ORIGINAL RESEARCH
Death Effects Assessment of PM2.5 Pollution in China
More details
Hide details
1
College of Environment and Planning, Henan University, Kaifeng 475004, China
2
Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions, Kaifeng 475004, China
3
Collaborative Innovation Center of Urban-Rural Coordinated Development, Henan Province, Zhengzhou 450046, China
Submission date: 2017-08-04
Final revision date: 2017-09-11
Acceptance date: 2017-09-18
Online publication date: 2018-02-20
Publication date: 2018-03-30
Corresponding author
Zhixiang Xie
College of Environment and Planning, Henan University, College of Environment and Planning, Henan University, Kaifeng , China, 475004 Kaifeng, China
Pol. J. Environ. Stud. 2018;27(4):1813-1821
KEYWORDS
TOPICS
ABSTRACT
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 μg/m3 standard with a 25 μg/m3 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 μg/m3 standard; and Hainan should consider choosing a 12 μg/m3 standard.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
CITATIONS (11):
1.
Effects of using different exposure data to estimate changes in premature mortality attributable to PM2.5 and O3 in China
Chunlu Wang, Yiyi Wang, Zhihao Shi, Jinjin Sun, Kangjia Gong, Jingyi Li, Momei Qin, Jing Wei, Tiantian Li, Haidong Kan, Jianlin Hu
Environmental Pollution
2.
Uncertainty Analysis of Premature Death Estimation Under Various Open PM2.5 Datasets
Jing Liu, Shenxin Li, Ying Xiong, Ning Liu, Bin Zou, Liwei Xiong
Frontiers in Environmental Science
3.
Assessment of particulate matter (PM2.5, PM10) in air, elemental composition of granite and weather parameters at a quarry site in Ngwogwo, Ebonyi State, Nigeria
P. C. Ogbonna, N. P. Ukpai, E. A. Ubuoh
Nigerian Journal of Environmental Sciences and Technology
4.
Value Assessment of Health Losses Caused by PM2.5 Pollution in Cities of Atmospheric Pollution Transmission Channel in the Beijing–Tianjin–Hebei Region, China
Zhixiang Xie, Yang Li, Yaochen Qin, Peijun Rong
International Journal of Environmental Research and Public Health
5.
An Integration Method for Regional PM2.5 Pollution Control Optimization Based on Meta-Analysis and Systematic Review
Bingkui Qiu, Min Zhou, Yang Qiu, Yuxiang Ma, Chaonan Ma, Jiating Tu, Siqi Li
International Journal of Environmental Research and Public Health
6.
Projecting non-communicable diseases attributable to air pollution in the climate change era: a systematic review
Norhafizah Karim, Rozita Hod, Muhammad Ikram A Wahab, Norfazilah Ahmad
BMJ Open
7.
Spatiotemporal variations of chlorinated paraffins in PM2.5 from Chinese cities: Implication of the shifting and upgrading of its industries
Di Liu, Qilu Li, Zhineng Cheng, Kechang Li, Jun Li, Gan Zhang
Environmental Pollution
8.
Assessment of surface O3-induced risk variations on wheat using different exposure data in Hebei, China
Shaorong Li, Xi You, Qi Qi, Aifang Gao, Yitu Liu, Donghao Hu, Baojun Zhang, Peng Wang, Hongliang Zhang
Journal of Hazardous Materials
9.
Assessing the effects of haze pollution on subjective well-being based on Chinese General Social Survey
Yan Song, Aina Zhou, Ming Zhang, Hui Wang
Journal of Cleaner Production
10.
Health and Economic Loss Assessment of PM2.5 Pollution during 2015–2017 in Gansu Province, China
Qin Liao, Wangqiang Jin, Yan Tao, Jiansheng Qu, Yong Li, Yibo Niu
International Journal of Environmental Research and Public Health
11.
A pollution paradox? The political economy of environmental inspection and air pollution in China
Lan Zheng, Ming Na
Energy Research & Social Science