Estimating methane emissions from biological and fossil‐fuel sources in the San Francisco Bay Area
Abstract
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.
- Authors:
-
[1];
[1];
[3];
[3];
[3];
[4];
[5];
[6];
[6];
[1]
- 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
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1402329
- Grant/Contract Number:
- DE‐AC02‐05CH11231
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Geophysical Research Letters
- Additional Journal Information:
- Journal Name: Geophysical Research Letters Journal Volume: 44 Journal Issue: 1; Journal ID: ISSN 0094-8276
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Jeong, Seongeun, Cui, Xinguang, Blake, Donald R., Miller, Ben, Montzka, Stephen A., Andrews, Arlyn, Guha, Abhinav, Martien, Philip, Bambha, Ray P., LaFranchi, Brian, Michelsen, Hope A., Clements, Craig B., Glaize, Pierre, and Fischer, Marc L. Estimating methane emissions from biological and fossil‐fuel sources in the San Francisco Bay Area. United States: N. p., 2017.
Web. doi:10.1002/2016GL071794.
Jeong, Seongeun, Cui, Xinguang, Blake, Donald R., Miller, Ben, Montzka, Stephen A., Andrews, Arlyn, Guha, Abhinav, Martien, Philip, Bambha, Ray P., LaFranchi, Brian, Michelsen, Hope A., Clements, Craig B., Glaize, Pierre, & Fischer, Marc L. Estimating methane emissions from biological and fossil‐fuel sources in the San Francisco Bay Area. United States. https://doi.org/10.1002/2016GL071794
Jeong, Seongeun, Cui, Xinguang, Blake, Donald R., Miller, Ben, Montzka, Stephen A., Andrews, Arlyn, Guha, Abhinav, Martien, Philip, Bambha, Ray P., LaFranchi, Brian, Michelsen, Hope A., Clements, Craig B., Glaize, Pierre, and Fischer, Marc L. Mon .
"Estimating methane emissions from biological and fossil‐fuel sources in the San Francisco Bay Area". United States. https://doi.org/10.1002/2016GL071794.
@article{osti_1402329,
title = {Estimating methane emissions from biological and fossil‐fuel sources in the San Francisco Bay Area},
author = {Jeong, Seongeun and Cui, Xinguang and Blake, Donald R. and Miller, Ben and Montzka, Stephen A. and Andrews, Arlyn and Guha, Abhinav and Martien, Philip and Bambha, Ray P. and LaFranchi, Brian and Michelsen, Hope A. and Clements, Craig B. and Glaize, Pierre and Fischer, Marc L.},
abstractNote = {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.},
doi = {10.1002/2016GL071794},
journal = {Geophysical Research Letters},
number = 1,
volume = 44,
place = {United States},
year = {Mon Jan 09 00:00:00 EST 2017},
month = {Mon Jan 09 00:00:00 EST 2017}
}
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