Please use this identifier to cite or link to this item:
Authors: Pugnaghi, S.* 
Teggi, S.* 
Corradini, S.* 
Buongiorno, M. F.* 
Merucci, L.* 
Bogliolo, M. P.* 
Title: Estimation of SO2 abundance in the eruption plume of Mt. Etna using two MIVIS thermal infrared channels: a case study from the Sicily-1997 Campaign
Issue Date: 2002
Series/Report no.: /64 (2002)
DOI: 10.1007/s00445-002-0211-837
Keywords: MIVIS
Remote sensins
SO2 retrieval
Split Window
Volcanic gas emission
Subject Classification01. Atmosphere::01.01. Atmosphere::01.01.07. Volcanic effects 
Abstract: In this paper, an algorithm is developed based on the split-window technique, to estimate the SO2 abundance in the plume of Mt. Etna volcano using the multispectral infrared and visible imaging spectrometer (MIVIS). The MIVIS data were remotely sensed in the thermal infrared (TIR) during the Sicily-1997 Campaign. In this study, the MODTRAN 3.5 code has been used to simulate the radiance at the sensor; the radiative transfer model was input along with the data of radio-sounding performed simultaneously with the MIVIS flight using a mobile radio-theodolite. From the SO2 map, derived from the MIVIS image, the SO2 flux along the axis of the plume was computed knowing the wind speed at the plume altitude. The SO2 flux is variable along the plume axis. The average SO2 flux (about 45 kg s–1 on 12 June and about 30 kg s–1 on 16 June) emitted from the vents is compared with the correlation spectrometer (COSPEC) measurements carried out by other teams (from the ground and from a light aircraft flying under the plume) during the MIVIS flight. Finally, by means of this algorithm it should be easier, with respect to the previously described procedure to monitor the SO2 flux of a specific volcano such as Mt. Etna.
Appears in Collections:Papers Published / Papers in press

Files in This Item:
File Description SizeFormat 
Pugnaghi_BV_2002.pdf264.21 kBAdobe PDFView/Open
Show full item record

Page view(s)

Last Week
Last month
checked on Aug 15, 2018


checked on Aug 15, 2018

Google ScholarTM