@article{62120, author = {Seongeun Jeong and Xinguang Cui and Donald R Blake and Benjamin R Miller and Stephen A Montzka and Arlyn E Andrews and Abhinav Guha and Philip T Martien and Ray P Bambha and Brian W LaFranchi and Hope A Michelsen and Craig B Clements and Pierre Glaize and Marc L Fischer}, title = {Estimating methane emissions from biological and fossil-fuel sources in the San Francisco Bay Area}, 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 {\textendash} 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 1 km CH4 emission model, and an atmospheric transport model. We estimate that SFBA CH4 emissions are 166{\textendash}289 Gg CH4/yr (at 95\% confidence), 1.3{\textendash}2.3 times higher than a recent inventory with much of the underestimation from landfill. Including the VOCs, 82 27\% of total posterior median CH4 emissions are biological and 17 3\% fossil fuel, where landfill and natural gas dominate the biological and fossil-fuel CH4 of prior emissions, respectively.
}, year = {2017}, booktitle = {Geophysical Research Letters}, journal = {Geophysical Research Letters}, series = {Geophysical Research Letters}, edition = {2}, pages = {486 - 495}, month = {01/2017}, doi = {10.1002/2016GL071794}, }