Use of Satellite Observations for Long-Term Exposure Assessment of Global Concentrations of Fine Particulate Matter

Background: More than a decade of satellite observations offers global information about the trend and magnitude of human exposure to fine particulate matter (PM2.5). Objective: In this study, we developed improved global exposure estimates of ambient PM2.5 mass and trend using PM2.5 concentrations inferred from multiple satellite instruments. Methods: We combined three satellite-derived PM2.5 sources to produce global PM2.5 estimates at about 10 km × 10 km from 1998 through 2012. For each source, we related total column retrievals of aerosol optical depth to near-ground PM2.5 using the GEOS–Chem chemical transport model to represent local aerosol optical properties and vertical profiles. We collected 210 global ground-based PM2.5 observations from the literature to evaluate our satellite-based estimates with values measured in areas other than North America and Europe. Results: We estimated that global population-weighted ambient PM2.5 concentrations increased 0.55 μg/m3/year (95% CI: 0.43, 0.67) (2.1%/year; 95% CI: 1.6, 2.6) from 1998 through 2012. Increasing PM2.5 in some developing regions drove this global change, despite decreasing PM2.5 in some developed regions. The estimated proportion of the population of East Asia living above the World Health Organization (WHO) Interim Target-1 of 35 μg/m3 increased from 51% in 1998–2000 to 70% in 2010–2012. In contrast, the North American proportion above the WHO Air Quality Guideline of 10 μg/m3 fell from 62% in 1998–2000 to 19% in 2010–2012. We found significant agreement between satellite-derived estimates and ground-based measurements outside North America and Europe (r = 0.81; n = 210; slope = 0.68). The low bias in satellite-derived estimates suggests that true global concentrations could be even greater. Conclusions: Satellite observations provide insight into global long-term changes in ambient PM2.5 concentrations. Satellite-derived estimates and ground-based PM2.5 observations from this study are available for public use. Citation: van Donkelaar A, Martin RV, Brauer M, Boys BL. 2015. Use of satellite observations for long-term exposure assessment of global concentrations of fine particulate matter. Environ Health Perspect 123:135–143; http://dx.doi.org/10.1289/ehp.1408646

[1]  D. Dockery,et al.  An association between air pollution and mortality in six U.S. cities. , 1993, The New England journal of medicine.

[2]  T. Eck,et al.  An emerging ground-based aerosol climatology: Aerosol optical depth from AERONET , 2001 .

[3]  Kebin He,et al.  The characteristics of PM2.5 in Beijing, China , 2001 .

[4]  Kathleen A. Crean,et al.  Regional aerosol retrieval results from MISR , 2002, IEEE Trans. Geosci. Remote. Sens..

[5]  Andrew D. Maynard,et al.  A derived association between ambient aerosol surface area and excess mortality using historic time series data , 2002 .

[6]  Mian Chin,et al.  Sources of carbonaceous aerosols over the United States and implications for natural visibility , 2003 .

[7]  Y. J. Kim,et al.  Carbonaceous aerosol characteristics of PM2.5 particles in Northeastern Asia in summer 2002 , 2004 .

[8]  D. Jacob,et al.  Mapping annual mean ground‐level PM2.5 concentrations using Multiangle Imaging Spectroradiometer aerosol optical thickness over the contiguous United States , 2004 .

[9]  M. Chin,et al.  Natural and transboundary pollution influences on sulfate‐nitrate‐ammonium aerosols in the United States: Implications for policy , 2004 .

[10]  Zifa Wang,et al.  The air-borne particulate pollution in Beijing—concentration, composition, distribution and sources , 2004 .

[11]  K. He,et al.  Characterization of atmospheric mineral components of PM2.5 in Beijing and Shanghai, China. , 2005, The Science of the total environment.

[12]  Li Wenqing,et al.  Seasonal variations of number size distributions and mass concentrations of atmospheric particles in Beijing , 2005 .

[13]  Ying Wang,et al.  The ion chemistry and the source of PM2.5 aerosol in Beijing , 2005 .

[14]  Zifa Wang,et al.  Local and non-local sources of airborne particulate pollution at Beijing , 2005 .

[15]  Kathleen A. Crean,et al.  Multiangle imaging spectroradiometer (MISR) global aerosol optical depth validation based on 2 years of coincident Aerosol Robotic Network (AERONET) observations : Global aerosol system , 2005 .

[16]  G. Oberdörster,et al.  Nanotoxicology: An Emerging Discipline Evolving from Studies of Ultrafine Particles , 2005, Environmental health perspectives.

[17]  J. Muller,et al.  The value of multiangle measurements for retrieving structurally and radiatively consistent properties of clouds, aerosols, and surfaces , 2005 .

[18]  G. Zhuang,et al.  Concentration characteristics of extractable organohalogens in PM2.5 and PM10 in Beijing, China , 2005 .

[19]  J. Schauer,et al.  Seasonal trends in PM2.5 source contributions in Beijing, China , 2005 .

[20]  R. Martin,et al.  Estimating ground-level PM2.5 using aerosol optical depth determined from satellite remote sensing , 2006 .

