Articles | Volume 15, issue 11
https://doi.org/10.5194/amt-15-3593-2022
© Author(s) 2022. 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-15-3593-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Jun 2022
Research article |
| 15 Jun 2022
| 15 Jun 2022
Performance of open-path lasers and Fourier transform infrared spectroscopic systems in agriculture emissions research
Faculty of Veterinary and Agricultural Sciences, The University of
Melbourne,Parkville, Victoria 3010, Australia
Zoe Loh
CSIRO Oceans & Atmosphere, PMB 1, Aspendale, Victoria 3195, Australia
David W. T. Griffith
School of Chemistry & Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, New South Wales 2522, Australia
Debra Turner
Faculty of Veterinary and Agricultural Sciences, The University of
Melbourne,Parkville, Victoria 3010, Australia
Richard Eckard
Faculty of Veterinary and Agricultural Sciences, The University of
Melbourne,Parkville, Victoria 3010, Australia
Robert Edis
Faculty of Veterinary and Agricultural Sciences, The University of
Melbourne,Parkville, Victoria 3010, Australia
Owen T. Denmead
CSIRO Agriculture and Food, GPO Box 1666, Canberra, Australian Capital Territory
2601, Australia
deceased
Glenn W. Bryant
School of Chemistry & Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, New South Wales 2522, Australia
Clare Paton-Walsh
School of Chemistry & Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, New South Wales 2522, Australia
Matthew Tonini
School of Chemistry & Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, New South Wales 2522, Australia
Sean M. McGinn
Agriculture and Agri-Food Canada, Lethbridge, Alberta, Canada
Deli Chen
Faculty of Veterinary and Agricultural Sciences, The University of
Melbourne,Parkville, Victoria 3010, Australia
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Thomas E. Taylor, Christopher W. O'Dell, David Crisp, Akhiko Kuze, Hannakaisa Lindqvist, Paul O. Wennberg, Abhishek Chatterjee, Michael Gunson, Annmarie Eldering, Brendan Fisher, Matthäus Kiel, Robert R. Nelson, Aronne Merrelli, Greg Osterman, Frédéric Chevallier, Paul I. Palmer, Liang Feng, Nicholas M. Deutscher, Manvendra K. Dubey, Dietrich G. Feist, Omaira E. García, David W. T. Griffith, Frank Hase, Laura T. Iraci, Rigel Kivi, Cheng Liu, Martine De Mazière, Isamu Morino, Justus Notholt, Young-Suk Oh, Hirofumi Ohyama, David F. Pollard, Markus Rettinger, Matthias Schneider, Coleen M. Roehl, Mahesh Kumar Sha, Kei Shiomi, Kimberly Strong, Ralf Sussmann, Yao Té, Voltaire A. Velazco, Mihalis Vrekoussis, Thorsten Warneke, and Debra Wunch
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Yohanna Villalobos, Peter J. Rayner, Jeremy D. Silver, Steven Thomas, Vanessa Haverd, Jürgen Knauer, Zoë M. Loh, Nicholas M. Deutscher, David W. T. Griffith, and David F. Pollard
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Matthieu Dogniaux, Cyril Crevoisier, Raymond Armante, Virginie Capelle, Thibault Delahaye, Vincent Cassé, Martine De Mazière, Nicholas M. Deutscher, Dietrich G. Feist, Omaira E. Garcia, David W. T. Griffith, Frank Hase, Laura T. Iraci, Rigel Kivi, Isamu Morino, Justus Notholt, David F. Pollard, Coleen M. Roehl, Kei Shiomi, Kimberly Strong, Yao Té, Voltaire A. Velazco, and Thorsten Warneke
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Stefan Noël, Maximilian Reuter, Michael Buchwitz, Jakob Borchardt, Michael Hilker, Heinrich Bovensmann, John P. Burrows, Antonio Di Noia, Hiroshi Suto, Yukio Yoshida, Matthias Buschmann, Nicholas M. Deutscher, Dietrich G. Feist, David W. T. Griffith, Frank Hase, Rigel Kivi, Isamu Morino, Justus Notholt, Hirofumi Ohyama, Christof Petri, James R. Podolske, David F. Pollard, Mahesh Kumar Sha, Kei Shiomi, Ralf Sussmann, Yao Té, Voltaire A. Velazco, and Thorsten Warneke
Atmos. Meas. Tech., 14, 3837–3869, https://doi.org/10.5194/amt-14-3837-2021, https://doi.org/10.5194/amt-14-3837-2021, 2021
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Mei Bai, José I. Velazco, Trevor W. Coates, Frances A. Phillips, Thomas K. Flesch, Julian Hill, David G. Mayer, Nigel W. Tomkins, Roger S. Hegarty, and Deli Chen
Atmos. Meas. Tech., 14, 3469–3479, https://doi.org/10.5194/amt-14-3469-2021, https://doi.org/10.5194/amt-14-3469-2021, 2021
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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.
