Articles | Volume 14, issue 5
https://doi.org/10.5194/amt-14-3469-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-3469-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Beef cattle methane emissions measured with tracer-ratio and inverse dispersion modelling techniques
Faculty of Veterinary and Agricultural Sciences, the University of
Melbourne, Parkville, VIC 3010, Australia
José I. Velazco
School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia
Trevor W. Coates
Faculty of Veterinary and Agricultural Sciences, the University of
Melbourne, Parkville, VIC 3010, Australia
Frances A. Phillips
Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, NSW 2522, Australia
Thomas K. Flesch
Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, T6G 2E3, AB, Canada
Julian Hill
Ternes Agricultural Consulting Pty Ltd, Upwey, VIC 3158, Australia
David G. Mayer
Agri-Science Queensland, Dutton Park, QLD 4102, Australia
Nigel W. Tomkins
CSIRO Agriculture, Australian Tropical Science and Innovation
Precinct, James Cook University, Townsville, QLD 4811, Australia
Roger S. Hegarty
School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia
Deli Chen
Faculty of Veterinary and Agricultural Sciences, the University of
Melbourne, Parkville, VIC 3010, Australia
Related authors
Stephen J. Harris, Sven Krautwurst, Jorg Hacker, Mark Lunt, Borchardt Jakob, Mei Bai, Hartmut Boesch, Tarra Brain, John Philip Burrows, Shakti Chakravarty, Robert A. Field, Rebecca E. Fisher, James L. France, Konstantin Gerilowski, Oke Huhs, Wolfgang Junkermann, Bryce F. J. Kelly, Martin Kumm, Mathias Lanoisellé, Wolfgang Lieff, Andrew McGrath, Adrian Murphy, Thomas Röckmann, Zoe Salmon, Josua Schindewolf, Jakob Thoböll, Carina van der Veen, and Heinrich Bovensmann
EGUsphere, https://doi.org/10.5194/egusphere-2026-772, https://doi.org/10.5194/egusphere-2026-772, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
The accuracy of methods used to estimate and report fugitive methane emissions from Australian coal mines remains unclear. This study compares airborne emission rate estimates with reported estimates from 17 coal mines in the Bowen Basin, a region accounting for 45 % of national coal production. Results show good agreement for underground coal mines, but poor agreement for surface coal mines, suggesting improvements to surface coal mine reporting methods is needed to improve inventory reporting.
Mei Bai, Pieter De Jong, Ellen Tao, and Deli Chen
EGUsphere, https://doi.org/10.5194/egusphere-2026-6, https://doi.org/10.5194/egusphere-2026-6, 2026
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
Short summary
Short summary
For the first time, real-time methane (CH4) emissions from an open aerated sewage treatment lagoon were measured during winter and summer seasons in Australia. The study found that: 1. The emissions accounted for 25 % of CH4 production at the aeration digestion facilities. 2. The measured CH4 emissions were 2–3 times higher than estimates based on default emission factors. We recommend that urgent action is needed to mitigate CH4 emissions at wastewater treatment plants.
Mei Bai, Zoe Loh, David W. T. Griffith, Debra Turner, Richard Eckard, Robert Edis, Owen T. Denmead, Glenn W. Bryant, Clare Paton-Walsh, Matthew Tonini, Sean M. McGinn, and Deli Chen
Atmos. Meas. Tech., 15, 3593–3610, https://doi.org/10.5194/amt-15-3593-2022, https://doi.org/10.5194/amt-15-3593-2022, 2022
Short summary
Short summary
The open-path laser (OPL) and open-path Fourier transform infrared (OP-FTIR) are used in agricultural research, but their error in emissions research has not been the focus of studies. We conducted trace gas release trials and herd and paddock emission studies to compare their applicability and performance. The OP-FTIR has better stability in stable conditions than OPL. The CH4 OPL accurately detects the low background level of CH4, but the NH3 OPL only detects background values >10 ppbv.
