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  5. Novel retirval of volcanic SO2 abundance form ultraviolet spectra
 
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Novel retirval of volcanic SO2 abundance form ultraviolet spectra

Author(s)
Salerno, G. G.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Burton, M. R.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Pisa, Pisa, Italia  
Oppenheimer, C.  
Caltabiano, T.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Tsanev, V. I.  
University of Cambridge, Department of Chemistry, Department of Geography  
Bruno, N.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Language
English
Obiettivo Specifico
1.2. TTC - Sorveglianza geochimica delle aree vulcaniche attive
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Journal of volcanolgy and geothermal research  
Issue/vol(year)
/181 (2009)
Publisher
Elsevier
Pages (printed)
141-153
Date Issued
2009
DOI
10.1016/j.jvolgeores.2009.01.009
URI
https://www.earth-prints.org/handle/2122/5330
Subjects
04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring  
Subjects

Volcanic Gas Monitori...

Abstract
The recent development of fixed networks of scanning ultraviolet spectrometers for automatic determination of volcanic SO2 fluxes has created tremendous opportunities for monitoring volcanoes but has brought new
challenges in processing (and interpreting) the copious data flow they produce. A particular difficulty in standard implantation of differential optical absorption (DOAS) methods is the requirement for a clear-sky (plume-free) background spectrum. Our experience after four years of measurements with two UV scanner networks on Etna and Stromboli shows that wide plumes are frequently observed, precluding simple
selection of clear-sky spectra. We have therefore developed a retrieval approach based on simulation of the background spectrum. We describe the method here and tune it empirically by collecting clear, zenith sky spectra using calibration cells containing known amounts of SO2. We then test the performance of this optimised retrieval using clear-sky spectra collected with the same calibration cells but for variable scan angles, time of day, and season (through the course of 1 year), finding acceptable results (~12% error) for SO2 column amounts. We further illustrate the analytical approach using spectra recorded at Mt. Etna during its July 2006 eruption. We demonstrate the reliability of the method for tracking volcano dynamics on different time scales, and suggest it is widely suited to automated SO2-plume monitoring
Sponsors
(1)FIRB-MIUR “Simulazione dei flussi lavici con gli automi cellulari” N. RBAU01RMZ4_002 and “Sviluppo di sistemi di monitoraggio' Dipartimento di Protezione Civile della Regione Sicilia, INGV(Istituto Nazionale di Geofisica e Vulcanologia, sezione di Catania – Italy). (2) EU-funded Sixth Framework Programme project 18354
“NOVAC” (Network forObservation of Volcanic and Atmospheric Change). (3) Leverhulme Trust fellowship
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