Near real-time reconstruction of 2D soil gas distribution from a regular network of linear gas sensors
- 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 so-called ghost source locations. A first experimental test indicates the high potential of the proposed method for, e.g., rapid gas leak localization.
MetadatenAutor*innen: | Patrick P. NeumannORCiD, Matthias BartholmaiORCiD, D. Lazik |
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Dokumenttyp: | Beitrag zu einem Tagungsband |
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Veröffentlichungsform: | Verlagsliteratur |
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Sprache: | Englisch |
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Titel des übergeordneten Werkes (Englisch): | Proceedings of the IEEE Sensors 2015 |
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Jahr der Erstveröffentlichung: | 2015 |
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Verlag: | IEEE |
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Erste Seite: | 1550 |
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Letzte Seite: | 1553 |
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Freie Schlagwörter: | Computed tomography; Distributed linear sensor; Gas storage areas; Membrane-based gas sensing; Subsurface monitoring |
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Veranstaltung: | IEEE Sensors 2015 |
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Veranstaltungsort: | Busan, South Korea |
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Beginndatum der Veranstaltung: | 01.11.2015 |
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Enddatum der Veranstaltung: | 04.11.2015 |
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ISSN: | 1930-0395 |
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ISBN: | 978-1-4799-8202-8 |
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Verfügbarkeit des Dokuments: | Datei im Netzwerk der BAM verfügbar ("Closed Access") |
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Datum der Freischaltung: | 20.02.2016 |
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Referierte Publikation: | Ja |
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Datum der Eintragung als referierte Publikation: | 18.11.2015 |
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