[21]  Yu Song,et al.  Source apportionment of PM2.5 in Beijing using principal component analysis/absolute principal component scores and UNMIX. , 2006, The Science of the total environment.

[22]  Nghiem Trung Dung,et al.  Particulate air pollution in six Asian cities: Spatial and temporal distributions, and associated sources , 2006 .

[23]  Hui Yuan,et al.  Source apportionment for urban PM10 and PM2.5 in the Beijing area , 2007 .

[24]  E. Vermote,et al.  Second‐generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance , 2007 .

[25]  Daniel J. Jacob,et al.  The impact of transpacific transport of mineral dust in the United States , 2007 .

[26]  Oleg Dubovik,et al.  Global aerosol optical properties and application to Moderate Resolution Imaging Spectroradiometer aerosol retrieval over land , 2007 .

[27]  G. Zhuang,et al.  Characteristics and sources of formic;acetic and oxalic acids in PM2.5 and PM10 aerosols in Beijing;China , 2007 .

[28]  Shaodong Xie,et al.  Source apportionment of PM2.5 in Beijing in 2004. , 2007, Journal of hazardous materials.

[29]  John H. Seinfeld,et al.  Global modeling of secondary organic aerosol formation from aromatic hydrocarbons: high- vs. low-yield pathways , 2007 .

[30]  Naresh Kumar,et al.  An empirical relationship between PM(2.5) and aerosol optical depth in Delhi Metropolitan. , 2007, Atmospheric environment.

[31]  Yoram J. Kaufman,et al.  An Emerging Global Aerosol Climatology from the MODIS Satellite Sensors , 2008 .

[32]  M. Srivastava,et al.  Chemical Characteristics of Water Soluble Components of Fine Particulate Matter, PM 2.5 , at Delhi, India , 2008 .

[33]  Mohd Suhaimi Hamzah,et al.  Urban air quality in the Asian region. , 2008, The Science of the total environment.

[34]  P. Koutrakis,et al.  Characterization of Particulate Matter for Three Sites in Kuwait , 2008, Journal of the Air & Waste Management Association.

[35]  Majid Ezzati,et al.  Fine-particulate air pollution and life expectancy in the United States. , 2009, The New England journal of medicine.

[36]  Tao Wang,et al.  Measurement of black carbon aerosols near two Chinese megacities and the implications for improving emission inventories , 2009 .

[37]  Z. Bai,et al.  Characteristics of organic and elemental carbon in atmospheric fine particles in Tianjin, China , 2009 .

[38]  M. Srivastava,et al.  Black carbon and chemical characteristics of PM10 and PM2.5 at an urban site of North India , 2009 .

[39]  David J. Diner,et al.  Retrieval of aerosol properties over land using MISR observations , 2009 .

[40]  Lorraine Remer,et al.  MISR Aerosol Product Attributes and Statistical Comparisons With MODIS , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[41]  W. Meng,et al.  Seasonal and diurnal variations of ambient PM2.5 concentration in urban and rural environments in Beijing , 2009 .

[42]  Xiaoke Wang,et al.  Characterization of PM2.5/PM2.5–10 and source tracking in the juncture belt between urban and rural areas of Beijing , 2009 .

[43]  Li Chen,et al.  Characteristics of Major PM2.5 Components during Winter in Tianjin, China , 2009 .

[44]  Dongqun Xu,et al.  Sources of aerosol as determined from elemental composition and size distributions in Beijing , 2010 .

[45]  Z. Bai,et al.  Characterization of Atmospheric Organic Carbon and Element Carbon of PM2.5 and PM10 at Tianjin, China , 2010 .

[46]  Larry Di Girolamo,et al.  A climatology of aerosol optical and microphysical properties over the Indian subcontinent from 9 years (2000–2008) of Multiangle Imaging Spectroradiometer (MISR) data , 2010 .

[47]  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.

[48]  Jeffrey S. Reid,et al.  A decadal regional and global trend analysis of the aerosol optical depth using a data-assimilation grade over-water MODIS and Level 2 MISR aerosol products , 2010 .

[49]  J. Stockman,et al.  Fine-Particulate Air Pollution and Life Expectancy in the United States , 2010 .

[50]  Damien Sulla-Menashe,et al.  MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets , 2010 .

[51]  M. Komppula,et al.  Aerosol measurements at the Gual Pahari EUCAARI station: preliminary results from in-situ measurements , 2010 .

[52]  Yang Yu,et al.  Dynamics and origin of PM2.5 during a three-year sampling period in Beijing, China. , 2011, Journal of environmental monitoring : JEM.

[53]  D. Brus,et al.  Effect of the summer monsoon on aerosols at two measurement stations in Northern India – Part 1: PM and BC concentrations , 2011 .

[54]  Stefan Norra,et al.  Temporal variability of trace metal mobility of urban particulate matter from Beijing – A contribution to health impact assessments of aerosols , 2011 .

[55]  Yong-liang Ma,et al.  Spatial and seasonal variability of PM 2.5 acidity at two Chinese megacities: insights into the formation of secondary inorganic aerosols , 2011 .

[56]  K. He,et al.  Characteristics of PM 2.5 speciation in representative megacities and across China , 2011 .

