RESULTS AND DISCUSSION continued Mays et al. (2009) previously showed that mobile fuel combustion is not an important source of CH 4 emission in Indianapolis,

Slides:



Advertisements
Similar presentations
The University of Reading Helen Dacre AGU Dec 2008 Boundary Layer Ventilation by Convection and Coastal Processes Helen Dacre, Sue Gray, Stephen Belcher.
Advertisements

Michael B. McElroy ACS August 23rd, 2010.
How fossil fuel CO 2 uncertainty impacts estimates of carbon exchange and variability Kevin Gurney, Yang Song, Jianhua Huang, Kevin Coltin, Alex Garden.
Quantification of the sensitivity of NASA CMS-Flux inversions to uncertainty in atmospheric transport Thomas Lauvaux, NASA JPL Martha Butler, Kenneth Davis,
GHG Verification & the Carbon Cycle 28 September 2010 JH Butler, NOAA CAS Management Group Meeting Page 1 Global Monitoring, Carbon Cycle Science, and.
Detection and Quantification of Urban Greenhouse Gas Emissions: Ground- based results from the INFLUX Experiment Map of road emissions from Hestia with.
A direct carbon budgeting approach to infer carbon sources and sinks from the NOAA/ESRL Aircraft Network Colm Sweeney 1, Cyril Crevoisier 2, Wouter Peters.
Inter-comparison of retrieved CO 2 from TCCON, combining TCCON and TES to the overpass flight data Le Kuai 1, John Worden 1, Susan Kulawik 1, Kevin Bowman.
QUANTIFICATION OF METHANE SOURCE LOCATIONS AND EMISSIONS IN AN URBAN SETTING B51Q Characterizing, Modeling, and Extending Urban Metabolism II Eric Crosson,
On network design for the detection of urban greenhouse gas emissions: Results from the Indianapolis Flux Experiment (INFLUX) Natasha Miles 1, Marie Obiminda.
Distribution of NO 2 concentrations over shooting (400 µg/m 3 per 1 hour) calculated with POLAIR dispersion model using (2004) NO 2 concentrations from.
PM in Sweden HC Hansson and Christer Johansson ITM, Stockholm University.
CO 2 in the middle troposphere Chang-Yu Ting 1, Mao-Chang Liang 1, Xun Jiang 2, and Yuk L. Yung 3 ¤ Abstract Measurements of CO 2 in the middle troposphere.
Microwindow Selection for the MIPAS Reduced Resolution Mode INTRODUCTION Microwindows are the small subsets of the complete MIPAS spectrum which are used.
page 0 Prepared by Associate Prof. Dr. Mohamad Wijayanuddin Ali Chemical Engineering Department Universiti Teknologi Malaysia.
On average TES exhibits a small positive bias in the middle and lower troposphere of less than 15% and a larger negative bias of up to 30% in the upper.
Motivation  China’s Natural Gas Vehicle (NGV) use is increasing exponentially  Natural gas vehicles (NGV) present a new source of CH 4  Methane (CH.
Figure 1 Figure 8 Figure 9Figure 10 Altitude resolved mid-IR transmission of H 2 O, CH 4 and CO 2 at Mauna Loa Anika Guha Atmospheric Chemistry Division,
Inference for regression - Simple linear regression
Natasha Miles, Kenneth Davis, Scott Richardson, Thomas Lauvaux, and many MCI and INFLUX collaborators Symposium on Air Quality Measurement Methods and.
ACKNOWLEDGEMENTS We are grateful to the MOPITT team, especially the groups at University of Toronto and the National Center for Atmospheric Research (NCAR),
The INFLUX Project: Indianapolis as a Case Study for the Accurate and High Resolution Determination of CO 2 and CH 4 Emission fluxes from an Urban Center.
Colorado Front Range Emissions Study Regional study of the impact of oil and gas operations on ambient hydrocarbon levels in the Northern Front Range based.
CHAPTER 5 Concentration Models: Diffusion Model.
AMBIENT AIR CONCENTRATION MODELING Types of Pollutant Sources Point Sources e.g., stacks or vents Area Sources e.g., landfills, ponds, storage piles Volume.
Dispersion of Air Pollutants The dispersion of air pollutants is primarily determined by atmospheric conditions. If conditions are superadiabatic a great.
