Publication Details |
| Category | Text Publication |
| Reference Category | Book chapters |
| DOI | 10.1109/ICSENS.2015.7370575 |
| Title (Primary) | Near real-time reconstruction of 2D soil gas distribution from a regular network of linear gas sensors |
| Title (Secondary) | 2015 IEEE Sensors, Busan, South Korea, 1-4 November 2015 |
| Author | Neumann, P.P.; Bartholmai, M.; Lazik, D. |
| Year | 2015 |
| Department | BOPHY |
| Page From | 1 |
| Page To | 4 |
| Language | englisch |
| 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. |
| Persistent UFZ Identifier | https://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 2015 IEEE Sensors, Busan, South Korea, 1-4 November 2015 Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, p. 1 - 4 10.1109/ICSENS.2015.7370575 |
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