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Dive into the research topics where Sebastien Biass is active.

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Featured researches published by Sebastien Biass.


Bulletin of Volcanology | 2016

MeMoVolc report on classification and dynamics of volcanic explosive eruptions

Costanza Bonadonna; Raffaello Cioni; Antonio Costa; Timothy H. Druitt; Jeremy C. Phillips; Laura Pioli; Daniele Andronico; Andrew J. L. Harris; Simona Scollo; Olivier Bachmann; Gholamhossein Bagheri; Sebastien Biass; Federico Brogi; K. V. Cashman; L. Dominguez; Tobias Dürig; Olivier Galland; Guido Giordano; Magnús T. Gudmundsson; Matthias Hort; Ármann Höskuldsson; Bruce F. Houghton; Jean-Christophe Komorowski; U. Küppers; Giorgio Lacanna; J.-L Le Pennec; G. Macedonio; Michael Manga; Irene Manzella; M. de' Michieli Vitturi

Classifications of volcanic eruptions were first introduced in the early twentieth century mostly based on qualitative observations of eruptive activity, and over time, they have gradually been developed to incorporate more quantitative descriptions of the eruptive products from both deposits and observations of active volcanoes. Progress in physical volcanology, and increased capability in monitoring, measuring and modelling of explosive eruptions, has highlighted shortcomings in the way we classify eruptions and triggered a debate around the need for eruption classification and the advantages and disadvantages of existing classification schemes. Here, we (i) review and assess existing classification schemes, focussing on subaerial eruptions; (ii) summarize the fundamental processes that drive and parameters that characterize explosive volcanism; (iii) identify and prioritize the main research that will improve the understanding, characterization and classification of volcanic eruptions and (iv) provide a roadmap for producing a rational and comprehensive classification scheme. In particular, classification schemes need to be objective-driven and simple enough to permit scientific exchange and promote transfer of knowledge beyond the scientific community. Schemes should be comprehensive and encompass a variety of products, eruptive styles and processes, including for example, lava flows, pyroclastic density currents, gas emissions and cinder cone or caldera formation. Open questions, processes and parameters that need to be addressed and better characterized in order to develop more comprehensive classification schemes and to advance our understanding of volcanic eruptions include conduit processes and dynamics, abrupt transitions in eruption regime, unsteadiness, eruption energy and energy balance.


Statistics in Volcanology | 2013

TError: towards a better quantification of the uncertainty propagated during the characterization of tephra deposits

Sebastien Biass; Gholamhossein Bagheri; William H Aeberhard; Costanza Bonadonna

We present TError, a Matlab package designed to quantify systematically the uncertainty associated with the characterization of tephra deposits, in which the most commonly used methods to quantify eruption source parameters are implemented. Inputs of the code are a range of field-based, model-based and empirical parameters (i.e., clast diameter, crosswind and downwind ranges, thickness measurement, area of isopach contours, bulk deposit density, empirical constants and wind speed), for which the user defines an uncertainty and an associated distribution. The TError package contains two main functions. The first function deterministically varies one input parameter at a time and quantifies the sensitivity of each Eruption Source Parameter (ESP; i.e., plume height, erupted volume, mass eruption rate) to the variability of input parameters. The second function propagates input parameters as stochastic distributions of noise through all ESPs. The resulting distributions can then be used to express the uncertainty of physical parameters of explosive eruptions in a systematic way. For both functions, comprehensive reports and sets of figures assist the user in the interpretation of the results. As an example, the TError package was applied to Layer 5 of Cotopaxi volcano. Using the median, the 2 percentile and the 98 percentile as central value, lower bound and upper bound respectively, a new quantification of the ESP suggests a plume height of 30± 1 km a.s.l, a mass eruption rate of 1.8+0.3 −0.2 × 108 kg s−1 and a tephra volume between 0.23 +0.13 −0.04 and 0.43 +0.08 −0.06 km3, depending on the empirical model used.


Natural Hazards | 2012

A fast GIS-based risk assessment for tephra fallout: the example of Cotopaxi volcano, Ecuador-Part II: vulnerability and risk assessment

Sebastien Biass; Corine Frischknecht; Costanza Bonadonna

In order to develop efficient strategies for risk mitigation and emergency management, planners require the assessment of both the expected hazard (frequency and magnitude) and the vulnerability of exposed elements. This paper presents a GIS-based methodology to produce qualitative to semi-qualitative thematic risk assessments for tephra fallout around explosive volcanoes, designed to operate with datasets of variable precision and resolution depending on data availability. Due to the constant increase in population density around volcanoes and to the wide dispersal of tephra from volcanic plumes, a large range of threats, such as roof collapses, damage to crops, blockage of vital lifelines and health problems, concern even remote communities. To address these issues, we have assessed the vulnerability and the risk levels for five themes relevant to tephra fallout: (1) social, (2) economic, (3) environmental, (4) physical and (5) territorial. Risk and vulnerability indices for each theme are averaged to the fourth level of administrative unit (parroquia, parish). In a companion paper, Biass and Bonadonna (this volume) present a probabilistic hazard assessment for tephra fallout at Cotopaxi volcano (Ecuador) using the advection-diffusion model TEPHRA2, which is based on field investigations and a global eruption database (Global Volcanism Program, GVP). The scope of this paper is to present a new approach to risk assessment specifically designed for tephra fallout, based on a comprehensive hazard assessment of Cotopaxi volcano. Our results show that an eruption of moderate magnitude (i.e. VEI 4) would result in the possible collapse of ∼9,000 houses in the two parishes located close to the volcano. Our study also reveals a high risk on agriculture, closely linked to the economic sector, and a possible accessibility problem in case of an eruption of any size, as tephra is likely to affect the only major road running from Quito to Latacunga (Panamerican Highway). As a result, this method fits into the ongoing effort to better characterize and evaluate volcanic risk, and more specifically the risk associated with tephra fallout. Although this methodology relies on some assumptions, it can serve as a rapid and efficient starting point for further investigations of the risk level around explosive volcanoes.