Mapping Greenhouse Gas Emissions in the Los Angeles Basin by Remote Sensing Using a Fourier Transform Spectrometer on Mt. Wilson Kam Weng (Clare) Wong.
Click to edit Master subtitle style 2/6/12 Quantification of anthropogenic emissions from an urban region: First results of time-integrated flask samples.
On network design for the detection of urban greenhouse gas emissions: Results from the Indianapolis Flux Experiment (INFLUX) Natasha Miles 1, Thomas Lauvaux.
Cases 1 through 10 above all depend on the specification of a value for the eddy diffusivity, K j. In general, K j changes with position, time, wind velocity,
Greenhouse gas fluxes derived from regional measurement networks and atmospheric inversions: Results from the MCI and INFLUX experiments Kenneth Davis.
Gpegpe P Introduction A three-year NSF project is underway to investigate the processes leading to the formation, maintenance and destruction of.
Atmospheric Measurement of Regional Methane Emissions Kenneth J. Davis 1, Thomas Lauvaux 1 and Colm Sweeney 2 1 The Pennsylvania State University, 2 NOAA.
TOP-DOWN CONSTRAINTS ON REGIONAL CARBON FLUXES USING CO 2 :CO CORRELATIONS FROM AIRCRAFT DATA P. Suntharalingam, D. J. Jacob, Q. Li, P. Palmer, J. A. Logan,
Indianapolis flux (INFLUX) in-situ network: quantification of urban atmospheric boundary layer greenhouse gas dry mole fraction enhancements 18 th WMO/IAEA.
Future atmospheric conditions increase the greenhouse-gas intensity of rice cultivation K.J. van Groenigen*,†, C. van Kessel ‡, B.A. Hungate* Discussion.
Observations The collection of slope values were plotted against time and box plots show the distribution for each of the six daily trips of the vessel.
Lecture 8 Simple Linear Regression (cont.). Section Objectives: Statistical model for linear regression Data for simple linear regression Estimation.
Field research was conducted at the University of Minnesota Rosemount Research and Outreach Center. The experiment was conducted in a 17 ha agricultural.
Department of Mechanical Engineering The Pearlstone Center for Aeronautical Engineering Studies Ben-Gurion University of the Negev P.O.B. 653, Beer Sheva.
Diurnal Variations of CO 2 Emissions during CalNex-LA: Magnitude and Sources Sally Newman 1, Xiaomei Xu 2, Sergio Alvarez 3, Bernhard Rappenglueck 3, Christine.
Quantification of anthropogenic emissions from an urban region: First results of time-integrated flask samples from the Indianapolis Flux Project (INFLUX)
C. Sweeney 1, A. Karion, D.W.Guenther 1, S. E. Wolter 1, D. Neff 1, P.M. Lang 2, M.J. Heller 1, T. Conway 2, E.J. Dlugokencky 2, P. Novelli 2, L. Bruhwiler.
A direct carbon budgeting approach to study CO 2 sources and sinks ICDC7 Broomfield, September 2005 C. Crevoisier 1 E. Gloor 1, J. Sarmiento 1, L.
Planetary Boundary-layer Ozone Flux using Ozone DIAL and Compact Wind Aerosol Lidar (CWAL) in Huntsville AL Guanyu Huang 1, Michael J. Newchurch 1, Shi.
Towards validation of urban GHG emissions using a very high resolution atmospheric inversion in the Indianapolis Flux Experiment Kenneth J. Davis 1, Thomas.
© Crown copyright Met Office Estimating UK and NW European CH 4 emissions using inversion modelling Alistair Manning with thanks to Simon O’Doherty & Dickon.
Aircraft-based CO 2 and CH 4 flux estimates from the city of Indianapolis: assessment of uncertainties and comparison with bottom-up approach INTRODUCTION.
Figure 1: Global time series plots of CH 4 and δ 13 C of CH 4 from The recent rise in CH 4 is concurrent with a decrease in δ 13 C of CH 4.
The Influence of loss saturation effects on the assessment of polar ozone changes Derek M. Cunnold 1, Eun-Su Yang 1, Ross J. Salawitch 2, and Michael J.
How accurately we can infer isoprene emissions from HCHO column measurements made from space depends mainly on the retrieval errors and uncertainties in.
Radiative transfer in the thermal infrared and the surface source term
Copyright © 2009 Pearson Education, Inc. 8.1 Sampling Distributions LEARNING GOAL Understand the fundamental ideas of sampling distributions and how the.
