Ammonia and methane emissions from dairy concentrated animal feeding operations in California, using mobile optical remote sensing
Artikel i vetenskaplig tidskrift, 2023

Dairy concentrated animal feeding operations (CAFOs) are significant sources of methane (CH4) and ammonia (NH3) emissions in the San Joaquin Valley, California. Optical techniques, namely, remote sensing by Solar Occultation Flux (SOF) and Mobile extractive FTIR (MeFTIR), were used to measure NH3 air column and ground air concentrations of NH3 and CH4, respectively. Campaigns were performed in May and October 2019 and covered 14 dairies located near Bakersfield and Tulare, California. NH3 and CH4 emission rates from single CAFOs averaged 101.9 ± 40.6 kgNH3/h and 437.7 ± 202.0 kgCH4/h, respectively, corresponding to emission factors (EFs) per livestock unit of 9.1 ± 2.7 gNH3/LU/h and 40.1 ± 17.8 gCH4/LU/h. The NH3 emissions had a median standard uncertainty of 17% and an expanded uncertainty (95% Confidence Interval (CI)) of 37%; meanwhile, CH4 emissions estimates had greater uncertainty, median of 25% and 53% (in the 95% CI). Decreasing NH3 to CH4 ratios and NH3 EFs from early afternoon (13:00) to early night (19:00) indicated a diurnal emission pattern with lower ammonia emissions during the night. On average, measured NH3 emissions were 28% higher when compared to daytime emission rates reported in the National Emissions Inventory (NEI) and modeled according to diurnal variation. Measured CH4 emissions were 60% higher than the rates reported in the California Air Resources Board (CARB) inventory. However, comparison with airborne measurements showed similar emission rates. This study demonstrates new air measurement methods, which can be used to quantify emissions over large areas with high spatial resolution and in a relatively short time period. These techniques bridge the gap between satellites and individual CAFOs measurements.

CAFO

Emission factor

Dairy

Emission inventory

SOF

Författare

Nathalia T. Vechi

Danmarks Tekniske Universitet (DTU)

Johan Mellqvist

Chalmers, Rymd-, geo- och miljövetenskap, Geovetenskap och fjärranalys

J. Samuelsson

FluxSense AB

Brian Offerle

FluxSense AB

C. Scheutz

Danmarks Tekniske Universitet (DTU)

Atmospheric Environment

1352-2310 (ISSN) 1873-2844 (eISSN)

Vol. 293 119448

Ämneskategorier

Meteorologi och atmosfärforskning

Naturgeografi

Miljövetenskap

DOI

10.1016/j.atmosenv.2022.119448

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Senast uppdaterat

2023-06-02