Urbanization-induced population migration has reduced ambient PM2.5 concentrations in China

Population migration has upgraded the direct energy consumption with remarkable benefits on air quality and health in China. Direct residential and transportation energy consumption (RTC) contributes significantly to ambient fine particulate matter with a diameter smaller than 2.5 μm (PM2.5) in China. During massive rural-urban migration, population and pollutant emissions from RTC have evolved in terms of magnitude and geographic distribution, which was thought to worsen PM2.5 levels in cities but has not been quantitatively addressed. We quantify the temporal trends and spatial patterns of migration to cities and evaluate their associated pollutant emissions from RTC and subsequent health impact from 1980 to 2030. We show that, despite increased urban RTC emissions due to migration, the net effect of migration in China has been a reduction of PM2.5 exposure, primarily because of an unequal distribution of RTC energy mixes between urban and rural areas. After migration, people have switched to cleaner fuel types, which considerably lessened regional emissions. Consequently, the national average PM2.5 exposure concentration in 2010 was reduced by 3.9 μg/m3 (90% confidence interval, 3.0 to 5.4 μg/m3) due to migration, corresponding to an annual reduction of 36,000 (19,000 to 47,000) premature deaths. This reduction was the result of an increase in deaths by 142,000 (78,000 to 181,000) due to migrants swarming into cities and decreases in deaths by 148,000 (76,000 to 194,000) and 29,000 (15,000 to 39,000) due to transitions to a cleaner energy mix and lower urban population densities, respectively. Locally, however, megacities such as Beijing and Shanghai experienced increases in PM2.5 exposure associated with migration because these cities received massive immigration, which has driven a large increase in local emissions.

[1]  Lucas R F Henneman,et al.  Evaluating the effectiveness of air quality regulations: A review of accountability studies and frameworks , 2017, Journal of the Air & Waste Management Association.

[2]  P. Patel,et al.  Global scenarios of urban density and its impacts on building energy use through 2050 , 2017, Proceedings of the National Academy of Sciences.

[3]  Jun Liu,et al.  Air pollutant emissions from Chinese households: A major and underappreciated ambient pollution source , 2016, Proceedings of the National Academy of Sciences.

[4]  D. Normile China Rethinks Cities. , 2016, Science.

[5]  Patricia J. Culligan,et al.  Meta-principles for developing smart, sustainable, and healthy cities , 2016, Science.

[6]  S. Tao,et al.  Global organic carbon emissions from primary sources from 1960 to 2009 , 2015 .

[7]  S. Tao,et al.  Direct Energy Consumption Associated Emissions by Rural-to-Urban Migrants in Beijing. , 2015, Environmental science & technology.

[8]  J. Lelieveld,et al.  The contribution of outdoor air pollution sources to premature mortality on a global scale , 2015, Nature.

[9]  Yan Sun,et al.  Spatial and Temporal Dimensions of Urban Expansion in China. , 2015, Environmental science & technology.

[10]  A. Khajavi,et al.  Burden of Hepatitis C in Iran Between 1990 and 2010: findings from the Global Burden of Disease Study 2010. , 2015, Archives of Iranian medicine.

[11]  M. Molina,et al.  Elucidating severe urban haze formation in China , 2014, Proceedings of the National Academy of Sciences.

[12]  S. Tao,et al.  Quantification of global primary emissions of PM2.5, PM10, and TSP from combustion and industrial process sources. , 2014, Environmental science & technology.

[13]  A. Piazzalunga,et al.  High secondary aerosol contribution to particulate pollution during haze events in China , 2014, Nature.

[14]  Wei Li,et al.  Global lung cancer risk from PAH exposure highly depends on emission sources and individual susceptibility , 2014, Scientific Reports.

[15]  S. Davis,et al.  Assessment of China's virtual air pollution transport embodied in trade by using a consumption-based emission inventory , 2014 .