Detection and Quantification of Atmospheric Boundary Layer Greenhouse Gas Dry Mole Fraction Enhancements from Urban Emissions: Results from INFLUX NOAA.
Georgia Institute of Technology SUPPORTING INTEX THROUGH INTEGRATED ANALYSIS OF SATELLITE AND SUB-ORBITAL MEASUREMENTS WITH GLOBAL AND REGIONAL 3-D MODELS:
Quantification of emissions from methane sources in Indianapolis using an aircraft-based platform Maria Obiminda Cambaliza 1, Paul Shepson 1, Brian Stirm.
The identification of the fluctuation effects related to the turbulence and “permanent” layers in the atmosphere of Venus from radio occultation data V.N.Gubenko.
Evaluating Local-scale CO 2 Meteorological Model Transport Uncertainty for the INFLUX Urban Campaign through the Use of Realistic Large Eddy Simulation.
July 24, GHG Measurement Program ARB’s greenhouse gas measurement program is designed to support California’s GHG reduction efforts Identify Specific.
February 11, 2016 Nitrogen Oxides (NO x ) Emissions from U.S. Shale Plays using an Integrated Top-down and Bottom-up Approach Speaker: Andy Chang, PhD.
Carbon Dioxide Fluxes in a Forest Soil in the Citronelle Oil Field of South Alabama Latasha Lyte and E.Z. Nyakatawa Department of Natural Resources and.
Integrating LiDAR Intensity and Elevation Data for Terrain Characterization in a Forested Area Cheng Wang and Nancy F. Glenn IEEE GEOSCIENCE AND REMOTE.
Action Items WRF/LES model coupling Model-measurement comparison
Methane Emissions from Marcellus Shale Natural Gas Operations: Results from Summer 2015 Aircraft Observations Xinrong Ren, Dolly Hall, Timothy Vinciguerra,
FLAGG-MD Fluxes of Greenhouse Gases in Maryland
Identification of Methane Emissions in an Urban Setting
INFLUX: Comparisons of modeled and observed surface energy dynamics over varying urban landscapes in Indianapolis, IN Daniel P. Sarmiento, Kenneth Davis,
Volume 5, Issue 3, Pages (May 2012)
CHAPTER – 1.2 UNCERTAINTIES IN MEASUREMENTS.
The Mars Pathfinder Atmospheric Structure Investigation/Meteorology (ASI/MET) Experiment by J. T. Schofield, J. R. Barnes, D. Crisp, R. M. Haberle, S.
Presentation transcript:

RESULTS AND DISCUSSION continued Mays et al. (2009) previously showed that mobile fuel combustion is not an important source of CH 4 emission in Indianapolis, and stated above, neither is the BWWTP. Thus, to determine the potential source contributing to the remaining ~67%, we show the regression of propane versus methane concentrations (R 2 = 0.61) for aircraft flask samples taken downwind of the city but outside the SSLF plume (Fig. 6). We compared the slope with the mean NG composition data reported by Panhandle Eastern Pipeline (PEP) for their four transmission segments. PEP is the primary supplier of NG to Indianapolis. We find that the slope of the C 3 H 8 versus CH 4 data is not statistically significantly different from the mean NG composition data from PEP at the 95% CL. Quantification of the Methane Emission Flux from the City of Indianapolis, IN: identification and contribution of sources INTRODUCTION and OBJECTIVES Quantification of the magnitude and uncertainties of greenhouse gas (GHG) emissions is important for establishing scientifically sound and cost-effective policies for mitigating such emissions in urban environments. Recent observational studies have shown that cities are major sources of anthropogenic methane emissions with magnitudes much larger than estimated in emission inventories (e.g. Mays et al., 2009, Wunch et al., 2009). The discrepancy between top-down and bottom-up approaches suggests that there are uncharacterized sources in urban environments. For the city of Indianapolis, urban CH 4 fluxes do not correlate with emissions from combustion sources (Mays et al., 2009). While the emission inventory for carbon dioxide is relatively well understood, the methane source function is less defined because of the diverse range of anthropogenic and biogenic sources. As part of INFLUX, we have been conducting measurements of carbon dioxide and methane in the air shed of Indianapolis using an aircraft-based platform (Purdue University’s Airborne Laboratory for Atmospheric Research), equipped with a Picarro cavity ring-down CO 2 /CH 4 /H 2 O spectrometer (CRDS), a flask sampling system, and a Best Air Turbulence probe for high-resolution wind measurements. Because Indianapolis is isolated relative to other metropolitan areas, GHG signals from this urban center can be detected with relative ease, making it an ideal location for developing methods for fossil fuel emission