Preprints
https://doi.org/10.5194/egusphere-2022-968
https://doi.org/10.5194/egusphere-2022-968
 
14 Nov 2022
14 Nov 2022
Status: this preprint is open for discussion.

Technical note: Isolating methane emissions from animal feeding operations in an interfering location

Megan E. McCabe1, Ilana B. Pollack2, Emily V. Fischer2, and Dana R. Caulton1 Megan E. McCabe et al.
  • 1Department of Atmospheric Science, University of Wyoming, Laramie, WY, 82071, USA
  • 2Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado, 80523, USA

Abstract. Agriculture emissions, including those from cattle and dairy concentrated animal feeding operations (CAFOs), make up a large portion of the United States’ total greenhouse gas emissions. However, many CAFOs reside in areas where methane (CH4) from oil and natural gas complicates the quantification of CAFO emissions. Traditional approaches to quantify emissions in such regions often relied on inventory subtraction of other known sources. We compare the results of two approaches to attribute a CAFO CH4 emission rate from an aircraft mass-balance derived CH4 emission rate. These methods make use of the CH4, ethane (C2H6) and ammonia (NH3) mixing ratio data collected simultaneously in-flight downwind of CAFOs in northeastern Colorado. The first approach, subtraction method, is similar to inventory subtraction except the amount to be removed is derived from the observed C2H6 to CH4 ratio rather than an inventory estimate. The results from this approach showed high uncertainty, primarily due to how error propagates through subtraction. Alternatively, multivariate regression (MVR) can be used to estimate CAFO CH4 emissions using the NH3 emission rate and an NH3 to CH4 ratio. These results showed significantly less uncertainty. We identified criteria to determine the best attribution method; these criteria can support attribution in other regions. The final emissions estimates for the CAFO presented here were 23 (±5) g CH4 head-1 hr-1 and 22 (±4) g NH3 head-1 hr-1. These estimates are significantly higher than the US EPA inventory and previous studies highlighting the need for more measurements of CH4 and NH3 emission rates.

Megan E. McCabe et al.

Status: open (until 26 Dec 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Megan E. McCabe et al.

Megan E. McCabe et al.

Viewed

Total article views: 258 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
198 55 5 258 18 2 5
  • HTML: 198
  • PDF: 55
  • XML: 5
  • Total: 258
  • Supplement: 18
  • BibTeX: 2
  • EndNote: 5
Views and downloads (calculated since 14 Nov 2022)
Cumulative views and downloads (calculated since 14 Nov 2022)

Viewed (geographical distribution)

Total article views: 248 (including HTML, PDF, and XML) Thereof 248 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2022
Download
Short summary
Agriculture emissions, including those from cattle and dairy feeding operations, make up a large portion of the United States’ total greenhouse gas emissions, but many of these operations reside in areas where methane from oil and natural gas is prevalent, making it difficult to attribute methane in these areas. This work investigates two approaches to emission attribution for a cattle feeding operation and provides guidance for emission attribution in other complicated regions.