Atmospheric characterization through fused mobile airborne and surface in situ surveys: Methane emissions quantification from a producing oil field

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Abstract

Methane (CH4) inventory uncertainties are large, requiring robust emission derivation approaches. We report on a fused airborne-surface data collection approach to derive emissions from an active oil field near Bakersfield, central California. The approach characterizes the atmosphere from the surface to above the planetary boundary layer (PBL) and combines downwind trace gas concentration anomaly (plume) above background with normal winds to derive flux. This approach does not require a well-mixed PBL; allows explicit, data-based, uncertainty evaluation; and was applied to complex topography and wind flows. In situ airborne (collected by AJAX - the Alpha Jet Atmospheric eXperiment) and mobile surface (collected by AMOG - the AutoMObile trace Gas - Surveyor) data were collected on 19 August 2015 to assess source strength. Data included an AMOG and AJAX intercomparison transect profiling from the San Joaquin Valley (SJV) floor into the Sierra Nevada (0.1-2.2km altitude), validating a novel surface approach for atmospheric profiling by leveraging topography. The profile intercomparison found good agreement in multiple parameters for the overlapping altitude range from 500 to 1500m for the upper 5% of surface winds, which accounts for wind-impeding structures, i.e., terrain, trees, buildings, etc. Annualized emissions from the active oil fields were 31.3±16Gg methane and 2.4±1.2Tg carbon dioxide. Data showed the PBL was not well mixed at distances of 10-20km downwind, highlighting the importance of the experimental design.

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Leifer, I., Melton, C., Fischer, M. L., Fladeland, M., Frash, J., Gore, W., … Yates, E. L. (2018). Atmospheric characterization through fused mobile airborne and surface in situ surveys: Methane emissions quantification from a producing oil field. Atmospheric Measurement Techniques, 11(3), 1689–1705. https://doi.org/10.5194/amt-11-1689-2018

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