Volcanic ash concentration during the 12 August 2011 Etna eruption

Mount Etna, in Italy, is one of the most active volcanoes in the world and an ideal laboratory to improve volcano ash monitoring and forecasting. During the volcanic episode on 12 August 2011, an eruption column rose up to several kilometers above sea level (asl), and the volcanic plume dispersed to the southeast. From the video-surveillance system, we were able to estimate variations in the column height (peak value of 9.5 ± 0.5 km above sea level) with time. We derived the time-varying discharge rate (peak value of 60 m3 s−1) and determined the ash concentration using a volcanic ash dispersal model. The modeled ash concentration was compared with lidar measurements using different particle effective radius, and differences are within the error bars. Volcanic ash concentrations range from 0.5 to 35.5 × 10−3 g m−3. The comparison highlights that to improve volcanic ash forecasting during volcanic crises it is necessary to take into account the time-varying discharge rate of explosive eruptions.

[1]  Arnau Folch,et al.  Future developments in modelling and monitoring of volcanic ash clouds: outcomes from the first IAVCEI-WMO workshop on Ash Dispersal Forecast and Civil Aviation , 2011, Bulletin of Volcanology.

[2]  J. A. Stevenson,et al.  Big grains go far: reconciling tephrochronology with atmospheric measurements of volcanic ash , 2015 .

[3]  Peter W. Webley,et al.  Automated forecasting of volcanic ash dispersion utilizing Virtual Globes , 2009 .

[4]  F. Bonnardot,et al.  Comparison of VAAC atmospheric dispersion models using the 1 November 2004 Grimsvötn eruption , 2007 .

[5]  H. Tanaka,et al.  Numerical simulation of volcanic plume dispersal from Usu volcano in Japan on 31 March 2000 using PUFF model , 2002 .

[6]  D. Andronico,et al.  Alert system to mitigate tephra fallout hazards at Mt. Etna Volcano, Italy , 2007 .

[7]  J. Klett Lidar inversion with variable backscatter/extinction ratios. , 1985, Applied optics.

[8]  Luca Merucci,et al.  Eruption column height estimation of the 2011-2013 Etna lava fountains , 2014 .

[9]  Barbara J. B. Stunder,et al.  Preliminary sensitivity study of eruption source parameters for operational volcanic ash cloud transport and dispersion models — A case study of the August 1992 eruption of the Crater Peak vent, Mount Spurr, Alaska , 2009 .

[10]  K. Dean,et al.  PUFF: A high-resolution volcanic ash tracking model , 1998 .

[11]  Nicola Spinelli,et al.  Monitoring Etna volcanic plumes using a scanning LiDAR , 2012, Bulletin of Volcanology.

[12]  Simona Scollo,et al.  The 2002–03 Etna explosive activity: Tephra dispersal and features of the deposits , 2008 .

[13]  Puneet Singla,et al.  Computation of probabilistic hazard maps and source parameter estimation for volcanic ash transport and dispersion , 2014, J. Comput. Phys..

[14]  Simona Scollo,et al.  Tephra fallout of 2001 Etna flank eruption: Analysis of the deposit and plume dispersion , 2007 .

[15]  Larry G. Mastin,et al.  A multidisciplinary effort to assign realistic source parameters to models of volcanic ash-cloud transport and dispersion during eruptions , 2009 .

[16]  Costanza Bonadonna,et al.  Impact of wind on the condition for column collapse of volcanic plumes , 2013 .

[17]  Simona Scollo,et al.  Representivity of incompletely sampled fall deposits in estimating eruption source parameters: a test using the 12–13 January 2011 lava fountain deposit from Mt. Etna volcano, Italy , 2014, Bulletin of Volcanology.

[18]  Stefano Tarantola,et al.  Sensitivity analysis and uncertainty estimation for tephra dispersal models , 2008 .

[19]  Ricardo Barrios,et al.  Seasonal variability of aerosol optical properties observed by means of a Raman lidar at an EARLINET site over Northeastern Spain , 2011 .

[20]  Nicola Spinelli,et al.  Lidar depolarization measurement of fresh volcanic ash from Mt. Etna, Italy , 2012 .

[21]  Kerstin Stebel,et al.  Determination of time- and height-resolved volcanic ash emissions and their use for quantitative ash dispersion modeling: the 2010 Eyjafjallajökull eruption , 2011 .

[22]  Albert Ansmann,et al.  Vertically resolved separation of dust and smoke over Cape Verde using multiwavelength Raman and polarization lidars during Saharan Mineral Dust Experiment 2008 , 2009 .

[23]  M. Coltelli,et al.  Monitoring and forecasting Etna volcanic plumes , 2009 .

[24]  Michele Prestifilippo,et al.  A statistical approach to evaluate the tephra deposit and ash concentration from PUFF model forecasts , 2011 .

[25]  Larry G. Mastin,et al.  A user‐friendly one‐dimensional model for wet volcanic plumes , 2007 .

[26]  Boris Behncke,et al.  The 2011-2012 summit activity of Mount Etna: Birth, growth and products of the new SE crater☆ , 2014 .

[27]  Arnau Folch,et al.  A review of tephra transport and dispersal models: Evolution, current status, and future perspectives , 2012 .

[28]  Luca Merucci,et al.  Evolution of the 2011 Mt. Etna ash and SO2 lava fountain episodes using SEVIRI data and VPR retrieval approach , 2015 .

[29]  M. Herzog,et al.  Tall clouds from small eruptions: the sensitivity of eruption height and fine ash content to tropospheric instability , 2009 .

[30]  F. G. Fernald Analysis of atmospheric lidar observations: some comments. , 1984, Applied optics.