Abstract
Top-down studies have found consistent underestimations in the United States Environmental Protection Agency (EPA) methane emissions inventory from the oil and gas (O&G) sector. Many of these studies use observations that bias toward hours when worktime activity occurs. In this study, we analyze over 2 years of methane measurements from a tower network in the Delaware basin to analyze hourly temporal emission patterns. Inversion results suggest a range in emissions from 137 Mg/hr at night to 197 Mg/hr during the day, present during both weekdays and weekends. If these results are applicable to other basins, daytime-influenced methodologies may overestimate daily emission rates by up to 27%. This bias does not reconcile the more than 200% difference between the EPA inventory and top-down estimates in the Delaware basin. This study demonstrates how continuous measurement networks can be combined with detailed activity data to improve bottom-up inventories.
| Original language | English (US) |
|---|---|
| Article number | e2024JD042050 |
| Journal | Journal of Geophysical Research: Atmospheres |
| Volume | 130 |
| Issue number | 6 |
| DOIs | |
| State | Published - Mar 28 2025 |
All Science Journal Classification (ASJC) codes
- Geophysics
- Atmospheric Science
- Space and Planetary Science
- Earth and Planetary Sciences (miscellaneous)
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