Stephen J. Harris, Sven Krautwurst, Jorg Hacker, Mark Lunt, Borchardt Jakob, Mei Bai, Hartmut Boesch, Tarra Brain, John Philip Burrows, Shakti Chakravarty, Robert A. Field, Rebecca E. Fisher, James L. France, Konstantin Gerilowski, Oke Huhs, Wolfgang Junkermann, Bryce F. J. Kelly, Martin Kumm, Mathias Lanoisellé, Wolfgang Lieff, Andrew McGrath, Adrian Murphy, Thomas Röckmann, Zoe Salmon, Josua Schindewolf, Jakob Thoböll, Carina van der Veen, and Heinrich Bovensmann
EGUsphere, https://doi.org/10.5194/egusphere-2026-772, https://doi.org/10.5194/egusphere-2026-772, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
The accuracy of methods used to estimate and report fugitive methane emissions from Australian coal mines remains unclear. This study compares airborne emission rate estimates with reported estimates from 17 coal mines in the Bowen Basin, a region accounting for 45 % of national coal production. Results show good agreement for underground coal mines, but poor agreement for surface coal mines, suggesting improvements to surface coal mine reporting methods is needed to improve inventory reporting.
Mei Bai, Pieter De Jong, Ellen Tao, and Deli Chen
EGUsphere, https://doi.org/10.5194/egusphere-2026-6, https://doi.org/10.5194/egusphere-2026-6, 2026
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
Short summary
Short summary
For the first time, real-time methane (CH4) emissions from an open aerated sewage treatment lagoon were measured during winter and summer seasons in Australia. The study found that: 1. The emissions accounted for 25 % of CH4 production at the aeration digestion facilities. 2. The measured CH4 emissions were 2–3 times higher than estimates based on default emission factors. We recommend that urgent action is needed to mitigate CH4 emissions at wastewater treatment plants.
Mei Bai, Zoe Loh, David W. T. Griffith, Debra Turner, Richard Eckard, Robert Edis, Owen T. Denmead, Glenn W. Bryant, Clare Paton-Walsh, Matthew Tonini, Sean M. McGinn, and Deli Chen
Atmos. Meas. Tech., 15, 3593–3610, https://doi.org/10.5194/amt-15-3593-2022, https://doi.org/10.5194/amt-15-3593-2022, 2022
Short summary
Short summary
The open-path laser (OPL) and open-path Fourier transform infrared (OP-FTIR) are used in agricultural research, but their error in emissions research has not been the focus of studies. We conducted trace gas release trials and herd and paddock emission studies to compare their applicability and performance. The OP-FTIR has better stability in stable conditions than OPL. The CH4 OPL accurately detects the low background level of CH4, but the NH3 OPL only detects background values >10 ppbv.
Trevor W. Coates, Monzurul Alam, Thomas K. Flesch, and Guillermo Hernandez-Ramirez
Atmos. Meas. Tech., 14, 7147–7152, https://doi.org/10.5194/amt-14-7147-2021, https://doi.org/10.5194/amt-14-7147-2021, 2021
Short summary
Short summary
A field study tested two footprint models for calculating surface emissions from downwind flux measurements. Emission rates from a 10 × 10 m synthetic source were estimated with the simple Kormann–Meixner model and a sophisticated Lagrangian stochastic model. Both models underestimated emissions by approximately 30 %, and no statistical differences were observed between the models. Footprint models are critically important for interpreting eddy covariance measurements.
Cited articles
Bai, M.: Methane emissions from livestock measured by novel spectroscopic
techniques, Doctor of Philosophy PhD Thesis, School of Chemistry, University
of Wollongong, Wollongong, NSW, Australia, 303 pp., 2010.
Bai, M., Flesch, K. T., Trouvé, R., Coates, T. W., Butterly, C., Bhatta,
B., Hill, J., and Chen, D.: Gas Emissions during Cattle Manure Composting
and Stockpiling, J. Environ. Qual., 49, 228–235, https://doi.org/10.1002/jeq2.20029, 2020.
Bindon, B. M.: Genesis of the Cooperative Research Centre for the Cattle and
Beef Industry: integration of resources for beef quality research
(1993–2000), Aust. J. Exp. Agr., 41, 843–853,
https://doi.org/10.1071/EA00067, 2001.
