@article{34406,
  author = {Abhinav Guha and Sally Newman and David Fairley and Tan M Dinh and Linda Duca and Stephen C Conley and Mackenzie L Smith and Andrew K Thorpe and Riley Duren and Daniel H Cusworth and Kelsey T Foster and Marc L Fischer and Seongeun Jeong and Nazli Yesiller and James L Hanson and Philip T Martien},
  title = {Assessment of Regional Methane Emission Inventories through Airborne Quantification in the San Francisco Bay AreaAssessment of Regional Methane Emission Inventories through Airborne Quantification in the San Francisco Bay Area},
  abstract = {<p>This study derives methane emission rates from 92 airborne observations collected over 23 facilities including 5 refineries, 10 landfills, 4 wastewater treatment plants (POTWs), 2 composting operations, and 2 dairies in the San Francisco Bay Area. Emission rates are measured using an airborne mass-balance technique from a low-flying aircraft. Annual measurement-based sectorwide methane emissions are 19,000 ± 2300 Mg for refineries, 136,700 ± 25,900 Mg for landfills, 11,900 ± 1,500 Mg for POTWs, and 11,100 ± 3,400 Mg for composting. The average of measured emissions for each refinery ranges from 4 to 23 times larger than the corresponding emissions reported to regulatory agencies, while measurement-derived landfill and POTW estimates are approximately twice the current inventory estimates. Significant methane emissions at composting facilities indicate that a California mandate to divert organics from landfills to composting may not be an effective measure for mitigating methane emissions unless best management practices are instituted at composting facilities. Complementary evidence from airborne remote sensing imagery indicates atmospheric venting from refinery hydrogen plants, landfill working surfaces, composting stockpiles, etc., to be among the specific source types responsible for the observed discrepancies. This work highlights the value of multiple measurement approaches to accurately estimate facility-scale methane emissions and perform source attribution at subfacility scales to guide and verify effective mitigation policy and action.</p>},
  year = {2020},
  journal = {Environmental Science & Technology},
  volume = {54},
  pages = {9254 - 9264},
  month = {04/2020},
  issn = {0013-936X},
  doi = {10.1021/acs.est.0c01212},
  language = {eng},
}