Study on the Temporal and Spatial Variation of PM2.5 Health Burden in Henan Province from 2014 to 2021

• Autorzy: Yan, Jun , Wang, Ting , Wang, Xinying , Zhang, Xu
• Języki publikacji: EN

Abstrakty

EN

The research focuses on the temporal and spatial variation of PM2.5 health burden of Henan Province from 2014 to 2021. The Global Exposure Mortality Model was used to estimate the health burden attributed to PM_2.5. The results are as follows: The concentration of PM_2.5 showed a significant downward trend, with a spatial distribution pattern of higher in the north and the east but lower in the south and the west. The exposed population showed a decreasing trend. The overall frequency of PM_2.5 concentration decrease was 0.13 μg·m-3/a. The number of PM_2.5 – attributable mortality decreased from 86,297 in 2014 to 82,667 in 2021. Ischemic heart disease had the highest number of attributable mortality, with an average of 55,072 deaths per year. Chronic obstructive pulmonary disease and lung cancer had relatively high numbers, while respiratory tract infections were lower, with an average of 4,034 deaths per year.

Słowa kluczowe

EN

PM 2.5; GEMM model; attributable mortality; Henan Province

• Czasopismo: Rocznik Ochrona Środowiska
• Rocznik: 2024
• Tom: Tom 26
• Strony: 226--235
• Opis fizyczny: Bibliogr. 29 poz., rys., tab.