measurements. We complemented our aircraft-based data with surface mobile measurements around Indianapolis using our Picarro CRDS and a GPS system installed in a Ford Taurus vehicle to survey and identify the CH 4 sources within the city. In this work, we (1) quantified the citywide CH 4 emissions from several flight experiments in 2011, (2) combined our aircraft data with surface mobile measurements in Indianapolis to identify and quantify the contributions of important sources to the total citywide CH 4 emission flux. Maria Obiminda Cambaliza 1, Paul Shepson 1, Dana Caulton 1, Brian Stirm 1, Chase Miller 1, Alyssa Hendricks 1, Brittany Moser 1, Tegan Lavoie 1, Olivia Salmon 1, Jocelyn Turnbull 2,3, Anna Karion 3,4, Colm Sweeney 3,4, Kenneth Davis 5, Thomas Lauvaux 5, Natasha Miles 5, Scott Richardson 5, Eric Crosson 6, James Whetstone 7, Kuldeep Prasad 7, Kevin Gurney 8 1 Purdue University, 2 National Isotope Centre, GNS Science, New Zealand, 3 University of Colorado, 4 NOAA/ESRL, 5 The Pennsylvania State University, 6 Picarro, Inc., 7 NIST, 8 Arizona State University ACKNOWLEDGEMENT This study is part of the Indianapolis Flux Experiment (INFLUX), which is funded by the National Institute of Standards and Technology. Table 1. Citywide CH 4 Emission Flux from five flight experiments in 2011 with corresponding combined contributions from Southside Landfill (SSLF), and Transmission Regulation Station (TRS) Flight Date in 2011 Citywide CH 4 Flux (mol s -1 ) CH 4 Flux from SSLF and TRS (mol s -1 ) % contribution from SSLF and TRS March April June June July Mean ± 1s135 ± 5845 ± 1437 ± 16 RESULTS AND DISCUSSION, continued To determine the sources contributing to the hotspot observed from aircraft measurements, we conducted surface mobile measurements within the city. Figure 4 shows the result from one mobile survey conducted on Jan. 21, 2013 specifically targeting the southwest side of the city. On this day, sustained winds were from the west that provided an opportunity to identify the most important contributing sources since their perimeters run north-south on Harding Street. Just as in our aircraft measurements, we intercepted a plume from possible upwind sources by driving on roads that are perpendicular to the wind direction. We find that the two apparent sources are the landfill and a natural gas (NG) transmission regulating station (TRS). For this day and on a separate mobile measurement on Nov. 12, 2012 when winds were from the west, we did not observe any enhancements downwind of BWWTP. Figure 5 and Table 1 show the citywide CH 4 emission fluxes derived from the aircraft-based mass balance approach (equation 1) for five flight dates in We observe day-to-day variability in the total CH 4 flux in part due to the fact that one of the important contributors to the citywide emission is landfill microbial activity that is dependent on temperature and moisture conditions. FLIGHT DESIGN and MASS BALANCE APPROACH The flight plan was designed based on the experimental theory depicted in Figure 1. Wind carrying background concentrations of CO 2 and CH 4 blows over the city, where it picks up greenhouse gas emissions from anthropogenic sources such as cars, power plants, landfills, etc. By flying horizontal transects normal to the prevailing wind direction downwind of the city, enhancements in CO 2 and CH 4 above background were intercepted, detected and quantified by the on-board aircraft sampling system from the ground to the top of the boundary layer. Figure 2 shows, as an example, the horizontal transects for a flight experiment on July 12, The curtain flight transects span distances longer than the diameter of the city (~70 km) to clearly distinguish background concentrations of CO 2 and CH 4 from anthropogenic greenhouse gas from the Indianapolis air shed. The horizontal distribution of CH 4 as a function of the height above the ground (Figure 3) shows the elevated concentrations of CH 4, the largest of which can be traced back to the Southside landfill southwest of the city. The mass balance approach integrates the incremental concentrations multiplied by the wind speed perpendicular to the flight path to calculate the flux at any point, which is then integrated over the dimensions of the city and from the ground to the top of the boundary layer according to the equation: (1) RESULTS AND DISCUSSION continued To isolate the combined CH 4 emission from SSLF and TRS, we assumed that cells are attributable to these sources if the measured concentration is at least two