Abstract
A monitoring method is introduced that creates 2-D maps of the soil gas distribution. The method combines linear gas sensing technology for in situ monitoring of gases in soil with the mapping capabilities of computed tomography to reconstruct spatial and temporal resolved gas distribution maps. A weighted iterative algebraic reconstruction method based on maximum likelihood with expectation maximization in combination with a source-by-source reconstruction approach is introduced that works with a sparse setup of orthogonally aligned linear gas sensors. The reconstruction method successfully reduces artifact production, especially when multiple gas sources are present, allowing the discrimination between true and non-existing the so-called ghost source locations. Experimental validation by controlled field experiments indicates the high potential of the proposed method for rapid gas leak localization and quantification with respect to pipeline or underground gas storage issues.
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