AI Article Synopsis

  • Atmospheric emissions from animal husbandry impact air quality and climate but vary greatly based on livestock type, management practices, and time of day or year.! -
  • A mobile laboratory measured emissions of ammonia, methane, and nitrous oxide from four concentrated animal feeding operations (CAFOs) in northeastern Colorado, revealing a consistent diurnal pattern in the ammonia to methane emissions ratio, peaking during midday.! -
  • The average ammonia to methane enhancement ratio of 0.17 across all CAFOs aligns with state averages and can help differentiate emissions from feedlots compared to other sources, aiding in more accurate emission modeling and inventories.!

Article Abstract

Atmospheric emissions from animal husbandry are important to both air quality and climate, but are hard to characterize and quantify as they differ significantly due to management practices and livestock type, and they can vary substantially throughout diurnal and seasonal cycles. Using a new mobile laboratory, ammonia (NH), methane (CH), nitrous oxide (NO), and other trace gas emissions were measured from four concentrated animal feeding operations (CAFOs) in northeastern Colorado. Two dairies, a beef cattle feedlot, and a sheep feedlot were chosen for repeated diurnal and seasonal measurements. A consistent diurnal pattern in the NH to CH enhancement ratio is clearly observed, with midday enhancement ratios approximately four times greater than nighttime values. This diurnal pattern is similar, with slight variations in magnitude, at the four CAFOs and across seasons. The average NH to CH enhancement ratio from all seasons and CAFOs studied is 0.17 (+0.13/-0.08) mol/mol, in agreement with statewide inventory averages and previous literature. Enhancement ratios for NH to NO and NO to CH are also reported. The enhancement ratios can be used as a source signature to distinguish feedlot emissions from other NH and CH sources, such as fertilizer application and fossil fuel development, and the large diurnal variability is important for refining inventories, models, and emission estimates.

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Source
http://dx.doi.org/10.1021/acs.est.6b02851DOI Listing

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