Nicholas M. Deutscher, Travis A. Naylor, Christopher G. R. Caldow, Hamish L. McDougall, Alex G. Carter, and David W. T. Griffith
Atmos. Meas. Tech., 14, 3119–3130, https://doi.org/10.5194/amt-14-3119-2021, https://doi.org/10.5194/amt-14-3119-2021, 2021
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This work describes the performance of an open-path measurement system for greenhouse gases in an extended field trial. The instrument obtained measurement repeatability of 0.1 % or better for CO2 and CH4 measurements over a 1.55 km one-way pathway. Comparison to co-located in situ measurements allows characterisation of biases relative to global reference scales. The research was done to show the applicability of the technique and its ability to detect atmospheric-relevant sources and sinks.
Thomas Blumenstock, Frank Hase, Axel Keens, Denis Czurlok, Orfeo Colebatch, Omaira Garcia, David W. T. Griffith, Michel Grutter, James W. Hannigan, Pauli Heikkinen, Pascal Jeseck, Nicholas Jones, Rigel Kivi, Erik Lutsch, Maria Makarova, Hamud K. Imhasin, Johan Mellqvist, Isamu Morino, Tomoo Nagahama, Justus Notholt, Ivan Ortega, Mathias Palm, Uwe Raffalski, Markus Rettinger, John Robinson, Matthias Schneider, Christian Servais, Dan Smale, Wolfgang Stremme, Kimberly Strong, Ralf Sussmann, Yao Té, and Voltaire A. Velazco
Atmos. Meas. Tech., 14, 1239–1252, https://doi.org/10.5194/amt-14-1239-2021, https://doi.org/10.5194/amt-14-1239-2021, 2021
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This study investigates the level of channeling (optical resonances) of each FTIR spectrometer within the Network for the Detection of Atmospheric Composition Change (NDACC). Since the air gap of the beam splitter is a significant source of channeling, we propose new beam splitters with an increased wedge of the air gap. This study shows the potential for reducing channeling in the FTIR spectrometers operated by the NDACC, thereby increasing the quality of recorded spectra across the network.
Robert J. Parker, Alex Webb, Hartmut Boesch, Peter Somkuti, Rocio Barrio Guillo, Antonio Di Noia, Nikoleta Kalaitzi, Jasdeep S. Anand, Peter Bergamaschi, Frederic Chevallier, Paul I. Palmer, Liang Feng, Nicholas M. Deutscher, Dietrich G. Feist, David W. T. Griffith, Frank Hase, Rigel Kivi, Isamu Morino, Justus Notholt, Young-Suk Oh, Hirofumi Ohyama, Christof Petri, David F. Pollard, Coleen Roehl, Mahesh K. Sha, Kei Shiomi, Kimberly Strong, Ralf Sussmann, Yao Té, Voltaire A. Velazco, Thorsten Warneke, Paul O. Wennberg, and Debra Wunch
Earth Syst. Sci. Data, 12, 3383–3412, https://doi.org/10.5194/essd-12-3383-2020, https://doi.org/10.5194/essd-12-3383-2020, 2020
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This work presents the latest release of the University of Leicester GOSAT methane data and acts as the definitive description of this dataset. We detail the processing, validation and evaluation involved in producing these data and highlight its many applications. With now over a decade of global atmospheric methane observations, this dataset has helped, and will continue to help, us better understand the global methane budget and investigate how it may respond to a future changing climate.
Ashok K. Luhar, David M. Etheridge, Zoë M. Loh, Julie Noonan, Darren Spencer, Lisa Smith, and Cindy Ong
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With the sharp rise in coal seam gas (CSG) production in Queensland’s Surat Basin, there is much interest in quantifying methane emissions from this area and from unconventional gas production in general. We develop and apply a regional Bayesian inverse model that uses hourly methane concentration data from two sites and modelled backward dispersion to quantify emissions. The model requires a narrow prior and suggests that the emissions from the CSG areas are 33% larger than bottom-up estimates.
