Estimating methane emissions from biological and fossil‐fuel sources in the San Francisco Bay Area
- Energy Analysis and Environmental Impacts Division Lawrence Berkeley National Laboratory Berkeley California USA
- Department of Chemistry University of California Irvine California USA
- Earth System Research Laboratory NOAA Boulder Colorado USA
- Bay Area Air Quality Management District San Francisco California USA
- Sandia National Laboratories Livermore California USA
- 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
Web of Science
Similar Records
Evaluating and Improving the USGS 3D Seismic Velocity Model in the San Francisco East Bay by Integrating Earthquake Ground-Motion Simulations and Noise-Derived Empirical Green's Functions
Computational Approach for Improving Three-Dimensional Sub-Surface Earth Structure for Regional Earthquake Hazard Simulations in the San Francisco Bay Area