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1Managed by UT-Battelle for the U.S. Department of Energy 1 by John Storey, Vitaly Prikhodko, MengDawn Cheng Oak Ridge National Laboratory, Oak Ridge,

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Presentation on theme: "1Managed by UT-Battelle for the U.S. Department of Energy 1 by John Storey, Vitaly Prikhodko, MengDawn Cheng Oak Ridge National Laboratory, Oak Ridge,"— Presentation transcript:

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2 1Managed by UT-Battelle for the U.S. Department of Energy 1 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 U.S. Department of Energy Arctic Black Carbon Project

3 2Managed by UT-Battelle for the U.S. Department of Energy 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 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

4 3Managed by UT-Battelle for the U.S. Department of Energy 3 The Atmospheric Research Component Emissions Inventories – data from scientific literature, inventory reports, industry reports, dataset documentation Spatially allocated BC concentrations (to ~ 10 km) Emission Inventory +Transport Modeling time Probable source location of BC emissions (to < 250km) Observations of BC (or BC proxy) at specific monitoring sites. Back Trajectory Modeling Russia Energy & Emission Scenario Tool – energy use data by fuel, sector and region from SRI collaboration Tableau Geospatial Visualization tool

5 4Managed by UT-Battelle for the U.S. Department of Energy 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

6 5Managed by UT-Battelle for the U.S. Department of Energy 5 Monitoring Stations for Back Trajectory Modeling wikipedia.com 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

7 6Managed by UT-Battelle for the U.S. Department of Energy 6 Alert Black Carbon data 2000-2006 The concentrations are very seasonally dependent due to changes in wind patterns and emissions Pulsating Nature of Arctic Transport

8 7Managed by UT-Battelle for the U.S. Department of Energy 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.

9 8Managed by UT-Battelle for the U.S. Department of Energy 8 The autumn cluster The winter cluster Trajectory Clusters

10 9Managed by UT-Battelle for the U.S. Department of Energy 9 The spring cluster Trajectory Clusters

11 10Managed by UT-Battelle for the U.S. Department of Energy 10 Variation by season, and year observed Alert Station maps, for 2000, 2001, and 2002

12 11Managed by UT-Battelle for the U.S. Department of Energy 11 Geographical Locations of BC Emission Sources in Russia – at Alert Station, 2000-2006 Alert, Canada, 2004 Composite Alert

13 12Managed by UT-Battelle for the U.S. Department of Energy 12 Comparing maps for BC and SO 4 = Alert Station Data Sulfate associated with fossil fuel combustion The red circles show areas that have both high sulfate and high black carbon BC Sulfate

14 13Managed by UT-Battelle for the U.S. Department of Energy 13 Location of Power Plants from CARMA

15 14Managed by UT-Battelle for the U.S. Department of Energy 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

16 15Managed by UT-Battelle for the U.S. Department of Energy 15 Acknowledgements 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.

17 16Managed by UT-Battelle for the U.S. Department of Energy 16 Extra slides

18 17Managed by UT-Battelle for the U.S. Department of Energy 17 Tiksi Bay 2009-2012

19 18Managed by UT-Battelle for the U.S. Department of Energy 18 Geographical Locations of BC Emission Sources in Russia – at Tiksi Bay 2009-2011 Tiksi Bay, 2009-2011 Composite Alert Tiksi

20 19Managed by UT-Battelle for the U.S. Department of Energy 19 Variation by season, and year observed Tiksi Bay Station maps, for 2009, 2010, and 2011


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