Mahesh Kumar Sha, Martine De Mazière, Justus Notholt, Thomas Blumenstock, Huilin Chen, Angelika Dehn, David W. T. Griffith, Frank Hase, Pauli Heikkinen, Christian Hermans, Alex Hoffmann, Marko Huebner, Nicholas Jones, Rigel Kivi, Bavo Langerock, Christof Petri, Francis Scolas, Qiansi Tu, and Damien Weidmann
Atmos. Meas. Tech., 13, 4791–4839, https://doi.org/10.5194/amt-13-4791-2020, https://doi.org/10.5194/amt-13-4791-2020, 2020
Short summary
Short summary
We present the results of the 2017 FRM4GHG campaign at the Sodankylä TCCON site aimed at characterising the assessment of several low-cost portable instruments for precise solar absorption measurements of column-averaged dry-air mole fractions of CO2, CH4, and CO. The test instruments provided stable and precise measurements of these gases with quantified small biases. This qualifies the instruments to complement TCCON and expand the global coverage of ground-based measurements of these gases.
Cited articles
Bai, M.: Methane emissions from livestock measured by
novel spectroscopic techniques, Doctor of Philosophy PhD thesis, School of
Chemistry, University of Wollongong, University of Wollongong, NSW,
Australia, 303 pp., 2010.
Bai, M., Flesch, T., McGinn, S., and Chen, D.: A snapshot of greenhouse gas
emissions from a cattle feedlot, J. Environ. Qual., 44, 1974–1978, https://doi.org/10.2134/jeq2015.06.0278, 2015.
Bai, M., Sun, J., Dassanayake, K. B., Benvenutti, M. A., Hill, J., Denmead,
O. T., Flesch, K. T., and Chen, D.: Non-interference measurement of
CH4, N2O and NH3 emissions from cattle, Anim. Prod. Sci., 56, 1496–1503, https://doi.org/10.1071/AN14992, 2016.
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.
Bjorneberg, L. D., Leytem, B. A., Westermann, T. D., Griffiths, R. P., Shao,
L., and Pollard, J. M.: Measurement of atmospheric ammonia, methane, and
nitrous oxide at a concentrated dairy production facility in Southern Idaho
using open-path FTIR Spectrometry, T. ASABE, 52, 1749–1756, https://doi.org/10.13031/2013.29137, 2009.
Bühler, M., Häni, C., Kupper, T., Ammann, C., and Brönnimann, S.: Quantification of methane emissions from waste water treatment plants, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13389, https://doi.org/10.5194/egusphere-egu2020-13389, 2020.
Crenna, B., Thomas, K. F., and Wilson, J. D.: WindTrax 2.0.6.8 (06 12 04).
Alberta Canada, http://www.thunderbeachscientific.com/ (lase access: 30 August 2021), 2006.
Denmead, O. T.: Novel meteorological methods for measuing trace gas fluxes,
Philos. T. R. Soc. A., 351, 383–396, 1995.
Denmead, O. T., Harper, L. A., Freney, J. R., Griffith, D. W. T., Leuning,
R., and Sharpe, R. R.: A mass balance method for non-intrusive measurements
of surface-air trace gas exchange, Atmos. Environ., 32, 3679–3688, 1998.
Denmead, O. T., Bai, M., Turner, D., Li, Y., Edis, R., and Chen, D.: Ammonia
emissions from irrigated pastures on Solonetz in Victoria, Australia,
Geoderma Regional, 20, e00254, https://doi.org/10.1016/j.geodrs.2020.e00254, 2020.
de Klein, C., Novoa, R. S. A., Ogle, S., Smith, K. A., Rochette, P., Wirth,
T. C., McConkey, B. G., Mosier, A., and Rypdal, K.: N2O emissions from
managed soils, and CO2 emissions from lime and urea application. In:
2006 IPCC Guidelines for National Greenhouse Gas Inventories Volume 4
Agriculture, Forestry and Other Land Use, edited by: Eggelston, S., Buendia, L., Miwa, K., Ngara, T., and Tanabe, K., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2006.
