Analysis of the adverse health effects of PM2.5 from 2001 to 2017 in China and the role of urbanization in aggravating the health burden.

In this study, the trend of PM2.5 concentrations and its adverse health effects in China from 2001 to 2017 are estimated utilizing 1-km high-resolution annual satellite-retrieved PM2.5 data. PM2.5 concentrations for most of the provinces/cities remained stable from 2001 to 2012; however, following the issue of the Air Pollution Prevention and Control Action Plan (APPCAP) by the central government of China, a dramatic decrease in PM2.5 concentrations from 2013 to 2017 occurred. Premature mortality caused by PM2.5 dropped from 1,078,800 in 2014 to 962,900 in 2017. The PM2.5 caused 17-year average mortality ranges from 3800 in Hainan Province to 124,800 in Henan Province. The health cost benefits gained by the reduction of PM2.5 pollution amounted to US $193,800 in 2017 (compared to the costs due to PM2.5 concentrations in 2013), amounting to 1.58% of the total national GDP. The impacts of urbanization on PM2.5 concentration and mortality are analyzed. The PM2.5 concentration and its induced mortality density in dense urban areas are much higher than those in rural areas. The aggravation of PM2.5 associated premature mortality in urban areas is mainly due to the larger amount of emissions and to urban migration, and 6500 deaths in 2014 could have been avoided were the population ratios in dense-urban/normal-urban/rural areas to be reversed to the ones in 2001. It is recommended that people with respiratory-related diseases live in rural areas, where the pollutant concentration is relatively low.

[1]  D. Allen Chu,et al.  Retrieval, validation, and application of the 1-km aerosol optical depth from MODIS measurements over Hong Kong , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[2]  J. Fung,et al.  Using satellite remote sensing data to estimate the high-resolution distribution of ground-level PM2.5 , 2015 .

[3]  J. E. Dobson,et al.  LandScan: A Global Population Database for Estimating Populations at Risk , 2000 .

[4]  J. Fung,et al.  Modeling Wet Deposition of Acid Substances over the PRD Region in China , 2015 .

[5]  Hai-long Ma,et al.  Quantifying the relationship between urban development intensity and carbon dioxide emissions using a panel data analysis , 2015 .

[6]  A. Dikshit,et al.  Estimating premature mortality attributable to PM2.5 exposure and benefit of air pollution control policies in China for 2020. , 2018, The Science of the total environment.

[7]  Zhifeng Liu,et al.  Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008 , 2012 .

[8]  J. Fung,et al.  Estimation of health and economic costs of air pollution over the Pearl River Delta region in China. , 2016, The Science of the total environment.

[9]  Carsten Brockmann,et al.  Automated Training Sample Extraction for Global Land Cover Mapping , 2014, Remote. Sens..

[10]  Michael Brauer,et al.  An Integrated Risk Function for Estimating the Global Burden of Disease Attributable to Ambient Fine Particulate Matter Exposure , 2014, Environmental health perspectives.

[11]  Christian Seigneur,et al.  Current Status of Air Quality Models for Particulate Matter , 2001, Journal of the Air & Waste Management Association.

[12]  Haidong Kan,et al.  Health benefits of improving air quality in Taiyuan, China. , 2014, Environment international.

[13]  Xuezhi Feng,et al.  Accuracy assessment of seven global land cover datasets over China , 2017 .

[14]  Denise L. Mauzerall,et al.  Evaluating impacts of air pollution in China on public health: Implications for future air pollution and energy policies , 2006 .

[15]  P. Kinney,et al.  A county-level estimate of PM2.5 related chronic mortality risk in China based on multi-model exposure data. , 2018, Environment international.

[16]  Alan D. Lopez,et al.  Cause-specific mortality for 240 causes in China during 1990–2013: a systematic subnational analysis for the Global Burden of Disease Study 2013 , 2016, The Lancet.

[17]  Feng Li,et al.  Examining the effects of urbanization and industrialization on carbon dioxide emission: Evidence from China's provincial regions , 2017 .

[18]  Bin Zhao,et al.  Public health benefits of reducing air pollution in Shanghai: a proof-of-concept methodology with application to BenMAP. , 2014, The Science of the total environment.

[19]  Jun Liu,et al.  Estimating adult mortality attributable to PM2.5 exposure in China with assimilated PM2.5 concentrations based on a ground monitoring network. , 2016, The Science of the total environment.

[20]  Ki-Hyun Kim,et al.  A review on the human health impact of airborne particulate matter. , 2015, Environment international.

[21]  Philippe Ciais,et al.  Gross and net land cover changes in the main plant functional types derived from the annual ESA CCI land cover maps (1992–2015) , 2018 .

[22]  Neal Fann,et al.  The public health context for PM2.5 and ozone air quality trends , 2013, Air Quality, Atmosphere & Health.

[23]  Bin Zhao,et al.  Assessment of short-term PM2.5-related mortality due to different emission sources in the Yangtze River Delta, China , 2015 .

[24]  Philippe Ciais,et al.  High-resolution mapping of combustion processes and implications for CO 2 emissions , 2012 .

[25]  Huiming Li,et al.  Mortality effects assessment of ambient PM2.5 pollution in the 74 leading cities of China. , 2016, The Science of the total environment.

[26]  C. Nielsen,et al.  Benefits of China's efforts in gaseous pollutant control indicated by the bottom-up emissions and satellite observations 2000–2014 , 2016 .

[27]  Jiming Hao,et al.  Particulate matter pollution over China and the effects of control policies. , 2017, The Science of the total environment.

[28]  Alexis K.H. Lau,et al.  High-resolution satellite remote sensing of provincial PM2.5 trends in China from 2001 to 2015 , 2018 .

[29]  J. Lelieveld,et al.  Model calculated global, regional and megacity premature mortality due to air pollution , 2013 .

[30]  Michael Brauer,et al.  Addressing Global Mortality from Ambient PM2.5. , 2015, Environmental science & technology.

[31]  Qihao Weng,et al.  Detecting urban-scale dynamics of electricity consumption at Chinese cities using time-series DMSP-OLS (Defense Meteorological Satellite Program-Operational Linescan System) nighttime light imageries , 2016 .

[32]  D. Henze,et al.  Assessing public health burden associated with exposure to ambient black carbon in the United States. , 2016, The Science of the total environment.

[33]  Miaomiao Liu,et al.  Spatial and temporal trends in the mortality burden of air pollution in China: 2004-2012. , 2017, Environment international.

[34]  Yun Chen,et al.  Modeling spatiotemporal CO2 (carbon dioxide) emission dynamics in China from DMSP-OLS nighttime stable light data using panel data analysis , 2016 .

[35]  M. Brauer,et al.  Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application , 2010, Environmental health perspectives.

[36]  N. Fann,et al.  The health impacts and economic value of wildland fire episodes in the U.S.: 2008-2012. , 2018, The Science of the total environment.

[37]  Alexis K.H. Lau,et al.  Estimation of long-term population exposure to PM2.5 for dense urban areas using 1-km MODIS data , 2016 .

[38]  R. Muller,et al.  Air Pollution in China: Mapping of Concentrations and Sources , 2015, PloS one.

[39]  Changqing Lin,et al.  Assessment of health burden caused by particulate matter in southern China using high-resolution satellite observation. , 2017, Environment international.

[40]  P. Ciais,et al.  Reduced carbon emission estimates from fossil fuel combustion and cement production in China , 2015, Nature.

[41]  Weiqi Zhou,et al.  Impact of urbanization level on urban air quality: a case of fine particles (PM(2.5)) in Chinese cities. , 2014, Environmental pollution.