Publication Details

Reference Category Conference contributions
DOI / URL link
Title (Primary) Near real-time reconstruction of 2D soil gas distribution from a regular network of linear gas sensors
Title (Secondary) IEEE Sensors 2015, Busan, South Korea, November 1 - 4, 2015: conference proceedings
Author Neumann, P.P.; Bartholmai, M.; Lazik, D.;
Year 2015
Department BOPHY;
Language englisch;
POF III (all) T31; T16;
Abstract A monitoring method is introduced that creates, in near real-time, two-dimensional (2D) 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 (CT) to reconstruct spatial and temporal resolved gas distribution maps. A weighted iterative algebraic reconstruction method based on Maximum Likelihood with Expectation Maximization (MLEM) 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 socalled ghost source locations. A first experimental test indicates the high potential of the proposed method for, e. g., rapid gas leak localization.
ID 17029
Persistent UFZ Identifier http://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=17029
Neumann, P.P., Bartholmai, M., Lazik, D. (2015):
Near real-time reconstruction of 2D soil gas distribution from a regular network of linear gas sensors
IEEE Sensors 2015, Busan, South Korea, November 1 - 4, 2015: conference proceedings
IEEE, Piscataway, NJ, p. 1 - 4