Death Effects Assessment of PM2.5 Pollution in China

被引:12
|
作者
Xie, Zhixiang [1 ,2 ,3 ]
Qin, Yaochen [1 ,2 ,3 ]
Zhang, Lijun [1 ,2 ]
Zhang, Rongrong [1 ]
机构
[1] Henan Univ, Coll Environm & Planning, Kaifeng 475004, Peoples R China
[2] Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475004, Peoples R China
[3] Collaborat Innovat Ctr Urban Rural Coordinated De, Zhengzhou 450046, Henan, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
PM2.5; pollution; number of deaths; mortality rate; exposure response function; AMBIENT AIR-POLLUTION; GLOBAL BURDEN; DISEASE; MORTALITY; EXPOSURE; HEALTH; CITIES;
D O I
10.15244/pjoes/77077
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The provinces of China have suffered from severe PM2.5 pollution in recent years, presenting a significant threat to human health. Identifying associations between mortality rate and PM2.5 level is extremely useful for a range of purposes, such as the development of preventive measures, increasing health awareness, and establishing disaster warning systems. Based on remote sensing data, station monitoring data, and statistical data, this paper uses the exposure response function, regression analysis, and kriging to evaluate the number of deaths in China's 31 provinces caused by PM2.5 pollution in 2015. Variations in the number of deaths and mortality rates in China under different PM2.5 concentration control standards have been simulated by a range of countries and organizations helping to develop optimal control standards for each province individually according to actual PM2.5 concentration. These results show that: 1) PM2.5 pollution has an important effect on the mortality rate in China. The rate caused by PM2.5 pollution in 2015 accounted for 1.75%, or approximately 2.62 million people and 31.14% of all deaths in China. 2) Strict control standards for PM2.5 concentration can bring significant health benefits, with projections that if PM2.5 concentration in China's provinces were controlled to the level set by China, the EU, Japan, USA, and Australia, the number of deaths caused by PM2.5 pollution would be reduced by approximately 0.95, 1.52, 2.02, 2.26, and 2.49 million people, respectively, or 36.24%, 58.08%, 79.91%, 86.47%, and 95.20% compared with baseline year data. 3) Choosing appropriate control targets for limiting PM2.5 concentrations in different provinces in China is an effective way to obtain optimal health benefits. Beijing, Tianjin, Hebei, Shandong, and Henan should adopt a 35 mu g/m(3) standard with a 25 mu g/m(3) standard appropriate for Shanxi, Liaoning, Jilin, Shanghai, Jiangsu, Zhejiang, Anhui, Hubei, Hunan, Chongqing, Shanxi, and Xinjiang; 13 provinces, including Inner Mongolia, Heilongjiang, Fujian, Jiangxi, Guangdong, Guangxi, Sichuan, Guizhou, Yunnan, Tibet, Gansu, Qinghai, and Ningxia, should adopt the 15 mu g/m(3) standard; and Hainan should consider choosing a 12 mu g/m(3) standard.
引用
收藏
页码:1813 / 1821
页数:9
相关论文
共 50 条
  • [1] Mortality effects assessment of ambient PM2.5 pollution in the 74 leading cities of China
    Fang, Die
    Wang, Qin'geng
    Li, Huiming
    Yu, Yiyong
    Lu, Yan
    Qian, Xin
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2016, 569 : 1545 - 1552
  • [2] Effects of Imports and Exports on China's PM2.5 Pollution
    Li, Zhaohua
    Fang, Ziwei
    Tang, Zhuyu
    [J]. CHINA & WORLD ECONOMY, 2020, 28 (06) : 28 - 50
  • [3] Responses of PM2.5 pollution to urbanization in China
    Wang, Xiaomin
    Tian, Guanghui
    Yang, Dongyang
    Zhang, Wenxin
    Lu, Debin
    Liu, Zhongmei
    [J]. ENERGY POLICY, 2018, 123 : 602 - 610
  • [4] Pollution characteristics and toxic effects of PM1.0 and PM2.5 in Harbin, China
    Guangzhi Wang
    Yuanyuan Xu
    Likun Huang
    Kun Wang
    Hairui Shen
    Zhe Li
    [J]. Environmental Science and Pollution Research, 2021, 28 : 13229 - 13242
  • [5] Pollution characteristics and toxic effects of PM1.0 and PM2.5 in Harbin, China
    Wang, Guangzhi
    Xu, Yuanyuan
    Huang, Likun
    Wang, Kun
    Shen, Hairui
    Li, Zhe
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (11) : 13229 - 13242
  • [6] Long-term PM2.5 pollution over China: Identification of PM2.5 pollution hotspots and source contributions
    Ali, Md. Arfan
    Huang, Zhongwei
    Bilal, Muhammad
    Assiri, Mazen E.
    Mhawish, Alaa
    Nichol, Janet E.
    de Leeuw, Gerrit
    Almazroui, Mansour
    Wang, Yu
    Alsubhi, Yazeed
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 893
  • [7] Effect of PM2.5 pollution on perinatal mortality in China
    Li, Guangqin
    Li, Lingyu
    Liu, Dan
    Qin, Jiahong
    Zhu, Hongjun
    [J]. SCIENTIFIC REPORTS, 2021, 11 (01)
  • [8] Response of PM2.5 pollution to land use in China
    Lu, Debin
    Xu, Jianhua
    Yue, Wenze
    Mao, Wanliu
    Yang, Dongyang
    Wang, Jinzhu
    [J]. JOURNAL OF CLEANER PRODUCTION, 2020, 244
  • [9] Effect of PM2.5 pollution on perinatal mortality in China
    Guangqin Li
    Lingyu Li
    Dan Liu
    Jiahong Qin
    Hongjun Zhu
    [J]. Scientific Reports, 11
  • [10] Impacts of shipping emissions on PM2.5 pollution in China
    Lv, Zhaofeng
    Liu, Huan
    Ying, Qi
    Fu, Mingliang
    Meng, Zhihang
    Wang, Yue
    Wei, Wei
    Gong, Huiming
    He, Kebin
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2018, 18 (21) : 15811 - 15824