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Identification of Methane Emissions in an Urban Setting

Identification of Methane Emissions in an Urban Setting. ESRL Global Monitoring Annual Meeting May17-18, 2011. Collaborators in this effort. Nathan Phillips & Lucy Hutyra – Boston University Jocelyn Turnbull & Colm Sweeney – NOAA/ESRL Paul Shepson & Maria Obiminda Cambaliza – Purdue

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Identification of Methane Emissions in an Urban Setting

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  1. Identification of Methane Emissions in an Urban Setting ESRL Global Monitoring Annual Meeting May17-18, 2011

  2. Collaborators in this effort • Nathan Phillips & Lucy Hutyra – Boston University • Jocelyn Turnbull & Colm Sweeney – NOAA/ESRL • Paul Shepson & Maria Obiminda Cambaliza – Purdue • Eric Crosson, Chris Rella, & Sze Tan – Picarro, Inc. • Robert Ackley – Gas Safety, Inc.

  3. Objectives of this effort • As an extension of the INFLUX work • Identify methane source locations and gather information on methane flux signals (relative magnitudes). • Provide prior knowledge for inversion models. • Data to help validate inversion model results. • Information to help improve flux measurements from aircraft. • Data could help to model cross-wind dispersion in an urban environment.

  4. Method: Measuring Methane Plumes to Determine Source Locations • Map out methane concentrations while driving along roads and highways. • CH4: 2 ppb precision at 0.5 Hz. • GPS data • Wind velocity Wind Methane Source methane plume

  5. Method: Identifying methane source locations Guidance from Simple Gaussian Plume Model Sources Reconstruction Source locations calculate from plumes roads Four source locations Winds: 0 to 360o in 20o steps Atmospheric stability class C methane source and plume

  6. Model Results: Winds from only two orthogonal directions…….source location looks possible. Sources Reconstruction Atmospheric Stability Class F Class A

  7. From Models to Reality: Measurements in Indianapolis Methane measurements while driving through plume Methane Measurements Taken While Driving Methane Concentration (parts per million) Distance Traveled

  8. “Methane Maps” of Indianapolis Wind direction, 23km/hr 5 4 3 2 1

  9. Some Sources are easy to Identify 5 4 3 2 > 25 ppm 1

  10. Others are NOT so Easy 5 4 3 2 1

  11. Methane Data Taken the Next Day 5 Wind direction, 23km/hr 6 7 4 8 3 2 1

  12. Reproducibility of Plume Measurements Repeated landfill plume measurements taken while driving 2 km from source. (Location: Danville, IN) - Wind speed = 3.8 ± 1.2 km/hr - Source Flux  7,000 grams / minute 1.5 km 45 minutes High variability in plume shape. Take advantage by……

  13. Stationary Tracer Method to Assess Fluxes Wind acetylene Landfill methane plume methane tracer plume • Fixed location 1300 m downwind of landfill • Natural variation in wind direction & wind speed will cause variability in signal as the plumes sweep across the detection point • High correlation indicates good overlap between plumes

  14. Methane Flux Determination (Location: Danville, IN) • Plot methane vs. acetylene. • Slope of line gives ratio of emission rates. = 7.5 moles / s

  15. A Very Complex Methane Map: Boston

  16. Natural Gas Leaks in and around Boston

  17. Natural Gas Leaks Destroying Vegetation • Leaks in aging natural gas pipelines are killing trees all across the northeast. • Natural gas leaks can kill trees by displacing oxygen in the soil and drying out their roots. • 7,500 to 10,000 trees affected in Boston area alone. • Several cities are asking for damages in excess of $1M each. http://natgaspollutes.com

  18. Summary • Identification of methane source locations by driving around looks possible. • Flasks need to be analyzed. • Need model to reconstruct methane probability distribution from plume data. • Need to take more systematic data.

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