Bulletin of Volcanology | 2016

Probabilistic evaluation of the physical impact of future tephra fallout events for the Island of Vulcano, Italy

Sebastien Biass; Costanza Bonadonna; Federico Di Traglia; Marco Pistolesi; Mauro Rosi; Pierino Lestuzzi

A first probabilistic scenario-based hazard assessment for tephra fallout is presented for La Fossa volcano (Vulcano Island, Italy) and subsequently used to assess the impact on the built environment. Eruption scenarios are based upon the stratigraphy produced by the last 1000 years of activity at Vulcano and include long–lasting Vulcanian and sub-Plinian eruptions. A new method is proposed to quantify the evolution through time of the hazard associated with pulsatory Vulcanian eruptions lasting from weeks to years, and the increase in hazard related to typical rainfall events around Sicily is also accounted for. The impact assessment on the roofs is performed by combining a field characterization of the buildings with the composite European vulnerability curves for typical roofing stocks. Results show that a sub-Plinian eruption of VEI 2 is not likely to affect buildings, whereas a sub-Plinian eruption of VEI 3 results in 90 % of the building stock having a ≥12 % probability of collapse. The hazard related to long-lasting Vulcanian eruptions evolves through time, and our analysis shows that the town of Il Piano, located downwind of the preferential wind patterns, is likely to reach critical tephra accumulations for roof collapse 5–9 months after the onset of the eruption. If no cleaning measures are taken, half of the building stock has a probability >20 % of suffering roof collapse.


Geophysical Research Letters | 2014

Acoustic wavefield and Mach wave radiation of flashing arcs in strombolian explosion measured by image luminance

Riccardo Genco; Maurizio Ripepe; Emanuele Marchetti; Costanza Bonadonna; Sebastien Biass

Explosive activity often generates visible flashing arcs in the volcanic plume considered as the evidence of the shock-front propagation induced by supersonic dynamics. High-speed image processing is used to visualize the pressure wavefield associated with flashing arcs observed in strombolian explosions. Image luminance is converted in virtual acoustic signal compatible with the signal recorded by pressure transducer. Luminance variations are moving with a spherical front at a 344.7 m/s velocity. Flashing arcs travel at the sound speed already 14 m above the vent and are not necessarily the evidence of a supersonic explosive dynamics. However, seconds later, the velocity of small fragments increases, and the spherical acousto-luminance wavefront becomes planar recalling the Mach wave radiation generated by large scale turbulence in high-speed jet. This planar wavefront forms a Mach angle of 55° with the explosive jet axis, suggesting an explosive dynamics moving at Mo = 1.22 Mach number.


Archive | 2013

Vulnerability Assessment and Risk Mitigation: The Case of Vulcano Island, Italy

Adriana Galderisi; Costanza Bonadonna; Giuseppe Delmonaco; Floriana Federica Ferrara; Scira Menoni; Andrea Ceudech; Sebastien Biass; Corine Frischknecht; Irene Manzella; Guido Minucci; Chris E. Gregg

This paper reports on a comprehensive vulnerability analysis based on a research work developed within the EC ENSURE Project (7FP) dealing with the assessment of different volcanic phenomena and induced mass-movements on Vulcano Island (S Italy) as a key tool for proactive efforts for multi-risk mitigation. The work is mainly focused on tephra sedimentation and lahar hazards and related physical, systemic and mitigation capacities.


Journal of Applied Volcanology | 2016

TephraProb: a Matlab package for probabilistic hazard assessments of tephra fallout

Sebastien Biass; Costanza Bonadonna; Laura J. Connor; Charles B. Connor

TephraProb is a toolbox of Matlab functions designed to produce scenario–based probabilistic hazard assessments for ground tephra accumulation based on the Tephra2 model. The toolbox includes a series of graphical user interfaces that collect, analyze and pre–process input data, create distributions of eruption source parameters based on a wide range of probabilistic eruption scenarios, run Tephra2 using the generated input scenarios and provide results as exceedence probability maps, probabilistic isomass maps and hazard curves. We illustrate the functionality of TephraProb using the 2011 eruption of Cordón Caulle volcano (Chile) and selected eruptions of La Fossa volcano (Vulcano Island, Italy). The range of eruption styles captured by these two events highlights the potential of TephraProb as an operative tool when rapid hazard assessments are required during volcanic crises.


Bulletin of Volcanology | 2011

A quantitative uncertainty assessment of eruptive parameters derived from tephra deposits: the example of two large eruptions of Cotopaxi volcano, Ecuador

Sebastien Biass; Costanza Bonadonna


Bulletin of Volcanology | 2014

Long-term multi-hazard assessment for El Misti volcano (Peru)

Laura Sandri; Jean-Claude Thouret; Robert Constantinescu; Sebastien Biass; Roberto Tonini


Journal of Volcanology and Geothermal Research | 2015

Physical characterization of explosive volcanic eruptions based on tephra deposits: Propagation of uncertainties and sensitivity analysis

Costanza Bonadonna; Sebastien Biass; Antonio Costa

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A. Todde

University of Florence

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Nobuo Geshi

National Institute of Advanced Industrial Science and Technology

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