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U.S. Department of Energy Arctic Black Carbon Project by John Storey, Vitaly Prikhodko, MengDawn Cheng Oak Ridge National Laboratory, Oak Ridge, TN Kan Huang and Joshua Fu University of Tennessee, Knoxville, TN Elke Hodson and Joseph Cresko


  1. U.S. Department of Energy Arctic Black Carbon Project by John Storey, Vitaly Prikhodko, MengDawn Cheng Oak Ridge National Laboratory, Oak Ridge, TN Kan Huang and Joshua Fu University of Tennessee, Knoxville, TN Elke Hodson and Joseph Cresko Department of Energy, Washington, DC Presentation for the TFEIP/USEPA/USDOE Workshop on Arctic Black Carbon Milan, Italy May 13,2015 1 Managed by UT-Battelle for the U.S. Department of Energy 1

  2. Arctic Black Carbon Initiative: Copenhagen Summit, December 2009 • Arctic BC Initiative goals : 1) Fill information gaps 2) Identify implementation barriers and develop approaches to overcome them 3) Demonstrate and evaluate technological and non-technological mitigation options 4) Where possible, to lay the groundwork to quantify the climate and public health benefits of black carbon mitigation strategies • Sources of Arctic BC 1) Typically, fossil fuel combustion sources above 40°N latitude 2) Russian sources may represent as much as half of all BC sources above 60°N • Basis for Research: BC emissions in or near the Arctic have larger warming effect than other climate forcers - U.S. Environmental Protection Agency – BC emissions from diesel & transportation - U.S. Department of Agriculture – BC emissions from agriculture burning - U.S. Department of Energy Project: Focus on industrial and heat and power sources of BC Funding for all three projects from the Department of State 2 Managed by UT-Battelle for the U.S. Department of Energy 2

  3. The Atmospheric Research Component Back Trajectory Modeling Observations of BC (or BC Probable source location of proxy) at specific BC emissions (to < 250km) monitoring sites. Emission Inventory +Transport Modeling Emissions Inventories – data from Spatially allocated BC scientific literature, inventory concentrations (to ~ 10 reports, industry reports, dataset km) documentation Russia Energy & Emission Scenario Tool – Tableau Geospatial energy use data by fuel, sector and region Visualization tool from SRI collaboration time 3 Managed by UT-Battelle for the U.S. Department of Energy 3

  4. Objectives of Potential Source Contribution Function (PSCF) Modeling • To provide mitigation strategies by utilizing environmental observations • To identify geographical location of sources of ABC emissions using reversed engineering approach – Based on environmental data (transport, physical and chemical characterization, etc.) – Reconstructing source distribution at multiple scales • To resolve atmospheric transport pattern of ABC – Short- and long-term cycles (HF and LF components) – Effects connecting multiple time and space scales 4 Managed by UT-Battelle for the U.S. Department of Energy 4

  5. Monitoring Stations for Back Trajectory Modeling Environmental data observation sites Alert Station: Multiple PM • species , aethalometer for BC, multiple years • Tiksi Bay, relatively new at the time, uncharacterized local sources, no other species at time • Barrow – only PM, no BC wikipedia.com 5 Managed by UT-Battelle for the U.S. Department of Energy 5

  6. Pulsating Nature of Arctic Transport Alert Black Carbon data 2000-2006 • The concentrations are very seasonally dependent 6 Managed by UT-Battelle due to changes in wind patterns and emissions for the U.S. Department of Energy 6

  7. Potential Source Contribution Function (PSCF) • A synthetic probability field describing the source strength of a geographical area (i.e., a grid cell) • Combine pollutant chemistry data taken at ambient sites (receptors) with back trajectory data – First analyze receptor pollutant time series to determine source signal – Fuse “signals” with calculated back trajectory over the time domain • A PSCF value > 0.6 indicates a likelihood of a grid cell being an emission source, < 0.2 indicates a low probability. 7 Managed by UT-Battelle for the U.S. Department of Energy 7

  8. Trajectory Clusters The autumn cluster The winter cluster 8 Managed by UT-Battelle for the U.S. Department of Energy 8

  9. Trajectory Clusters The spring cluster 9 Managed by UT-Battelle for the U.S. Department of Energy 9

  10. Variation by season, and year observed Alert Station maps, for 2000, 2001, and 2002 10 Managed by UT-Battelle for the U.S. Department of Energy 10

  11. Geographical Locations of BC Emission Sources in Russia – at Alert Station, 2000-2006 Alert Alert, Canada, 2004 Composite 11 Managed by UT-Battelle for the U.S. Department of Energy 11

  12. = Comparing maps for BC and SO 4 BC • Alert Station Data • Sulfate associated with fossil fuel combustion Sulfate • The red circles show areas that have both high sulfate and high black carbon 12 Managed by UT-Battelle for the U.S. Department of Energy 12

  13. Location of Pow er Plants from CARMA 13 Managed by UT-Battelle for the U.S. Department of Energy 13

  14. Summary • Backward trajectory modeling has been used to identify Potential Source Contribution Functions (PSCF) for black carbon in the Russian Federation – Areas south of Moscow including Moscow consistently strong (higher population density) – Urals mountains (industry, oil/gas flaring, biomass burning in season) – Areas in Eastern Siberia (biomass burning, power plants) • Geo-location results of sources consistent for both Canadian and Russian receptors, with growing number of sources over time Atmos. Env . 92 (2014) 398-410 http://dx.doi.org/10.1016/j.atmosenv.2014.04.031 14 Managed by UT-Battelle for the U.S. Department of Energy 14

  15. Acknow ledgements • Funding support by State Department Climate Change Assistance Programs, DOE Energy Efficiency and Renewable Energy Office • Computational support at Oak Ridge National Laboratory • Sangeta Sharma of Environment Canada on Alert Station Data • Taneil Uttal of NOAA on Tiksi Bay Station Data • Patricia Quinn of NAA on Barrow NOAA/ARM Data • SRI Atmosphere for providing critical inventory data to this project • Colleagues at US Forest Fire Services (WM Hao) and US EPA (T Kuklinski) for discussion • Oak Ridge National Laboratory, Oak Ridge, Tennessee is managed by UT-Battelle, LLC, for the U.S. Department of Energy under contract DE-AC05-00OR22725. 15 Managed by UT-Battelle for the U.S. Department of Energy 15

  16. Extra slides 16 Managed by UT-Battelle for the U.S. Department of Energy 16

  17. Tiksi Bay 2009-2012 17 Managed by UT-Battelle for the U.S. Department of Energy 17

  18. Geographical Locations of BC Emission Sources in Russia – at Tiksi Bay 2009-2011 Alert Tiksi Tiksi Bay, 2009-2011 Composite 18 Managed by UT-Battelle for the U.S. Department of Energy 18

  19. Variation by season, and year observed Tiksi Bay Station maps, for 2009, 2010, and 2011 19 Managed by UT-Battelle for the U.S. Department of Energy 19

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