Esler, M. B., Griffith, D. W. T., Wilson, S. R., and Steele, L. P.:
Precision trace gas analysis by FT-IR Spectroscopy. 1. Simultaneous analysis
of CO2, CH4, N2O, and CO in Air, Anal. Chem., 72, 206–215, https://doi.org/10.1021/ac9905625, 2000.
Feitz, A., Schroder, I., Phillips, F., Coates, T., Negandhi, K., Day, S.,
Luhar, A., Bhatia, S., Edwards, G., Hrabar, S., Hernandez, E., Wood, B.,
Naylor, T., Kennedy, M., Hamilton, M., Hatch, M., Malos, J., Kochanek, M.,
Reid, P., Wilson, J., Deutscher, N., Zegelin, S., Vincent, R., White, S.,
Ong, C., George, S., Maas, P., Towner, S., Wokker, N., and Griffith, D.: The
Ginninderra CH4 and CO2 release experiment: An evaluation of gas
detection and quantification techniques, Int. J. Greenh. Gas Con., 70,
202–224, https://doi.org/10.1016/j.ijggc.2017.11.018, 2018.
Flesch, T. K., Wilson, J. D., and Yee, E.: Backward-time Lagrangian
stochastic dispersion models and their application to estimate gaseous
emissions, J. Appl. Meteorol. Clim., 34, 1320–1332,
https://doi.org/10.1175/1520-0450(1995)034<1320:BTLSDM>2.0.CO;2, 1995.
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 mole fractions:
A field trial, J. Appl. Meteorol. Clim., 43, 487–502, https://doi.org/10.1175/1520-0450(2004)043<0487:DGEFOT>2.0.CO;2, 2004.
Flesch, T. K., Desjardins, R. L., and Worth, D.: Fugitive methane emissions
from an agricultural biodigester, Biomass Bioenerg., 35, 3927–3935, https://doi.org/10.1016/j.biombioe.2011.06.009, 2011.
Flesch, T. K., Vergé, X. P. C., Desjardins, R. L., and Worth, D.:
Methane emissions from a swine manure tank in western Canada, Can. J. Anim.
Sci., 93, 159–169, https://doi.org/10.4141/cjas2012-072, 2012.
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, Agr. Forest Meteorol., 221, 111–121, https://doi.org/10.1016/j.agrformet.2016.02.010, 2016.
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., Deutscher, N. M., Caldow, C., Kettlewell, G., Riggenbach, M., and Hammer, S.: A Fourier transform infrared trace gas and isotope analyser for atmospheric applications, Atmos. Meas. Tech., 5, 2481–2498, https://doi.org/10.5194/amt-5-2481-2012, 2012.
Harper, L. A., Flesch, T. K., Powell, J. M., Coblentz, W. K., Jokela, W. E.,
and Martin, N. P.: Ammonia emissions from dairy production in Wisconsin, J.
Dairy Sci., 92, 2326–2337, https://doi.org/10.3168/jds.2008-1753, 2009.
Harper, L. A., Flesch, T. K., and Wilson, J. D.: Ammonia emissions from
broiler production in the San Joaquin Valley1, Poultry Sci., 89, 1802–1814, https://doi.org/10.3382/ps.2010-00718, 2010.
IPCC: Emissions from managed soils, and CO2 emissions from lime and
urea application, in: 2006 IPCC Guidelines for National Greenhouse Gas
Inventories. Vol. 4. Agriculture forestry and other land use, Ch. 11,
Prepared by the National Greenhouse Gas Inventories Programme, International
Panel on Climate Change, Hayama, Japan, 54 pp., 2006.
Laubach, J., Barthel, M., Fraser, A., Hunt, J. E., and Griffith, D. W. T.: Combining two complementary micrometeorological methods to measure CH4 and N2O fluxes over pasture, Biogeosciences, 13, 1309–1327, https://doi.org/10.5194/bg-13-1309-2016, 2016.
Loh, Z., Chen, D., Bai, M., Naylor, T., Griffith, D., Hill, J., Denmead, T.,
McGinn, S., and Edis, R.: Measurement of greenhouse gas emissions from
Australian feedlot beef production using open-path spectroscopy and
atmospheric dispersion modelling, Aust. J. Exp. Agr., 48, 244–247, 2008.
Loh, Z., Leuning, R., Zegelin, S., Etheridge, D., Bai, M., Naylor, T., and
Griffith, D.: Testing Lagrangian atmospheric dispersion modelling to monitor
CO2 and CH4 leakage from geosequestration, Atmos. Environ., 43,
2602–2611, 2009.
