Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1109/JSEN.2016.2545103
Title (Primary) Tomographic reconstruction of soil gas distribution from multiple gas sources based on sparse sampling
Author Neumann, P.P.; Lazik, D.; Bartholmai, M.
Source Titel IEEE Sensors Journal
Year 2016
Department BOPHY
Volume 16
Issue 11
Page From 4501
Page To 4508
Language englisch
UFZ wide themes RU1
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.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=17503
Neumann, P.P., Lazik, D., Bartholmai, M. (2016):
Tomographic reconstruction of soil gas distribution from multiple gas sources based on sparse sampling
IEEE Sens. J. 16 (11), 4501 - 4508 10.1109/JSEN.2016.2545103