Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/11078
DC Field | Value | Language |
---|---|---|
dc.date.accessioned | 2018-03-07T12:22:07Z | en |
dc.date.available | 2018-03-07T12:22:07Z | en |
dc.date.issued | 2018 | en |
dc.identifier.uri | http://hdl.handle.net/2122/11078 | en |
dc.description.abstract | CO2 is the second most abundant volatile species of degassing magma. CO2 fluxes carry information of incredible value, such as periods of volcanic unrest. Ground-based laser remote sensing is a powerful technique to measure CO2 fluxes in a spatially integrated manner, quickly and from a safe distance, but it needs accurate knowledge of the plume speed. The latter is often difficult to estimate, particularly for complex topographies. So, a supplementary or even alternative way of retrieving fluxes would be beneficial. Here, we assess Bayesian inversion as a potential technique for the case of the volcanic crater of Solfatara (Italy), a complex terrain hosting two major CO2 degassing fumarolic vents close to a steep slope. Direct integration of remotely sensed CO2 concentrations of these vents using plume speed derived from optical flow analysis yielded a flux of 717 121 t day1, in agreement with independent measurements. The flux from Bayesian inversion based on a simple Gaussian plume model was in excellent agreement under certain conditions. In conclusion, Bayesian inversion is a promising retrieval tool for CO2 fluxes, especially in situations where plume speed estimation methods fail, e.g., optical flow for transparent plumes. The results have implications beyond volcanology, including ground-based remote sensing of greenhouse gases and verification of satellite soundings. | en |
dc.language.iso | English | en |
dc.relation.ispartof | Remote Sensing | en |
dc.relation.ispartofseries | /10 (2018) | en |
dc.title | Ground-Based Remote Sensing of Volcanic CO2 Fluxes at Solfatara (Italy)—Direct Versus Inverse Bayesian Retrieval | en |
dc.type | article | en |
dc.description.status | Published | en |
dc.type.QualityControl | Peer-reviewed | en |
dc.description.pagenumber | 125 | en |
dc.identifier.doi | 10.3390/rs10010125 | en |
dc.description.obiettivoSpecifico | 4V. Processi pre-eruttivi | en |
dc.description.journalType | JCR Journal | en |
dc.contributor.author | Queißer, Manuel | en |
dc.contributor.author | Burton, Mike | en |
dc.contributor.author | Granieri, Domenico | en |
dc.contributor.author | Varnam, Matthew | en |
dc.contributor.department | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Pisa, Pisa, Italia | en |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Pisa, Pisa, Italia | - |
crisitem.author.orcid | 0000-0002-2988-428X | - |
crisitem.author.orcid | 0000-0003-2831-723X | - |
crisitem.author.orcid | 0000-0002-3794-5302 | - |
crisitem.author.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.department.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
Appears in Collections: | Article published / in press |
Files in This Item:
File | Description | Size | Format | |
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2018_remotesensing_solfatara.pdf | 8.92 MB | Adobe PDF | View/Open |
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