Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/51531
Title: Beef cattle methane emissions measured with tracer-ratio and inverse dispersion modelling techniques
Contributor(s): Bai, Mei (author); Velazco, José I (author); Coates, Trevor W (author); Phillips, Frances A (author); Flesch, Thomas K (author); Hill, Julian (author); Mayer, David G (author); Tomkins, Nigel W (author); Hegarty, Roger S  (author); Chen, Deli  (author)
Publication Date: 2021-05-12
Open Access: Yes
DOI: 10.5194/amt-14-3469-2021
Handle Link: https://hdl.handle.net/1959.11/51531
Abstract: 

The development and validation of management practices to mitigate greenhouse gas (GHG) emissions from livestock require accurate emission measurements. This study assessed the accuracy of a practical inverse dispersion modelling (IDM) technique to quantify methane (CH4) emitted from a small cattle herd (16 animals) confined to a 63 m × 60 m experimental pen. The IDM technique calculates emissions from the increase in the CH4 concentration measured downwind of the animals. The measurements were conducted for 7 d. Two types of open-path (OP) gas sensors were used to measure concentration in the IDM calculation: a Fourier transform infrared spectrometer (IDM-FTIR) or a CH4 laser (IDM-Laser). The actual cattle emission rate was measured with a tracer-ratio technique using nitrous oxide (N2O) as the tracer gas. We found very good agreement between the two IDM emission estimates (308.1 ± 2.1 – mean ± SE – and 304.4 ± 8.0 g CH4 head−1 d−1 for the IDM-FTIR and IDM-Laser respectively) and the tracer-ratio measurements (301.9 ± 1.5 g CH4 head−1 d−1). This study suggests that a practical IDM measurement approach can provide an accurate method of estimating cattle emissions.

Publication Type: Journal Article
Source of Publication: Atmospheric Measurement Techniques, 14(5), p. 3469-3479
Publisher: Copernicus GmbH
Place of Publication: Germany
ISSN: 1867-8548
1867-1381
Fields of Research (FoR) 2020: 300307 Environmental studies in animal production
Socio-Economic Objective (SEO) 2020: 280101 Expanding knowledge in the agricultural, food and veterinary sciences
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science

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