standard deviations greater than the mean city CH 4 concentration, and correlates with back trajectory analysis using measured winds. Together, the SSLF and TRS have a combined percentage contribution to the total flux that ranges from 19% to 59% (Table 1) for the five flight experiments, with a mean contribution of ~37% corresponding to ~45 moles s -1. To partition the combined flux from SSLF and TRS, we measure the areas under the curves of these two distinct plumes (Figure 4) and determine their relative contributions to the total area. We assume that the relative contributions to the total area is the same as the relative contribution to the total SSLF + TRS flux determined from our aircraft measurements. However, the downwind distances of these two sources from Harding Street are not equal. The TRS was ~40 m while SSLF was ~1300 m from Harding St. Since the dispersion of the plume is a function of downwind distance, we thus use a simple Gaussian plume model to apply a correction to the relative flux contribution of TRS at 1300 m, the same distance as SSLF. Using the Jan. 21, 2013 and Nov. 12, 2012 mobile surface measurements, we find that the mean emission flux from the TRS was 20 ± 17 millimoles s -1, a negligible figure relative to the significant contribution from the SSLF. Hence, the observed excess CH 4 from aircraft data and the corresponding mean flux of ~45 moles s -1 was essentially entirely attributable to the SSLF (Figure 5). CONCLUSIONS Our aircraft and mobile surface measurements showed that the landfill is an important source contributing to about a third of the total citywide CH 4 emission flux, corresponding to a mean contribution of ~45 moles s -1. The regression between C 3 H 8 and CH 4 suggests that much of the remaining emission flux (~90 moles s -1 ) is primarily derived from the NG transmission and distribution system. This NG leakage flux is an energy equivalent to the electric power energy consumption of ~26,000 households. Fig. 4. Observed CH 4 enhancements (ppb) directly downwind of SSLF and a natural gas TRS on Harding St. obtained during a surface mobile measurement on Jan. 21, Sustained winds were from the west. North points to the left. Note that a NG leak was also observed on Oliver Ave. Bridge just outside the city center North CH 4 Enhancement (ppb) Natural gas leak Fig. 1. Illustration of the mass balance approach. Wind carrying background concentrations of CO 2 and CH 4 blows over the city, where it intercepts and picks up GHG emissions from anthropogenic sources such as cars, power plants, land fills, etc. Flux across the downwind crosswind plane is measured by the aircraft as it rasters this plane. A53E-0225 Fig. 2. Flight path on July 12, 2011 showing the horizontal transects directly downwind of the city. RESULTS AND DISCUSSION In Figure 3A we show the raw CH 4 data from the July 12, 2011 flight transects (Fig. 2) and in 3B the kriged (interpolated) result. Using the kriged winds, and background profile, we calculated a total flux for this day of ~200 moles s -1 for CH 4. The CH 4 plume shows a range of enhancements relative to background of ~ 10 to 80 ppb. A noticeable feature in the data is the ~60 to ~80 ppb CH 4 hotspot between -10 to +2 km at all altitudes. The corresponding upwind geographic region of the city consistently represents the source of the largest component of the total flux. In a separate flight experiment on March 1, 2011, we followed the plume upwind and found the CH 4 source area originating from the southwest side of the city. This side of the city is home to potential CH 4 sources such as the Southside Landfill (SSLF), Belmont wastewater treatment plant (BWWTP), and a transmission regulating station (TRS) as shown in Figure 2. Figure 6. Observed propane versus methane enhancement from flask measurements downwind of the city (but outside the landfill plume) for several Indianapolis flight experiments. The solid lines correspond to the upper and lower 95% confidence limits. Fig. 3. Observed CH 4 in downwind transects (panel A) for July 12, 2011, along with the kriged (interpolated) data from these transects in panel B. The black dashed line represents the southwest boundary of the city such that the limits of integration are from -31 km to +52 km. Fig. 5. Citywide CH 4 flux derived from the aircraft-based mass balance approach for five flight experiments in Also shown are the flux contributions from the Southside landfill (SSLF) on Harding St. Error bars correspond to ± 50% uncertainty (Cambaliza et al., 2013).