SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications

Abstract. Ground-based observations have insufficient spatial coverage to assess long-term human exposure to fine particulate matter (PM2.5) at the global scale. Satellite remote sensing offers a promising approach to provide information on both short- and long-term exposure to PM2.5 at local-to-global scales, but there are limitations and outstanding questions about the accuracy and precision with which ground-level aerosol mass concentrations can be inferred from satellite remote sensing alone. A key source of uncertainty is the global distribution of the relationship between annual average PM2.5 and discontinuous satellite observations of columnar aerosol optical depth (AOD). We have initiated a global network of ground-level monitoring stations designed to evaluate and enhance satellite remote sensing estimates for application in health-effects research and risk assessment. This Surface PARTiculate mAtter Network (SPARTAN) includes a global federation of ground-level monitors of hourly PM2.5 situated primarily in highly populated regions and collocated with existing ground-based sun photometers that measure AOD. The instruments, a three-wavelength nephelometer and impaction filter sampler for both PM2.5 and PM10, are highly autonomous. Hourly PM2.5 concentrations are inferred from the combination of weighed filters and nephelometer data. Data from existing networks were used to develop and evaluate network sampling characteristics. SPARTAN filters are analyzed for mass, black carbon, water-soluble ions, and metals. These measurements provide, in a variety of regions around the world, the key data required to evaluate and enhance satellite-based PM2.5 estimates used for assessing the health effects of aerosols. Mean PM2.5 concentrations across sites vary by more than 1 order of magnitude. Our initial measurements indicate that the ratio of AOD to ground-level PM2.5 is driven temporally and spatially by the vertical profile in aerosol scattering. Spatially this ratio is also strongly influenced by the mass scattering efficiency.

[1]  J C Chow,et al.  Measurement methods to determine compliance with ambient air quality standards for suspended particles. , 1995, Journal of the Air & Waste Management Association.

[2]  S. Christopher,et al.  Remote Sensing of Particulate Pollution from Space: Have We Reached the Promised Land? , 2009, Journal of the Air & Waste Management Association.

[3]  J. Schwartz,et al.  Reduction in fine particulate air pollution and mortality: Extended follow-up of the Harvard Six Cities study. , 2006, American journal of respiratory and critical care medicine.

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

[5]  J. P. Bell,et al.  A two stage respirable aerosol sampler using nuclepore filters in series. , 1977, Atmospheric environment.

[6]  K. Demerjian,et al.  New York State Urban and Rural Measurements of Continuous PM2.5 Mass by FDMS, TEOM, and BAM , 2006, Journal of the Air & Waste Management Association.

[7]  Sachchida N. Tripathi,et al.  Modeling optical properties of mineral dust over the Indian Desert , 2008 .

[8]  M. Heal,et al.  The spatial and seasonal variation of nitrogen dioxide and sulfur dioxide in Cape Breton Highlands National Park, Canada, and the association with lichen abundance , 2013 .

[9]  Y. J. Kim,et al.  Stabilization of the Mass Absorption Cross Section of Black Carbon for Filter-Based Absorption Photometry by the use of a Heated Inlet , 2009 .

[10]  Winston Harrington,et al.  Quantifying the human health benefits of air pollution policies: Review of recent studies and new directions in accountability research , 2011 .

[11]  Paul Quincey,et al.  An evaluation of measurement methods for organic, elemental and black carbon in ambient air monitoring sites , 2009 .

[12]  David J. Diner,et al.  Aerosol Data Sources and Their Roles within PARAGON , 2004 .

[13]  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.

[14]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

[15]  Jenny L. Hand,et al.  Seasonal composition of remote and urban fine particulate matter in the United States , 2012 .

[16]  S. Schwartz,et al.  Apportionment of light scattering and hygroscopic growth to aerosol composition , 1998 .

[17]  J. Heinrich,et al.  PM25 measurements in ambient aerosol: comparison between Harvard impactor (HI) and the tapered element oscillating microbalance (TEOM) system. , 2001, The Science of the total environment.

[18]  E. Vermote,et al.  The MODIS Aerosol Algorithm, Products, and Validation , 2005 .

[19]  L. Horowitz,et al.  Impacts of 21st century climate change on global air pollution-related premature mortality , 2013, Climatic Change.

[20]  P. Palmer,et al.  1 Identifying the sources driving observed PM 2 . 5 temporal variability over Halifax , Nova Scotia , during BORTAS-B , 2013 .

[21]  P. Ceccato,et al.  GEO Task US-09-01a: Critical Earth Observations Priorities , 2010 .

[22]  A. Nenes,et al.  Mixing state and compositional effects on CCN activity and droplet growth kinetics of size-resolved CCN in an urban environment , 2011 .

[23]  Balakrishnaiah Gugamsetty,et al.  Differences in 24-h average PM2.5 concentrations between the beta attenuation monitor (BAM) and the dichotomous sampler (Dichot) , 2013 .

