A spatially and temporally explicit life cycle inventory of air pollutants from gasoline and ethanol in the United States.

The environmental health impacts of transportation depend in part on where and when emissions occur during fuel production and combustion. Here we describe spatially and temporally explicit life cycle inventories (LCI) of air pollutants from gasoline, ethanol derived from corn grain, and ethanol from corn stover. Previous modeling for the U.S. by Argonne National Laboratory (GREET: Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation) suggested that life cycle emissions are generally higher for ethanol from corn grain or corn stover than for gasoline. Our results show that for ethanol, emissions are concentrated in the Midwestern "Corn Belt". We find that life cycle emissions from ethanol exhibit different temporal patterns than from gasoline, reflecting seasonal aspects of farming activities. Enhanced chemical speciation beyond current GREET model capabilities is also described. Life cycle fine particulate matter emissions are higher for ethanol from corn grain than for ethanol from corn stover; for black carbon, the reverse holds. Overall, our results add to existing state-of-the-science transportation fuel LCI by providing spatial and temporal disaggregation and enhanced chemical speciation, thereby offering greater understanding of the impacts of transportation fuels on human health and opening the door to advanced air dispersion modeling of fuel life cycles.

[1]  Robert Ries,et al.  Spatial and Temporal Life Cycle Assessment: Ozone Formation Potential from Natural Gas Use in a Typical Residential Building in Pittsburgh, USA , 2009 .

[2]  Corinne Le Quéré,et al.  Climate Change 2013: The Physical Science Basis , 2013 .

[3]  Andrew D. Jones,et al.  Effects of US Maize Ethanol on Global Land Use and Greenhouse Gas Emissions: Estimating Market-Mediated Responses , 2010 .

[4]  J. Marshall,et al.  Response to comment on "Natural and anthropogenic ethanol sources in North America and potential atmospheric impacts of ethanol fuel use". , 2013, Environmental science & technology.

[5]  Manuele Margni,et al.  Spatial variability of intake fractions for Canadian emission scenarios: a comparison between three resolution scales. , 2010, Environmental science & technology.

[6]  S. Polasky,et al.  Land Clearing and the Biofuel Carbon Debt , 2008, Science.

[7]  D. Dockery,et al.  Health Effects of Fine Particulate Air Pollution: Lines that Connect , 2006, Journal of the Air & Waste Management Association.

[8]  Jacinto F. Fabiosa,et al.  Use of U.S. Croplands for Biofuels Increases Greenhouse Gases Through Emissions from Land-Use Change , 2008, Science.

[9]  Michael Brauer,et al.  Intake fraction of urban wood smoke. , 2009, Environmental science & technology.

[10]  G. Norris Impact Characterization in the Tool for the Reduction and Assessment of Chemical and Other Environmental Impacts , 2002 .

[11]  Shahabaddine Sokhansanj,et al.  Engineering aspects of collecting corn stover for bioenergy , 2002 .

[12]  Stephen Polasky,et al.  Climate change and health costs of air emissions from biofuels and gasoline , 2009, Proceedings of the National Academy of Sciences.

[13]  R. Betts,et al.  Changes in Atmospheric Constituents and in Radiative Forcing. Chapter 2 , 2007 .

[14]  William W. Nazaroff,et al.  Global Intraurban Intake Fractions for Primary Air Pollutants from Vehicles and Other Distributed Sources , 2012, Environmental science & technology.

[15]  Gregory R. Carmichael,et al.  Increased estimates of air-pollution emissions from Brazilian sugar-cane ethanol , 2012 .

[16]  S. Polasky,et al.  Environmental, economic, and energetic costs and benefits of biodiesel and ethanol biofuels. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[17]  Kristen Averyt,et al.  Climate change 2007: Synthesis Report. Contribution of Working Group I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers. , 2007 .

[18]  Jimmy R. Williams,et al.  An integrative modeling framework to evaluate the productivity and sustainability of biofuel crop production systems , 2010 .

[19]  P. Bhave,et al.  The development and uses of EPA’s SPECIATE database , 2010 .

[20]  R. Burnett,et al.  Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. , 2002, JAMA.

[21]  R. Mueller,et al.  The 2009 Cropland Data Layer. , 2010 .

[22]  Daniel M. Kammen,et al.  Accounting for the water impacts of ethanol production , 2010 .

[23]  Ye Wu,et al.  Total versus urban: Well-to-wheels assessment of criteria pollutant emissions from various vehicle/fuel systems , 2009 .

[24]  Michael Zwicky Hauschild,et al.  Spatial differentiation in life cycle impact assessment - the EDIP-2003 methodology. Guidelines from the Danish EPA , 2004 .

[25]  Andrew D. Jones,et al.  Supporting Online Material for: Ethanol Can Contribute To Energy and Environmental Goals , 2006 .

[26]  M. Raugei,et al.  A novel approach to the problem of geographic allocation of environmental impact in Life Cycle Assessment and Material Flow Analysis , 2009 .

[27]  Kazuhiko Ito,et al.  Long-term ozone exposure and mortality. , 2009, The New England journal of medicine.

[28]  R. Ries,et al.  A characterization model with spatial and temporal resolution for life cycle impact assessment of photochemical precursors in the United States , 2009 .

[29]  A. Horvath,et al.  Intake fraction for particulate matter: recommendations for life cycle impact assessment. , 2011, Environmental science & technology.

[30]  A. Horvath,et al.  Grand challenges for life-cycle assessment of biofuels. , 2011, Environmental science & technology.

[31]  Catherine A Yanca,et al.  Air quality impacts of increased use of ethanol under the United States’ Energy Independence and Security Act , 2011 .

[32]  Frank W. Davis,et al.  Coupling GIS and LCA for biodiversity assessments of land use , 2010 .

[33]  O. Jolliet,et al.  The role of atmospheric dispersion models and ecosystem sensitivity in the determination of characterisation factors for acidifying and eutrophying emissions in LCIA , 2008 .

[34]  F. Dominici,et al.  Ozone and short-term mortality in 95 US urban communities, 1987-2000. , 2004, JAMA.

[35]  Cliff I. Davidson,et al.  An ammonia emission inventory for fertilizer application in the United States , 2003 .

[36]  R. Heijungs,et al.  GLOBOX: A spatially differentiated global fate, intake and effect model for toxicity assessment in LCA. , 2010, The Science of the total environment.

[37]  W. Rea,et al.  Adverse health effects of outdoor air pollutants. , 2006, Environment international.

[38]  John J. Reap,et al.  A survey of unresolved problems in life cycle assessment , 2008 .

[39]  O. Jolliet,et al.  Multimedia fate and human intake modeling: spatial versus nonspatial insights for chemical emissions in Western Europe. , 2005, Environmental science & technology.

[40]  Giovanna Berti,et al.  Short-Term Effects of Nitrogen Dioxide on Mortality and Susceptibility Factors in 10 Italian Cities: The EpiAir Study , 2011, Environmental health perspectives.

[41]  Stefanie Hellweg,et al.  GIS-based regionalized life cycle assessment: how big is small enough? Methodology and case study of electricity generation. , 2012, Environmental science & technology.

[42]  Patrick Rousseaux,et al.  USEtox relevance as an impact indicator for automotive fuels. Application on diesel fuel, gasoline and hard coal electricity , 2011 .