Abstract. In this study, we present a novel approach for assessing nearshore
seepage atmospheric emissions through modeling of air quality station data,
specifically a Gaussian plume inversion model. A total of 3 decades of air quality
station meteorology and total hydrocarbon concentration, THC, data were
analyzed to study emissions from the Coal Oil Point marine seep field
offshore California. THC in the seep field directions was significantly
elevated and Gaussian with respect to wind direction, θ. An
inversion model of the seep field, θ-resolved anomaly,
THC′(θ)-derived atmospheric emissions is given. The model inversion is for the
far field, which was satisfied by gridding the sonar seepage and treating
each grid cell as a separate Gaussian plume. This assumption was validated
by offshore in situ data that showed major seep area plumes were Gaussian. Plume total carbon, TC (TC = THC + carbon dioxide, CO2, + carbon monoxide), 18 % was CO2 and 82 % was THC; 85 % of THC was CH4. These compositions
were similar to the seabed composition, demonstrating efficient vertical
plume transport of dissolved seep gases. Air samples also measured
atmospheric alkane plume composition. The inversion model used observed
winds and derived the 3-decade-average (1990–2021) field-wide
atmospheric emissions of 83 400 ± 12 000 m3 THC d−1 (27 Gg THC yr−1 based on 19.6 g mol−1 for THC). Based on a 50 : 50 air-to-seawater partitioning, this implies seabed emissions of 167 000 m3 THC d−1. Based on atmospheric plume composition, C1–C6 alkane emissions were 19, 1.3, 2.5, 2.2, 1.1, and 0.15 Gg yr−1, respectively.
The spatially averaged CH4 emissions over the ∼ 6.3 km2 of 25 × 25 m2 bins with sonar values above noise were
5.7 µM m−2 s−1. The approach can be extended to derive
emissions from other dispersed sources such as landfills, industrial sites,
or terrestrial seepage if source locations are constrained spatially.