[16]  Bo Qin,et al.  Note on urbanization in China: Urban definitions and census data , 2014 .

[17]  Philippe Ciais,et al.  A new high-resolution N2O emission inventory for China in 2008. , 2014, Environmental science & technology.

[18]  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.

[19]  Bin Wang,et al.  Exposure to ambient black carbon derived from a unique inventory and high-resolution model , 2014, Proceedings of the National Academy of Sciences.

[20]  Bin Zhao,et al.  NO x emissions in China: historical trends and future perspectives , 2013 .

[21]  Alan D. Lopez,et al.  Rapid health transition in China, 1990–2010: findings from the Global Burden of Disease Study 2010 , 2013, The Lancet.

[22]  Guofeng Shen,et al.  Temporal and spatial trends of residential energy consumption and air pollutant emissions in China , 2013 .

[23]  K. Sun,et al.  Global atmospheric emissions of polycyclic aromatic hydrocarbons from 1960 to 2008 and future predictions. , 2013, Environmental science & technology.

[24]  Bernadette A. Thomas,et al.  Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 , 2012, The Lancet.

[25]  Alan D. Lopez,et al.  A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 , 2012, The Lancet.

[26]  K. Seto,et al.  Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools , 2012, Proceedings of the National Academy of Sciences.

[27]  Yan Lu,et al.  Black carbon emissions in China from 1949 to 2050. , 2012, Environmental science & technology.

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

[29]  Yan Lu,et al.  Global emission of black carbon from motor vehicles from 1960 to 2006. , 2012, Environmental science & technology.

[30]  Qiang Zhang,et al.  Sulfur dioxide and primary carbonaceous aerosol emissions in China and India, 1996-2010 , 2011 .

[31]  Shu Tao,et al.  Sulfur dioxide emissions from combustion in china: from 1990 to 2007. , 2011, Environmental science & technology.

[32]  David G. Streets,et al.  Primary anthropogenic aerosol emission trends for China, 1990–2005 , 2011 .

[33]  K. Chan The household registration system and migrant labor in China: notes on a debate. , 2010, Population and development review.

[34]  Mikhail Zhizhin,et al.  A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data , 2009 .

[35]  Govinda R. Timilsina,et al.  A Review of Regulatory Instruments to Control Environmental Externalities from the Transport Sector , 2009 .

[36]  C. Chan,et al.  Air pollution in mega cities in China , 2008 .

[37]  H. Akimoto,et al.  An Asian emission inventory of anthropogenic emission sources for the period 1980-2020 , 2007 .

[38]  K. Chan,et al.  Misconceptions and Complexities in the Study of China's Cities: Definitions, Statistics, and Implications , 2007 .

[39]  Tami C. Bond,et al.  Historical emissions of black and organic carbon aerosol from energy‐related combustion, 1850–2000 , 2007 .

[40]  Kirk R. Smith,et al.  Household Air Pollution from Coal and Biomass Fuels in China: Measurements, Health Impacts, and Interventions , 2007, Environmental health perspectives.

[41]  T. R. Jackson China's one-child family policy. , 2006, The New England journal of medicine.

[42]  Xiubing Li,et al.  Urban land expansion and arable land loss in China - a case study of Beijing-Tianjin-Hebei region , 2005 .

[43]  Georg A. Grell,et al.  Fully coupled “online” chemistry within the WRF model , 2005 .

[44]  Xiangzheng Deng,et al.  Numerical Simulation of Population Distribution in China , 2003 .

[45]  Laurence J. C. Ma,et al.  China's Urbanization Levels: Reconstructing a Baseline from the Fifth Population Census , 2003, The China Quarterly.

[46]  Xiao-Hua Zhou,et al.  Confidence intervals for the log-normal mean . , 1997, Statistics in medicine.

[47]  A. Bouwman,et al.  Emission database for global atmospheric research (Edgar) , 1994, Environmental monitoring and assessment.