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Assessing the Impacts of Emissions from Oil and Gas Extraction on Urban Ozone and Associated Health Risks Shannon L. Capps 1 , Rene Nsanzineza 1 , Matthew D. Turner 1 , Daven K. Henze 1 , Shunliu Zhao 2 , Matthew G. Russell 2 , Amir Hakami 2 , and


  1. Assessing the Impacts of Emissions from Oil and Gas Extraction on Urban Ozone and Associated Health Risks Shannon L. Capps 1 , Rene Nsanzineza 1 , Matthew D. Turner 1 , Daven K. Henze 1 , Shunliu Zhao 2 , Matthew G. Russell 2 , Amir Hakami 2 , and Jana B. Milford 1

  2. U.S. Energy Sector Shifts & Emissions (U.S. EIA www.eia.gov/electricity/data/browser) volatile organic compounds oxides of nitrogen (VOCs) (NOx) Oil and gas production transportation emits NO x and VOCs at fuel combustion least through engines powering drilling rigs & oil & gas compressors, condensate industrial storage tanks, and miscellaneous pneumatic devices. (U.S. EPA, 2011 NEI)

  3. Oil & Gas in the Rocky Mountain region Active well Planned well (Thompson et al., 2014)

  4. Oil & Gas in the Rocky Mountain region Benzene Toluene Ethylbenzene Xylenes • Ambient VOC concentrations from flask canister observations • March - May 2013 • Colorado Department of Public Health and Environment (Denver, Platteville) and Acetylene Ethene Propene trans-2-Butene Thompson et al. (Erie) measurements (Thompson et al., 2014)

  5. Importance of Ozone Precursors in Front Range • History of challenge to achieve attainment, including current status of marginal nonattainment . • Efforts to comply with National Ambient Air Quality Standards • DISCOVER-AQ and FRAPPE missions to help understand challenges Time Series of Monitored 4th Maximum 8-Hour Ozone Values 100 75 NREL 50 Rocky Flats North Chatfield 25 Fort Collins West 0 (ppb) (Colorado Dept. of Public Health & Environment)

  6. Evaluation of Oil & Gas Contributions to MDA8 Ozone Influence of Eagle Ford shale emissions on daily maximum 8-hr average (MDA8) ozone concentrations in eastern Texas explored through natural gas pricing for 33 day episode. (Pacsi et al., 2015)

  7. Attributing Ozone Effects to Emissions with CMAQ adjoint ∂ (cost function) ∂ ( emissions ) ∂ (cost function) ∂ (emissions) ∂ (Ethene Emissions) ∂ (local MDA8) ∂ (NOx Emissions) or ∂ (Isoprene Emissions) ∂ (Toluene Emissions) ∂ (health risks associated with ozone exposure) ∂ (Chlorine Emissions) ∂ ! =(F’) T (x, ) x ∂ y Emissions influences are spatially resolved at the grid scale. (Hakami et al., 2007)

  8. Modeling Episode & Approach May-September 2007 Emissions EPA NEI 2008v2 with BEIS 3.14 Chemistry Carbon Bond 05 Meteorology WRF v3.1 Resolution 24 layers | 36x36 Example mean MDA8 O 3 from week long run in May 2007 km 2 Cost Functions Model MDA8 | ozone-related health risks CMAQ adjoint in urban areas adjacent to oil and gas development (Capps et al., in prep )

  9. Evaluating Emissions Influences on MDA8 •Marcellus & Utica shale plays in Appalachian Basin •Eagle Ford, Haynesville, & Barnett shale plays •Niobrara play in Denver Basin •San Joaquin, Santa Maria, Ventura, and LA basins Combined statistical areas encompassing four geographically-aggregated urban areas adjacent to oil and gas development to be evaluated. MDA8 and exceedances of ozone NAAQS levels to be assessed. U.S. Energy Information Administration www.eia.gov/oil_gas/rpd/shale_gas.pdf