Charmley, E., Williams, S. R. O., Moate, P. J., Hegarty, R. S., Herd, R. M.,
Oddy, V. H., Reyenga, P., Staunton, K. M., Anderson, A., and Hannah, M. C.:
A universal equation to predict methane production of forage-fed cattle in
Australia, Anim. Prod. Sci., 56, 169–180, https://doi.org/10.1071/AN15365, 2016.
Cottle, D. J., Nolan, J. V., and Wiedemann, S. G.: Ruminant enteric methane
mitigation: a review, Anim. Prod. Sci., 51, 491–514, https://doi.org/10.1071/AN10163, 2011.
Dengel, S., Levy, P. E., Grace, J., Jones, S. K., and Skiba, U. M.: Methane
emissions from sheep pasture, measured with an open-path eddy covariance
system, Glob. Change Biol., 17, 3524–3533, https://doi.org/10.1111/j.1365-2486.2011.02466.x, 2011.
DoE: Australian National Greenhouse Accounts. National Inventory Report
2012. Department of Environment, available at: http://www.environment.gov.au/node/35779, last access: 12 December
2014.
Felber, R., Münger, A., Neftel, A., and Ammann, C.: Eddy covariance methane flux measurements over a grazed pasture: effect of cows as moving point sources, Biogeosciences, 12, 3925–3940, https://doi.org/10.5194/bg-12-3925-2015, 2015.
Flesch, T. K. and Wilson, J. D.: Estimating tracer emissions with a backward
Lagrangian stochastic technique, in: Micrometeorology in agricultural
systems, edited by: Hatfield, J. L., Baker, J. M., and Viney, M. K., American
Society of Agronomy, Inc. Crop Science Society of America, Inc. Soil Science
Society of America, Inc., Ames, Iowa, USA, 2005.
Flesch, T. K., Wilson, J. D., Harper, L. A., Crenna, B. P., and Sharpe, R.
R.: Deducing ground-to-air emissions from observed trace gas concentrations:
A field trial, J. Appl. Meteorol., 43, 487–502, https://doi.org/10.1175/1520-0450(2004)043<0487:DGEFOT>2.0.CO;2, 2004.
Flesch, T. K., Wilson, J. D., Harper, L. A., and Crenna, B. P.: Estimating
gas emissions from a farm with an inverse-dispersion technique, Atmos.
Environ., 39, 4863–4874, https://doi.org/10.1016/j.atmosenv.2005.04.032, 2005.
Flesch, T. K., Baron, V., Wilson, J., Griffith, D. W. T., Basarab, J., and
Carlson, P.: Agricultural gas emissions during the spring thaw: Applying a
new measuremnt technique, Agric. Forest Meteorol., 221, 111–121, https://doi.org/10.1016/j.agrformet.2016.02.010, 2016.
Flessa, H., Dörsch, P., Beese, F., König, H., and Bouwman, A. F.:
Influence of Cattle Wastes on Nitrous Oxide and Methane Fluxes in Pasture
Land, J. Environ. Qual., 25, 1366–1370, https://doi.org/10.2134/jeq1996.00472425002500060028x, 1996.
Garnsworthy, P. C., Craigon, J., Hernandez-Medrano, J. H., and Saunders, N.:
On-farm methane measurements during milking correlate with total methane
production by individual dairy cows, J. Dairy Sci., 95, 3166–3180,
https://doi.org/10.3168/jds.2011-4605, 2012.
Garratt, J. R.: The atmospheric boundary layer, Cambridge University Press,
Cambridge, UK, 1992.
Grainger, C., Clarke, T., McGinn, S. M., Auldist, M. J., Beauchemin, K. A.,
Hannah, M. C., Waghorn, G. C., Clark, H., and Eckard, R. J.: Methane
emissions from dairy cows measured using the Sulfur Hexafluoride (SF6)
tracer and chamber techniques, J. Dairy Sci., 90, 2755–2766, https://doi.org/10.3168/jds.2006-697, 2007.
Griffith, D. W. T.: Synthetic calibration and quantitative analysis of
gas-phase FT-IR spectra, Appl. Spectrosc., 50, 59–70, 1996.
