Details zur Publikation |
Kategorie | Textpublikation |
Referenztyp | Buchkapitel |
DOI | 10.1109/ICSENS.2015.7370575 |
Titel (primär) | Near real-time reconstruction of 2D soil gas distribution from a regular network of linear gas sensors |
Titel (sekundär) | 2015 IEEE Sensors, Busan, South Korea, 1-4 November 2015 |
Autor | Neumann, P.P.; Bartholmai, M.; Lazik, D. |
Erscheinungsjahr | 2015 |
Department | BOPHY |
Seite von | 1 |
Seite bis | 4 |
Sprache | 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. |
dauerhafte UFZ-Verlinkung | 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 |