Using near-surface atmospheric measurements as a proxy for quantifying field-scale soil gas flux

Abstract

Abstract. We present a new method for deriving surface soil gas flux at the field scale, which is less field-work intensive than traditional chamber techniques and less expensive than those derived from airborne or space surveys. The technique uses aspects of chamber and micrometeorological methods combined with a mobile platform and GPS to rapidly derive soil gas fluxes at the field-scale. There are several assumptions in using this method, which will be most accurate under stable atmospheric conditions with little horizontal wind flow. Results show that soil gas fluxes, when averaged across a field site, are highly comparable between the method presented and traditional chamber acquisition techniques. Atmospheric dilution is found to reduce the range of flux values under the open field-scale method, when compared to chamber derived results. Under ideal atmospheric conditions it may be possible to use the presented method to derive soil gas flux at an individual point, however this requires further investigation. The new method for deriving soil-atmosphere gas exchange at the field-scale could be useful for a number of applications including quantification of CCS leakage, diffuse degassing in volcanic and geothermal areas and greenhouse-gas emissions.

Monte Carlo simulations to assess the uncertainty of locating and quantifying CO2 leakage flux from deep geological or anthropogenic sources

“…In this regard, both kriging and SGS would benefit from the use of a high resolution dataset of a linked parameter that could be used to both help choose appropriate sample spacing/ locations and for variogram definition and co-kriging. One such possibility is a map of CO 2 concentration anomalies at ground level (Beaubien et al 2018) or just above it manuscript submitted to Stochastic Environmental Research and Risk Assessment (Barkwith et al 2020), data which can be collected rapidly at high resolution. Our group is in the process of assessing this approach by combining these two datasets for MC-Flux simulations.…”