Griffith, D. W. T., Bryant, G. R., Hsu, D., and Reisinger, A. R.: Methane
emissions from free-ranging cattle: comparison of tracer and integrated
horizontal flux techniques, J. Environ. Qual., 37, 582–591, https://doi.org/10.2134/jeq2006.0426, 2008.
Harper, L. A., Denmead, O. T., and Flesch, T. K.: Micrometeorological
techniques for measurement of enteric greenhouse gas emissions, Anim. Feed
Sci. Tech., 166–167, 227–239, https://doi.org/10.1016/j.anifeedsci.2011.04.013, 2011.
IPCC: 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Prepared
by the National Greenhouse Gas Inventories Programme, edited by: Eggleston, H. S., Buendia, L., Miwa, K., Ngara, T., and Tanabe, K., IGES, Hayama, Kanagawa, Japan, 2006.
Johnson, K., Huyler, M., Westberg, H., Lamb, B., and Zimmerman, P.:
Measurement of methane emissions from ruminant livestock using a SF6
tracer technique, Environ. Sci. Technol., 28, 359–362, https://doi.org/10.1021/es00051a025, 1994.
Jones, F. M., Phillips, F. A., Naylor, T., and Mercer, N. B.: Methane
emissions from grazing Angus beef cows selected for divergent residual feed
intake, Anim. Feed Sci. Tech., 166, 302–307, https://doi.org/10.1016/j.anifeedsci.2011.04.020, 2011.
Kebreab, E., Clark, K., Wagner-Riddle, C., and France, J.: Methane and
nitrous oxide emissions from Canadian animal agriculture: A review, Can. J.
Anim. Sci., 86, 135–157, https://doi.org/10.4141/A05-010, 2006.
Laubach, J., Kelliher, F. M., Knight, T. W., Clark, H., Molano, G., and
Cavanagh, A.: Methane emissions from beef cattle – a comparison of paddock-
and animal-scale measurements, Aust. J. Exp. Agr., 48, 132–137, https://doi.org/10.1071/EA07256, 2008.
Lockyer, D. R. and Jarvis, S. C.: The measurement of methane losses from
grazing animals, Environ. Pollut., 90, 383–390, https://doi.org/10.1016/0269-7491(95)00009-G, 1995.
McGinn, S. M., Turner, D., Tomkins, N., Charmley, E., Bishop-Hurley, G., and
Chen, D.: Methane Emissions from Grazing Cattle Using Point-Source
Dispersion, J. Environ. Qual., 40, 22–27, https://doi.org/10.2134/jeq2010.0239, 2011.
McGinn, S. M., Flesch, T. K., Coates, T. W., Charmley, E., Chen, D., Bai,
M., and Bishop-Hurley, G.: Evaluating dispersion modelling options to
estimate methane emissions from grazing beef cattle, J. Environ. Qual., 44,
97–102, https://doi.org/10.2134/jeq2014.06.0275, 2015.
McGinn, S. M., Flesch, T. K., Beauchemin, K. A., Shreck, A., and Kindermann,
M.: Micrometeorological Methods for Measuring Methane Emission Reduction at
Beef Cattle Feedlots: Evaluation of 3-Nitrooxypropanol Feed Additive, J.
Environ. Qual., 48, 1454–1461, https://doi.org/10.2134/jeq2018.11.0412, 2019.
Min, B. R., Solaiman, S., Waldrip, H. M., Parker, D., Todd, R. W., and
Brauer, D.: Dietary mitigation of enteric methane emissions from ruminants:
A review of plant tannin mitigation options, Anim. Nutr., 6, 231–246,
https://doi.org/10.1016/j.aninu.2020.05.002, 2020.
Myhre, G., Shindell, D., Bréon, F.-M., Collins, W., Fuglestvedt, J.,
Huang, J., Koch, D., Lamarque, J.-F., Lee, D., Mendoza, B., Nakajima, T.,
Robock, A., Stephens, G., Takemura, T., and Zhang, H.: Anthropogenic and
Natural Radiative Forcing, in: Climate Change 2013: The Physical Science
Basis. Contribution of Working Group I to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2013.
Ominski, K. H., Boadi, D. A., and Wittenberg, K. M.: Enteric methane
emissions from backgrounded cattle consuming all-forage diets, Can. J. Anim.