McGinn, S. M.: Measuring greenhouse gas emissions from point sources, Can.
J. Soil Sci., 86, 355–371, 2006.
McGinn, S. M. and Flesch, T. K.: Ammonia and greenhouse gas emissions at
beef cattle feedlots in Alberta Canada, Agr. Forest Meteorol., 258, 43–49, https://doi.org/10.1016/j.agrformet.2018.01.024, 2018.
McGinn, S. M., Flesch, T. K., Harper, L. A., and Beauchemin, K. A.: An
Approach for Measuring Methane Emissions from Whole Farms, J. Environ. Qual., 35, 14–20, https://doi.org/10.2134/jeq2005.0250, 2006.
McGinn, S. M., Coates, T., Flesch, T. K., and Crenna, B.: Ammonia emission
from dairy cow manure stored in a lagoon over summer, Can. J. Soil Sci., 88,
611–615, https://doi.org/10.4141/CJSS08002, 2008.
NIR: National Inventory Report 2015, Volume 1, Commonwealth of Australia
2017, https://www.awe.gov.au/, last access: 20 June 2017.
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.
Phillips, F. A., Naylor, T., Forehead, H., Griffith, D. W. T., Kirkwood, J.,
and Paton-Walsh, C.: Vehicle Ammonia Emissions Measured in An Urban
Environment in Sydney, Australia, Using Open Path Fourier Transform
Infra-Red Spectroscopy, Atmosphere, 10, 208, https://doi.org/10.3390/atmos10040208, 2019.
Rothman, L. S., Jacquemart, D., Barbe, A., Chris Benner, D., Birk, M.,
Brown, L. R., Carleer, M. R., Chackerian Jr, C., Chance, K., Coudert, L. H., Dana, V., Devi, V. M., Flaud, J. M., Gamache, R. R., Goldman, A., Hartmann, J. M., Jucks, K. W., Maki, A. G., Mandin, J. Y., Massie, S. T., Orphal, J., Perrin, A., Rinsland, C. P., Smith, M. A. H., Tennyson, J., Tolchenov, R. N., Toth, R. A., Vander Auwera, J., Varanasi, P., and Wagner, G.: The HITRAN 2004 molecular spectroscopic database, J. Quant. Spectrosc. Ra., 96, 139–204, https://doi.org/10.1016/j.jqsrt.2004.10.008, 2005.
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, P., Bustamante, M., Ahammad, H., Clark, H., Dong, H., Elsiddig, E.
A., Haberl, H., Harper, R., House, J., Jafari, M., Masera, O., Mbow, C.,
Ravindranath, N. H., Rice, C. W., Abad, C. R., Romanovskaya, A., Sperling,
F., and Tubiello, F.: Agriculture, Forestry and Other Land Use (AFOLU), in: Climate Change 2014: Mitigation of Climate Change. Contribution of
Working Group III to the Fifth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Edenhofer, O., Pichs-Madruga, R., Sokona, Y., Farahani, E., Kadner, S., Seyboth, K., Adler, A., Baum, I., Brunner, S., Eickemeier, P., Kriemann, B., Savolainen, J., Schlömer, S., von Stechow, C., Zwickel, T., and Minx, J. C., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2014.
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.
Tomkins, N. W., McGinn, S. M., Turner, D. A., and Charmley, E.: Comparison
of open-circuit respiration chambers with a micrometeorological method for
determining methane emissions from beef cattle grazing a tropical pasture,
Anim. Feed Sci. Tech., 166–167, 240–247, https://doi.org/10.1016/j.anifeedsci.2011.04.014, 2011.
Tonini, M.: Measuring methane emissions from cattle using an open path FTIR
tracer based method, Bachelor of Science with Honours, Department of
Chemistry, University of Wollongong, Wollongong, Australia, 68 pp., 2005.
VanderZaag, A. C., Flesch, T. K., Desjardins, R. L., Baldé, H., and
Wright, T.: Measuring methane emissions from two dairy farms: Seasonal and
manure-management effects, Agr. Forest Meteorol., 194, 259–267, https://doi.org/10.1016/j.agrformet.2014.02.003, 2014.
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.
The open-path laser (OPL) and open-path Fourier transform infrared (OP-FTIR) are used in...