[24]  Yang Liu,et al.  Limitations of Remotely Sensed Aerosol as a Spatial Proxy for Fine Particulate Matter , 2009, Environmental health perspectives.

[25]  J. Ackermann The Extinction-to-Backscatter Ratio of Tropospheric Aerosol: A Numerical Study , 1998 .

[26]  N. Z. Heidam Review: Aerosol fractionation by sequential filtration with nuclepore filters , 1981 .

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

[28]  S. Hering,et al.  Characteristics of Nuclepore filters with large pore size—II. Filtration properties , 1983 .

[29]  M. Heal,et al.  Quantifying the Spatial and Temporal Variation of Ground-Level Ozone in the Rural Annapolis Valley, Nova Scotia, Canada Using Nitrite-Impregnated Passive Samplers , 2009, Journal of the Air & Waste Management Association.

[30]  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.

[31]  M. Brauer,et al.  A spatial model of urban winter woodsmoke concentrations. , 2007, Environmental science & technology.

[32]  M. Petters,et al.  Single-parameter estimates of aerosol water content , 2008 .

[33]  T. Eck,et al.  Verification and application of the extended spectral deconvolution algorithm (SDA+) methodology to estimate aerosol fine and coarse mode extinction coefficients in the marine boundary layer , 2014 .

[34]  T I M O T H Y L A R S O N,et al.  A Spatial Model of Urban Winter Woodsmoke Concentrations , 2022 .

[35]  M. Goldberg,et al.  A Systematic Review of the Relation Between Long-term Exposure to Ambient Air Pollution and Chronic Diseases , 2008, Reviews on environmental health.

[36]  Rudolf B. Husar,et al.  Distribution of continental surface aerosol extinction based on visual range data , 2000 .

[37]  Jack J. Lin,et al.  Composition and hygroscopicity of the Los Angeles Aerosol: CalNex , 2013 .

[38]  J. Jason West,et al.  An Estimate of the Global Burden of Anthropogenic Ozone and Fine Particulate Matter on Premature Human Mortality Using Atmospheric Modeling , 2010, Environmental health perspectives.

[39]  A Novel Multifilter PM10–PM2.5 Sampler (MFPPS) , 2011 .

[40]  David M. Winker,et al.  Mesoscale Variations of Tropospheric Aerosols , 2003 .

[41]  Gavin King,et al.  Identifying the sources driving observed PM 2.5 temporal variability over Halifax, Nova Scotia, during BORTAS-B , 2013 .

[42]  V. Celo,et al.  Validation of a Simple Microwave-Assisted Acid Digestion Method Using Microvessels for Analysis of Trace Elements in Atmospheric PM2.5 in Monitoring and Fingerprinting Studies , 2010 .

[43]  M. Gibson,et al.  A comparison of four receptor models used to quantify the boreal wildfire smoke contribution to surface PM 2.5 in Halifax, Nova Scotia during the BORTAS-B experiment , 2014 .

[44]  Sheldon Landsberger,et al.  Characterization of the Gent Stacked Filter Unit PM10 Sampler , 1997 .

[45]  N. Motallebi,et al.  Particulate Matter in California: Part 1—Intercomparison of Several PM2.5, PM10–2.5, and PM10 Monitoring Networks , 2003, Journal of the Air & Waste Management Association.

[46]  J. West,et al.  The effect of grid resolution on estimates of the burden of ozone and fine particulate matter on premature mortality in the USA , 2013, Air Quality, Atmosphere & Health.

[47]  Timo Mäkelä,et al.  Intercomparison of methods to measure the mass concentration of the atmospheric aerosol during INTERCOMP2000: influence of instrumentation and size cuts , 2004 .

[48]  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.

[49]  Morton Lippmann,et al.  Toxicological and epidemiological studies of cardiovascular effects of ambient air fine particulate matter (PM2.5) and its chemical components: Coherence and public health implications , 2014, Critical reviews in toxicology.

[50]  Petros Koutrakis,et al.  Method Comparisons for Particulate Nitrate, Elemental Carbon, and PM2.5 Mass in Seven U.S. Cities , 2000, Journal of the Air & Waste Management Association.

[51]  Bert Brunekreef,et al.  Comparison between different traffic-related particle indicators: Elemental carbon (EC), PM2.5 mass, and absorbance , 2003, Journal of Exposure Analysis and Environmental Epidemiology.

[52]  Li Chen,et al.  Receptor modeling of PM2.5, PM10 and TSP in different seasons and long-range transport analysis at a coastal site of Tianjin, China. , 2010, The Science of the total environment.

[53]  B. Doddridge,et al.  A side-by-side comparison of filter-based PM2.5 measurements at a suburban site: A closure study , 2007 .

[54]  J. Chow,et al.  Comparison of Particle Light Scattering and Fine Particulate Matter Mass in Central California , 2006, Journal of the Air & Waste Management Association.