Estimating methane emissions from biological and fossil-fuel sources in the San Francisco Bay Area

GEOPHYSICAL RESEARCH LETTERS(2017)

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Abstract
We present the first sector-specific analysis of methane (CH4) emissions from the San Francisco Bay Area (SFBA) using CH4 and volatile organic compound (VOC) measurements from six sites during September - December 2015. We apply a hierarchical Bayesian inversion to separate the biological from fossil-fuel (natural gas and petroleum) sources using the measurements of CH4 and selected VOCs, a source-specific 1km CH4 emission model, and an atmospheric transport model. We estimate that SFBA CH4 emissions are 166-289GgCH(4)/yr (at 95% confidence), 1.3-2.3 times higher than a recent inventory with much of the underestimation from landfill. Including the VOCs, 8227% of total posterior median CH4 emissions are biological and 173% fossil fuel, where landfill and natural gas dominate the biological and fossil-fuel CH4 of prior emissions, respectively.
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Key words
methane,greenhouse gas,natural gas,emission inventory,atmospheric transport,inverse model
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