PM2.5 mortality burden in China with new exposure estimation and local concentration-response function. Environ Pollut 243:1710–1718. https://doi.org/10.1016/j.envpol.2018.09.089
Li T, Guo Y, Liu Y, Wang J, Wang Q, Sun Z, He MZ, Shi X (2019) Estimating mortality burden attributable to short-term PM2.5 exposure: a national observational study in China. Environ Int 125:245–251. https://doi.org/10.1016/j.envint.2019.01.073
Li Y, Zhao X, Liao Q, Tao Y, Bai Y (2020) Specific differences and responses to reductions for premature mortality attributable to ambient PM2.5 in China. Sci Total Environ 742:140643. https://doi.org/10.1016/j.scitotenv.2020.140643
Liu Y, Zhao N, Vanos JK, Cao G (2019) Revisiting the estimations of PM2.5-attributable mortality with advancements in PM2.5 mapping and mortality statistics. Sci Total Environ 666:499–507. https://doi.org/10.1016/j.scitotenv.2019.02.269
Ma Y, Li D, Zhou L (2021) Health impact attributable to improvement of PM2.5 pollution from 2014–2018 and its potential benefits by 2030 in China. Sustain Basel 13(17):9690. https://doi.org/10.3390/su13179690
Maji KJ, Ye W, Arora M, Nagendra SMS (2018) PM2.5-related health and economic loss assessment for 338 Chinese cities. Environ Int 121:392–403. https://doi.org/10.1016/j.envint.2018.09.024
Maji KJ (2020) Substantial changes in PM25 pollution and corresponding premature deaths across China during 2015–2019: a model prospective. Sci Total Environ 729:138838. https://doi.org/10.1016/j.scitotenv.2020.138838
MEP (2012) Ambient air quality standards. (Document GB 3095–2012) https://www.mee.gov.cn/ywgz/fgbz/bz/bzwb/dqhjbh/dqhjzlbz/201203/t20120302_224165.shtml Accessed on 5 Nov 2021
Pezzulo C, Hornby GM, Sorichetta A, Gaughan AE, Linard C, Bird TJ, Kerr D, Lloyd CT, Tatem AJ (2017) Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci Data 4(1):170089. https://doi.org/10.1038/sdata.2017.89
Prasad AK, Singh RP, Kafatos M (2006) Influence of coal based thermal power plants on aerosol optical properties in the Indo-Gangetic basin. Geophys Res Lett 33(5):L05805. https://doi.org/10.1029/2005gl023801
Prasad AK, Singh RP, Kafatos M (2012) Influence of coal-based thermal power plants on the spatial-temporal variability of tropospheric NO2 column over India. Environ Monit Assess 184(4):1891–1907. https://doi.org/10.1007/s10661-011-2087-6
Shan Y, Wang X, Wang Z, Liang L, Li J, Sun J (2020) The pattern and mechanism of air pollution in developed coastal areas of China: from the perspective of urban agglomeration. PLoS ONE 15(9):e0237863. https://doi.org/10.1371/journal.pone.0237863
Tarín-Carrasco P, Im U, Geels C, Palacios-Peña L, Jiménez-Guerrero P (2021) Contribution of fine particulate matter to present and future premature mortality over Europe: a non-linear response. Environ Int 153:106517. https://doi.org/10.1016/j.envint.2021.106517
Vodonos A, Schwartz J (2021) Estimation of excess mortality due to long-term exposure to PM2.5 in continental United States using a high-spatiotemporal resolution model. Environ Res 196:110904. https://doi.org/10.1016/j.envres.2021.110904
Wang Q, Wang J, He MZ, Kinney PL, Li T (2018) A county-level estimate of PM2.5 related chronic mortality risk in China based on multi-model exposure data. Environ Int 110:105–112. https://doi.org/10.1016/j.envint.2017.10.015
WHO (2021) WHO global air quality guidelines: particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide: executive summary. https://www.who.int/publications/i/item/9789240034433 Accessed on 5 Nov 2021
Xie R, Sabel CE, Lu X, Zhu W, Kan H, Nielsen CP, Wang H (2016) Long-term trend and spatial pattern of PM2.5 induced premature mortality in China. Environ Int 97:180–186. https://doi.org/10.1016/j.envint.2016.09.003
Xue T, Zhu T, Zheng Y, Liu J, Li X, Zhang Q (2019) Change in the number of PM2.5-attributed deaths in China from 2000 to 2010: comparison between estimations from census-based epidemiology and pre-established exposure-response functions. Environ Int 129:430–437. https://doi.org/10.1016/j.envint.2019.05.067
Zheng S, Schlink U, Ho KF, Singh RP, Pozzer A (2021) Spatial distribution of PM25-related premature mortality in China. GeoHealth 5(12):e20210GH00532. https://doi.org/10.1029/2021GH000532
Zhou M, Wang H, Zhu J, Chen W et al (2016) Cause-specific mortality for 240 causes in China during 1990–2013: a systematic subnational analysis for the global burden of disease study 2013. Lancet 387(10015):251–272. https://doi.org/10.1016/S0140-6736(15)00551-6
Zou B, You J, Lin Y, Duan X, Zhao X, Fang X, Campen MJ, Li S (2019) Air pollution intervention and life-saving effect in China. Environ Int 125:529–541. https://doi.org/10.1016/j.envint.2018.10.045
Acknowledgements
This research was funded by the National Natural Science Foundation of China (Grant No. 42007194); the MOE (Ministry of Education in China) Project of Humanities and Social Sciences (Grant No. 17YJCZH264); the open fund by Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (KHK1907); and the China Scholarship Council (Grant No. 202006325015).
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Zheng, S., Wu, X., Lichtfouse, E. et al. High-resolution mapping of premature mortality induced by atmospheric particulate matter in China. Environ Chem Lett 20, 2735–2743 (2022). https://doi.org/10.1007/s10311-022-01445-6
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DOI: https://doi.org/10.1007/s10311-022-01445-6