Methane emissions from dairies in the Los Angeles Basin

Viatte, Camille; Lauvaux, Thomas; Hedelius, Jacob K.; Parker, Harrison; Chen, Jia; Jones, Taylor; Franklin, Jonathan E.; Deng, Aijun J.; Gaudet, Brian; Verhulst, Kristal; Duren, Riley; Wunch, Debra; Roehl, Coleen; Dubey, Manvendra K.; Wofsy, Steve; Wennberg, Paul O.

doi:10.5194/acp-17-7509-2017

Title: Methane emissions from dairies in the Los Angeles Basin

Journal Article · Wed Jun 21 00:00:00 EDT 2017 · Atmospheric Chemistry and Physics (Online)

DOI:https://doi.org/10.5194/acp-17-7509-2017· OSTI ID:1463494

Viatte, Camille ^[1]; Lauvaux, Thomas ^[2];

^[1]; Parker, Harrison ^[3]; Chen, Jia ^[4]; Jones, Taylor ^[4]; Franklin, Jonathan E. ^[4]; Deng, Aijun J. ^[2]; Gaudet, Brian ^[2];

^[5]; Duren, Riley ^[5];

^[1]; Roehl, Coleen ^[1]; Dubey, Manvendra K. ^[3]; Wofsy, Steve ^[4]; Wennberg, Paul O. ^[1]

California Inst. of Technology (CalTech), Pasadena, CA (United States). Division of Geological and Planetary Sciences
Pennsylvania State Univ., University Park, PA (United States). Dept. of Meteorology
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Harvard Univ., Cambridge, MA (United States). School of Engineering and Applied Sciences
California Inst. of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Lab.

We estimate the amount of methane (CH₄) emitted by the largest dairies in the southern California region by combining measurements from four mobile solar-viewing ground-based spectrometers (EM27/SUN), in situ isotopic ^13/12CH₄ measurements from a CRDS analyzer (Picarro), and a high-resolution atmospheric transport simulation with a Weather Research and Forecasting model in large-eddy simulation mode (WRF-LES). The remote sensing spectrometers measure the total column-averaged dry-air mole fractions of CH₄ and CO₂ (X_CH₄ and X_CO₂) in the near infrared region, providing information on total emissions of the dairies at Chino. Differences measured between the four EM27/SUN ranged from 0.2 to 22ppb (part per billion) and from 0.7 to 3ppm (part per million) for X_CH₄ and X_CO₂, respectively. To assess the fluxes of the dairies, these differential measurements are used in conjunction with the local atmospheric dynamics from wind measurements at two local airports and from the WRF-LES simulations at 111m resolution. Our top-down CH₄ emissions derived using the Fourier transform spectrometers (FTS) observations of 1.4 to 4.8ppts^-1 are in the low end of previous top-down estimates, consistent with reductions of the dairy farms and urbanization in the domain. However, the wide range of inferred fluxes points to the challenges posed by the heterogeneity of the sources and meteorology. Inverse modeling from WRF-LES is utilized to resolve the spatial distribution of CH₄ emissions in the domain. Both the model and the measurements indicate heterogeneous emissions, with contributions from anthropogenic and biogenic sources at Chino. A Bayesian inversion and a Monte Carlo approach are used to provide the CH₄ emissions of 2.2 to 3.5ppts^-1 at Chino.

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Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); California Institute of Technology (CalTech), Pasadena, CA (United States); Harvard Univ., Cambridge, MA (United States)

Sponsoring Organization:: USDOE; LANL Laboratory Directed Research and Development (LDRD) Program; National Aeronautics and Space Administration (NASA); W. M. Keck Foundation (United States); National Science Foundation (NSF)

Grant/Contract Number:: AC52-06NA25396; 1337512

OSTI ID:: 1463494

Report Number(s):: LA-UR-18-21241

Journal Information:: Atmospheric Chemistry and Physics (Online), Vol. 17, Issue 12; ISSN 1680-7324

Publisher:: European Geosciences UnionCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 37 works

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