Twórcy

autor

Yan, Jun

• School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China,

autor

Wang, Ting

• School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China

autor

Wang, Xinying

• School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China

autor

Zhang, Xu

• School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China

Bibliografia

• Brunekreef, B., Strak, M., Chen, J., Andersen, Z.J., Atkinson, R., Bauwelinck, M., … Hoek, G. (2021). Mortality and Morbidity Effects of Long-Term Exposure to Low-Level PM2.5, BC, NO2, and O3: An Analysis of European Cohorts in the ELAPSE Project. Boston: Health Effects Institute, 5-129. https://pubmed.ncbi.nlm.nih.gov/36106702/
• Burnett, R., Chen, H., Szyszkowicz, M., Fann, N., Hubbell, B., Pope, C.A., … Spadaro, J.V. (2018). Global estimates of mortality associated with longterm exposure to outdoor fine particulate matter. Proceedings of the National Academy of Sciences of the United States of America, 115(38), 9592-9597. https://doi.org/10.1073/pnas.1803222115
• Cai, Q.N., Che, Y.Z., Sun, L.Y., Tian, J.X., Fang, D.L., Chen, B., Luo, M. (2021). PM2.5 concentration prediction and its health effect in the Pearl River Delta of China. Acta Ecologica Sinica, 41(22), 8977-8990.
• Chen, B., Yan, J.W., Luo, Y.N. (2019). Will Haze Promote Public Willingness for Green Investment – Empirical Research Based on SEM. China Population. Resources and Environment, 29(3). https://doi.org/10.12062/cpre.20180923
• Chen, S., Liu, Y.Y., Li, S.M., Shi, X.D., Lv, H., Wang, J. (2020). Research on Health Risks and Economic Losses of PM2.5 Pollution in Typical Cities of Beijing Tianjin Hebei. Journal of Safety and Environment, 20(3), 1146-1153. https://doi.org/10.13637/j.issn.1009-6094.2019.0615
• China Center for Disease Control and Prevention Chronic Non communicable Disease Control and Prevention Center. (n.d.). National Health Commission Statistical Information Center. China Cause of Death Monitoring Dataset (2013-2020). Beijing: China Science and Technology Press.
• Chuai, X.M., Han, Y.J., Zhou, H.X., Fan, C. (2022). Evaluation study on health damage caused by PM2.5 in Henan Province from 2015 to 2018. Journal of Henan Polytechnic University (Natural Science), 41(2), 67-76.
• Cohen, A.J., Brauer, M., Burnett, R., Anderson, H.R., Frostad, J., Estep, K., … Forouzanfar, M.H. (2017). Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015. The Lancet, 389(10082), 1907-1918.
• https://doi.org/10.1016/S0140-6736(17)30505-6
• Du, P., Wang, J.Z. (2021). Health Benefit Assessment of PM2.5 Pollution Control in Beijing. Environmental Science, 42(3), 1255-1267. https://doi.org/10.13227/j.hjkx.202005225
• Fuller, R., Landrigan, P.J., Balakrishnan, K., Bathan, G., Bose-O'Reilly, S., Brauer, M., … Yan, C. (2022). Pollution and health: a progress update. The Lancet Planetary Health, 6, e535-e547. Elsevier B.V. https://doi.org/10.1016/S2542-5196(22)00090-0
• Geng, G.N., Zhang, Y.X., Zhang, Q., Xue, T., Zhao, H.Y., Tong, D., … Davis, S.J. (2021). Drivers of PM2.5 air pollution deaths in China 2002-2017. Nature Geoscience, 14(9), 645-650. https://doi.org/10.1038/s41561-021-00792-3
• Gui, K., Che, H., Zheng, Wang, Y.Q., Wang, H., Hang, L., Zhao, H. K., … Zhang, X. ye. (2019). Satellite-derived PM2.5 concentration trends over Eastern China from 1998 to 2016: Relationships to emissions and meteorological parameters. Environmental Pollution, 247, 1125-1133. https://doi.org/10.1016/j.envpol.2019.01.056
• Hao, Y.P., Song, X.W., Zhu, X.D., Wang, J.W., Cheng, P., Bi, X. (2023). Health Benefit and Scenario Forecast of PM2.5 and O3 in Fenwei Plain. Research of Environmental Sciences, 1-16.
• https://doi.org/10.13198/j.issn.1001-6929.2023.12.04
• Jia, W.L., Li, L., Lei, Y.L., Wu, S.M. (2023). Synergistic effect of CO2 and PM2.5 emissions from coal consumption and the impacts on health effects. Journal of Environmental Management, 325. https://doi.org/10.1016/j.jenvman.2022.116535
• Li, F., Guo, J.Y., Qu, Z.G., Yan, J.J., Kong, S.J., Zhou, Y.Y., Ou, C.H. (2023). Temporal and Spatial Evolution of PM2.5 in the Yangtze River Economic Belt and Evaluation of Health Economic Benefits. Safety, Health and Environment, 23(11), 48-59. https://doi.org/10.3969/j.issn.1672-7932.2023.11.009
• Liao, L.X., Chen, J. (2022). Study on the Spatiotemporal Characteristics and Influencing Factors of Population Exposure to Particulate Matter (PM2.5) in Henan Province. Journal of Fujian Normal University (Natural Science Edition), 38(1), 59-68. https://doi.org/10.12046/j.issn.1000-5277.2022.01.008
• Liao, Q., Li, Y., Tao, Y. (2023). Spatiotemporal Trends and Driving Factors of PM2.5 – related Health Burden in Gansu Province, China from 2013 to 2020. Environmental Science. https://doi.org/10.13227/j.hjkx.202308073
• Liu, L.Y., Zhang, J. (2023). Spatial-temporal Evolution of PM2.5 Population Exposure Risk in Urban Agglomerations in Guanzhong Plain. Envioonmental Science and Management, 48(6),49-54.
• Liu, X.Y., Zhang, Y.D., Yan, J.H., Zhang, X.M., Zhao, C.M. (2022). Assessing the Influence of Anthropogenic Emissionsons on Fine Particulate Matter and Ozone in Xinyang. Journal of Xinyang Normal University, 36(2), 190-195. https://doi.org/10.3969/j.issn.1003-0975.2023.02.004
• Lu, X.C., Chen, Y., Huang, Y.Q., Chen, D.H., Shen, J., Lin, C.Q., … Lau, A.K.H. (2020). Exposure and mortality apportionment of PM2.5 between 2006 and 2015 over the Pearl River Delta region in southern China. Atmospheric Environment, 231. https://doi.org/10.1016/j.atmosenv.2020.117512
• Murray, C.J.L., Aravkin, A.Y., Zheng, P., Abbafati, C., Abbas, K.M., Abbasi-Kangevari, M., … Lim, S.S. (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. The Lancet, 396(10258), 1223-1249.
• https://doi.org/10.1016/S0140-6736(20)30752-2
• Wang, Z.G., Hu, B.F., Zhang, C., Atkinson, P.M., Wang, Z.F., Xu, K., … Shi, Z. (2022). How the Air Clean Plan and carbon mitigation measures co-benefited China in PM2.5 reduction and health from 2014 to 2020. Environment International, 169. https://doi.org/10.1016/j.envint.2022.107510
• Wei, T., Li, Z.L., Chen, Y., Zhao, X.G., Wang, D.L., Hou, Y.X., Liu, F. (2023). Assessment of the health benefits of declining PM2.5 levels in the Yangtze River Delta. China Environmental Science, 43(6), 3211-3219. https://doi.org/10.19674/j.cnki.issn1000-6923.20230223.001
• World Health Organization (WHO). (2021). WHO global air quality guidelines: Particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide. https://www.who.int/publications/i/item/9789240034228
• Xiao, Q.Y., Geng, G.N., Xue, T., Liu, S.G., Cai, C.L., He, K. Bin, Zhang, Q. (2022). Tracking PM2.5 and O3 Pollution and the Related Health Burden in China 2013-2020. Environmental Science and Technology, 56(11), 6922-6932. https://doi.org/10.1021/acs.est.1c04548
• Xu, F.J., Huang, Q.X., Yue, H.B., Feng, X.Y., Xu, H.R., He, C.Y., … Bryan, B.A. (2023). The challenge of population aging for mitigating deaths from PM2.5 air pollution in China. Nature Communications, 14(1). https://doi.org/10.1038/s41467-023-40908-4
• Xue, T., Liu, J., Zhang, Q., Geng, G.N. (2020). Rapid improvement of PM2.5 pollution in China from 2013 to 2017 and its health benefits. Science China Press, 50(4), 441-452. https://doi.org/10.1360/sste-2019-0245
• Zhang, X.Y., Hu, H.B. (2018). Risk Assessment of Exposure to PM2.5 in Beijing Using Multi-Source Data. Acta Scientiarum Naturalium Universitatis Pekinensis, 54(5), 1103-1113.
• https://doi.org/10.13209/j.0479-8023.2018.031
• Zhou, L., Niu, Y., Chen, R.J., Kan, H.D. (2023). Assessment of PM2.5-related mortality burden and health economic loss in Shanghai. China Environmental Science, 43(7).
• https://doi.org/10.19674/j.cnki.issn1000-6923.20230314.001

Identyfikatory

DOI

10.54740/ros.2024.023