Sci., 86, 393–400, https://doi.org/10.4141/A05-051, 2006.
Paton-Walsh, C., Smith, T. E. L., Young, E. L., Griffith, D. W. T., and Guérette, É.-A.: New emission factors for Australian vegetation fires measured using open-path Fourier transform infrared spectroscopy – Part 1: Methods and Australian temperate forest fires, Atmos. Chem. Phys., 14, 11313–11333, https://doi.org/10.5194/acp-14-11313-2014, 2014.
Rothman, L. S., Gordon, I. E., Barbe, A., Benner, D. C., Bernath, P. F.,
Birk, M., Boudon, V., Brown, L. R., Campargue, A., Champion, J. P., Chance,
K., Coudert, L. H., Dana, V., Devi, V. M., Fally, S., Flaud, J. M., Gamache,
R. R., Goldman, A., Jacquemart, D., Kleiner, I., Lacome, N., Lafferty, W.
J., Mandin, J. Y., Massie, S. T., Mikhailenko, S. N., Miller, C. E.,
Moazzen-Ahmadi, N., Naumenko, O. V., Nikitin, A. V., Orphal, J., Perevalov,
V. I., Perrin, A., Predoi-Cross, A., Rinsland, C. P., Rotger, M.,
Šimečková, M., Smith, M. A. H., Sung, K., Tashkun, S. A.,
Tennyson, J., Toth, R. A., Vandaele, A. C., and Vander Auwera, J.: The
HITRAN 2008 molecular spectroscopic database, J. Quant. Spectrosc. Ra., 110,
533–572, https://doi.org/10.1016/j.jqsrt.2009.02.013, 2009.
Smith, T. E. L., Wooster, M. J., Tattaris, M., and Griffith, D. W. T.: Absolute accuracy and sensitivity analysis of OP-FTIR retrievals of CO2, CH4 and CO over concentrations representative of “clean air” and “polluted plumes”, Atmos. Meas. Tech., 4, 97–116, https://doi.org/10.5194/amt-4-97-2011, 2011.
Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., and
Tignor, M.: Contribution of Working Group I to the Fourth Assessment Report
of the Intergovernmental Panel on Climate Change Climate Change 2007: The
Physical Science Basis, edited by: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M., and Miller, H. L., Cambridge University Press, Cambridge, United
Kingdom and New York, NY, USA, 2007.
Todd, R. W., Altman, M. B., Cole, N. A., and Waldrip, H. M.: Methane
Emissions from a Beef Cattle Feedyard during Winter and Summer on the
Southern High Plains of Texas, J. Environ. Qual., 43, 1125–1130, https://doi.org/10.2134/jeq2013.09.0386, 2014.
Tomkins, N. W. and Charmley, E.: Herd-scale measurements of methane
emissions from cattle grazing extensive sub-tropical grasslands using the
open-path laser technique, Animal, 9, 2029–2038, https://doi.org/10.1017/S1751731115001688, 2015.
Vyas, D., Alemu, A. W., McGinn, S. M., Duval, S. M., Kindermann, M., and
Beauchemin, K. A.: The combined effects of supplementing monensin and
3-nitrooxypropanol on methane emissions, growth rate, and feed conversion
efficiency in beef cattle fed high-forage and high-grain diets, J. Anim.
Sci., 96, 2923–2938, https://doi.org/10.1093/jas/sky174, 2018.
Zimmerman, P. R. and Zimmerman, R. S.: Method and system for monitoring and
reducing ruminant methane production, in: U.S Patent 13/087,051, C-Lock, Inc., Rapid City, SD, USA, 2012.
Short summary
The development and validation of management practices to mitigate methane (CH4) emissions from livestock require accurate emission measurements. We compared the inverse dispersion modelling (IDM) and tracer-ratio techniques to measure CH4 emissions from cattle. Both measurements agreed well but were higher than IPCC estimates. We suggest that the IDM approach can provide an accurate method of estimating cattle emissions, and IPCC estimates may have larger uncertainties.
The development and validation of management practices to mitigate methane (CH4) emissions from...