  10. Estimate Risk due to Ozone Exposure 0 33 66 100 deaths / yr ppb Baseline mortality of exposed population, ≥ 30 years old 2007 6-month mean of maximum hourly O 3 Δ M = M 0 P (1 − e − β Δ C ) where M 0 is the baseline mortality, P is the exposed population over 30 years old, β is 0.0427% per ppb O 3 , and C is the 6-month mean of maximum hourly O 3 . Δ Risk = 1 − e − β Δ C 0 10 100 1000 (BenMAP | Jerrett et al., 2009) premature deaths

  11. Enabling Emissions Scaling Factor and Absolute Emissions Sensitivities • Added sensitivities with respect to absolute emissions and emissions scaling factors at each layer (with Matt Turner). • Each array is are propagated through the ACM2 continuous adjoint of vertical diffusion. ⎧ ⎫ ⎧ ⎫ 6 days 6 days ∑ ∑ ⎡ ⎤ ⎡ ⎤ Δ ∂ MDA8 Denver MDA8 Denver ⎪ ⎪ ⎪ ⎪ ⎣ ⎦ ⎣ ⎦ ? ⎪ ⎪ ⎪ ⎪ = i = 1 i = 1 ⎨ ⎬ ⎨ ⎬ Δ σ emis, ethene ∂ σ emis, ethene ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩ ⎭ ⎩ ⎭ • Adjoint-based influence of ethene on sum of June 1-7 average MDA8 for the Denver CSA within 25% of finite difference value (10% perturbation).

  12. Denver MDA8 ∂ (Denver MDA8) (ppm) ∂ ( σ emis VOCi ) Sensitivities June 1-7 ∂ (Denver MDA8) ∂ ( σ emis i ) h p i C s a e i a o c g O t r p h h e a t t r e e t o f e e a f r n l r i n l u e n d a p e e l e e Ranking sensitivities d n h n e e y e h d y e d to surface VOC e emissions shows the relative importance of each species to MDA8 ozone formation. Spatially-refined sensitivities allow investigation of ∂ (Denver MDA8) (ppm) efficient emissions ∂ ( σ NO X emis ) control strategies.

  13. Information for Emissions Control Strategy Development ∂ (Denver MDA8) (ppm) Sensitivities to ∂ (NO x emis) (mol -1 s) absolute emissions inform which emissions were responsible for formation of the ozone present. Sensitivities with respect to emissions scaling factors convey the extent to which a change in emissions of a species (e.g., NO x ) in ∂ (Denver MDA8) (ppm) a location would ∂ ( σ NO X emis ) impact Denver MDA8.

  14. Comparison of Emissions Influences on Different Cities ∂ (Denver MDA8) ∂ (East TX MDA8) = 1.93 ppm = 0.95 (ppm) ∂ ( σ emis NOx ) ∂ ( σ emis NOx ) ∂ (Denver MDA8) ∂ (East TX MDA8) (ppm) (ppm) ∂ ( σ emis VOCi ) ∂ ( σ emis VOCi ) -0.02 0.0 0.02 0.04 .06 0.08 -0.005 0.0 0.005 0.01 0.015 0.02 p C e i t a s a O h t h t o p i x o c e r f t h i s a i e g l y g a p a o o e r o e u c t f h p r l h r l r t p h e e n e f a u e m a e e e r i e e t n n f e n n l r n e r a a d f n e e n e e i n a l a l e e n d e d e l l h d e d e y e h e h d y h h y e d y d y d e d e e e

  15. Current Progress & Next Steps • Adjoint forcing functions have been formulated to investigate ozone impacts of oil and gas development adjacent to U.S. urban areas for 2007. • Sensitivities with respect to emissions scaling factors and absolute emissions have been implemented. • With CMAQ adjoint, extend the analysis to the entire summer and to other urban areas as well as MDA8 NAAQS exceedances and ozone-based health risks. • Continue to learn from field campaign results and extrapolate revisions to ozone implications.

  16. Extra Slides

  17. Sample results from other region

  18. Projected Emissions Annual Emissions (kT) Changes with Price U.S. 0 Annual Emissions (kT) Rocky Mountain transportation electricity industrial production residential commercial (McLeod et al., 2014)

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