[57]  Bryan A. Franz,et al.  Uncertainty assessment of the SeaWiFS on-orbit calibration , 2011, Optical Engineering + Applications.

[58]  Z. Bai,et al.  Chemical composition of PM2.5 during winter in Tianjin, China , 2011 .

[59]  Tao Wang,et al.  Characteristics of summertime PM2.5 organic and elemental carbon in four major Chinese cities: Implications of high acidity for water-soluble organic carbon (WSOC) , 2011 .

[60]  Amit Kumar Srivastava,et al.  Assessment of air quality during 19th Common Wealth Games at Delhi, India , 2013, Natural Hazards.

[61]  A. Cohen,et al.  Exposure assessment for estimation of the global burden of disease attributable to outdoor air pollution. , 2012, Environmental science & technology.

[62]  Bert Brunekreef,et al.  Satellite-based Estimates of Ambient Air Pollution and Global Variations in Childhood Asthma Prevalence , 2012, Environmental health perspectives.

[63]  R. Gautam,et al.  Global and regional trends of aerosol optical depth over land and ocean using SeaWiFS measurements from 1997 to 2010 , 2012 .

[64]  M. Brauer,et al.  Risk of Nonaccidental and Cardiovascular Mortality in Relation to Long-term Exposure to Low Concentrations of Fine Particulate Matter: A Canadian National-Level Cohort Study , 2012, Environmental health perspectives.

[65]  Li Chen,et al.  Characterization, Meteorological Influences and Source Identification of Carbonaceous Aerosols during the Autumn-winter Period in Tianjin, China , 2012 .

[66]  Amit Kumar Srivastava,et al.  Assessment of carbonaceous aerosol over Delhi in the Indo-Gangetic Basin: characterization, sources and temporal variability , 2013, Natural Hazards.

[67]  Wenche Aas,et al.  Introduction to the European Monitoring and Evaluation Programme (EMEP) and observed atmospheric composition change during 1972–2009 , 2012 .

[68]  Brent N. Holben,et al.  Global and regional evaluation of over-land spectral aerosol optical depth retrievals from SeaWiFS , 2012 .

[69]  Sachchidanand Singh,et al.  Variation between near-surface and columnar aerosol characteristics during the winter and summer at Delhi in the Indo-Gangetic Basin , 2012 .

[70]  Jin Huang,et al.  Enhanced Deep Blue aerosol retrieval algorithm: The second generation , 2013 .

[71]  Renjian Zhang,et al.  Characterization and Source Apportionment of PM2.5 in an Urban Environment in Beijing , 2013 .

[72]  Zbigniew Klimont,et al.  The last decade of global anthropogenic sulfur dioxide: 2000–2011 emissions , 2013 .

[73]  Daniel Krewski,et al.  Estimates of global mortality attributable to particulate air pollution using satellite imagery. , 2013, Environmental research.

[74]  Patrycja Rogula-Kopiec,et al.  Spatial and seasonal variability of the mass concentration and chemical composition of PM2.5 in Poland , 2013, Air Quality, Atmosphere & Health.

[75]  Alexei Lyapustin,et al.  Spatial scales of pollution from variable resolution satellite imaging. , 2013, Environmental pollution.

[76]  S. Sahu,et al.  Spatio-temporal variation and deposition of fine and coarse particles during the Commonwealth Games in Delhi , 2013 .

[77]  Greet Janssens-Maenhout,et al.  Emissions of air pollutants and greenhouse gases over Asian regions during 2000–2008: Regional Emission inventory in ASia (REAS) version 2 , 2013 .

[78]  C. Ichoku,et al.  Coherent uncertainty analysis of aerosol measurements from multiple satellite sensors , 2013 .

[79]  Kees de Hoogh,et al.  Western European land use regression incorporating satellite- and ground-based measurements of NO2 and PM10. , 2013, Environmental science & technology.

[80]  Robert C. Levy,et al.  Optimal estimation for global ground‐level fine particulate matter concentrations , 2013 .

[81]  P. Zhao,et al.  Characteristics of carbonaceous aerosol in the region of Beijing, Tianjin, and Hebei, China , 2013 .

[82]  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.

[83]  Atul Srivastava,et al.  Diurnal and seasonal variations of black carbon and PM2.5 over New Delhi, India: Influence of meteorology , 2013 .

[84]  P. Zhao,et al.  Characteristics of concentrations and chemical compositions for PM 2.5 in the region of Beijing, Tianjin, and Hebei, China , 2013 .

[85]  L. Remer,et al.  The Collection 6 MODIS aerosol products over land and ocean , 2013 .

[86]  David G. Streets,et al.  Multi-decadal aerosol variations from 1980 to 2009: a perspective from observations and a global model , 2014 .

[87]  João Paulo Souza,et al.  Outdoor Air Pollution, Preterm Birth, and Low Birth Weight: Analysis of the World Health Organization Global Survey on Maternal and Perinatal Health , 2014, Environmental health perspectives.

[88]  R. Martin,et al.  Fifteen-year global time series of satellite-derived fine particulate matter. , 2014, Environmental science & technology.