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Title: Estimating methane emissions from biological and fossil‐fuel sources in the San Francisco Bay Area

Journal Article · · Geophysical Research Letters
DOI:https://doi.org/10.1002/2016GL071794· OSTI ID:1402329
ORCiD logo [1]; ORCiD logo [1];  [2]; ORCiD logo [3]; ORCiD logo [3]; ORCiD logo [3];  [4]; ORCiD logo [4];  [5]; ORCiD logo [5];  [5]; ORCiD logo [6]; ORCiD logo [6]; ORCiD logo [1]
  1. Energy Analysis and Environmental Impacts Division Lawrence Berkeley National Laboratory Berkeley California USA
  2. Department of Chemistry University of California Irvine California USA
  3. Earth System Research Laboratory NOAA Boulder Colorado USA
  4. Bay Area Air Quality Management District San Francisco California USA
  5. Sandia National Laboratories Livermore California USA
  6. Department of Meteorology and Climate Science San Jose State University San Jose California USA

Abstract We present the first sector‐specific analysis of methane (CH 4 ) emissions from the San Francisco Bay Area (SFBA) using CH 4 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 CH 4 and selected VOCs, a source‐specific 1 km CH 4 emission model, and an atmospheric transport model. We estimate that SFBA CH 4 emissions are 166–289 Gg CH 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, 82 ± 27% of total posterior median CH 4 emissions are biological and 17 ± 3% fossil fuel, where landfill and natural gas dominate the biological and fossil‐fuel CH 4 of prior emissions, respectively.

Sponsoring Organization:
USDOE
Grant/Contract Number:
DE‐AC02‐05CH11231
OSTI ID:
1402329
Journal Information:
Geophysical Research Letters, Journal Name: Geophysical Research Letters Vol. 44 Journal Issue: 1; ISSN 0094-8276
Publisher:
American Geophysical Union (AGU)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 23 works
Citation information provided by
Web of Science

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