Source Identification and Field Reconstruction of Advection-Diffusion Process from Sparse Sensor Measurements

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dc.contributor.authorDaw, Arkaen
dc.contributor.authorKarpatne, Anujen
dc.contributor.authorYeo, Kyongminen
dc.contributor.authorKlein, Leventeen
dc.date.accessioned2022-11-15T15:06:51Zen
dc.date.available2022-11-15T15:06:51Zen
dc.date.issued2022-11-11en
dc.description.abstractInferring the source information of greenhouse gases, such as methane, from spatially sparse sensor observations is an essential element in mitigating climate change. While it is well understood that the complex behavior of the atmospheric dispersion of such pollutants is governed by the Advection-Diffusion equation, it is difficult to directly apply the governing equations to identify the source information because of the spatially sparse observations, i.e., the pollution concentration is known only at the sensor locations. Here, we develop a multi-task learning framework that can provide high-fidelity reconstruction of the concentration field and identify emission characteristics of the pollution sources such as their location, emission strength, etc. from sparse sensor observations. We demonstrate that our proposed framework is able to achieve accurate reconstruction of the methane concentrations from sparse sensor measurements as well as precisely pin-point the location and emission strength of these pollution sources.en
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/112635en
dc.language.isoenen
dc.publisherConference on Neural Information Processing Systemsen
dc.relation.ispartofMachine Learning and the Physical Sciences (ML4PS) workshop, NeurIPS 2022en
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectPhysics-informed Machine Learning, Climate and Sustainabilityen
dc.titleSource Identification and Field Reconstruction of Advection-Diffusion Process from Sparse Sensor Measurementsen
dc.title.serialConference on Neural Information Processing Systemsen
dc.typeArticleen
dc.type.dcmitypeTexten

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