Please use this identifier to cite or link to this item:
Authors: Scollo, S.* 
Boselli, A.* 
Coltelli, M.* 
Leto, G.* 
Pisani, G.* 
Spinelli, N.* 
Wang, X.* 
Title: Monitoring Etna volcanic plumes using a scanning LiDAR
Issue Date: 24-Sep-2012
Series/Report no.: 10/74 (2012)
DOI: 10.1007/s00445-012-0669-y
Keywords: lidar
volcanic ash
Subject Classification01. Atmosphere::01.01. Atmosphere::01.01.08. Instruments and techniques 
Abstract: In this paper, we use data obtained from LiDAR measurements during an ash emission event on 15 November 2010 at Mt. Etna, in Italy, in order to evaluate the spatial distribution of volcanic ash in the atmosphere. A scanning LiDAR system, located at 7 km distance from the summit craters, was directed toward the volcanic vents and moved in azimuth and elevation to analyse different volcanic plume sections. During the measurements, ash emission from the North East Crater and high degassing from the Bocca Nuova Crater were clearly visible. Fromour analysis we were able to: (1) evaluate the region affected by the volcanic plume presence; (2) distinguish volcanic plumes containing spherical aerosols from those having non-spherical ones; and (3) estimate the frequency of volcanic ash emissions. Moreover, the spatial distribution of ash mass concentration was evaluated with an uncertainty of about 50 %.We found that, even during ash emission episodes characterised by low intensity like the 15 November 2010 event, the region in proximity of the summit craters should be avoided by air traffic operations, the ash concentration being greater than 4×10−3g/m3. The use of a scanning permanent LiDAR station may usefully monitor the volcanic activity and help to drastically reduce the risks to aviation operations during the frequent Etna eruptions.
Appears in Collections:Papers Published / Papers in press

Files in This Item:
File Description SizeFormat 
Scollo_et_al_2012b.pdf1.24 MBAdobe PDFView/Open
Show full item record

Page view(s)

Last Week
Last month
checked on Jul 19, 2018


checked on Jul 19, 2018

Google ScholarTM