Overview on my scientific research in probability and volcanology Andrea Bevilacqua Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Pisa. Postdoctoral Researcher in: “Development and application of physical-mathematical and statistical models in quantifying volcanic hazard” 27 March, INGV, Postdoc and Fellowship Day.
LIFE-STORY Postdoctoral Associate 2018 5 months INGV, Sezione di Pisa; Project FISR 2017 - SOIR Development and application of physical-mathematical and statistical models for the quantification of volcanic hazard. 2016 Postdoctoral Associate (R.V. Fisher Postdoctoral Fellowship) 29 months Center for Geohazard Studies, Department of Earth Sciences, University at Buffalo, NY , USA Hazard SEES project NSF, and CDSE Program, UB. Multidisciplinary Volcano Hazards Research – probabilistic volcanic hazard analyses and uncertainty quantification related to case studies at Kilauea and Long Valley volcanic systems. Research Fellow 2014 18 months INGV, Sezione di Pisa; Progects DPC-V1 e EU-FP7 Supersite MED-SUV Volcanic hazard assessment related to pyroclastic flows and ash dispersion through mathematical models, probabilistic analysis and uncertainty quantification techniques. PhD Scholar in Applied Mathematics 2011 36 months Scuola Normale Superiore di Pisa, and INGV, Sezione di Pisa. DEGREES Phd in Mathematics for Industrial Technologies 2015 Supervisors: Prof. Franco Flandoli, Dr. Augusto Neri Scuola Normale Superiore di Pisa, in collaboration with INGV MS in Mathematics (Laurea Magistrale) 2011 Thesis Advisor: Prof. Franco Flandoli, Università di Pisa BS in Mathematics (Laurea Triennale) 2009 Thesis Advisor: Prof. Franco Flandoli, Università di Pisa High School Degree 2006 Liceo scientifico Ulisse Dini, Pisa Birthplace: Pietrasanta (LU), 3 July 1987.
RESEARCH LINES PVHA: Probabilistic Volcanic Hazard Assessment DPC ‐ V1 (all. C) MED ‐ SUV (EU ‐ FP7) 2012 ‐ 2017 2011 ‐ 2014 Probability Theory PVHA of Somma ‐ Vesuvius PVHA of Campi Flegrei caldera (1 publication) (2 publications) (5 publications) HSEES (NSF #1521855) NSF #1339765, NSF #1621853 2016 ‐ ... PVHA of Long ‐ Valley volcanic region UQ of geophysical flow models (2 publications, 1 preprint in review) (1 publication, 3 preprints in review) FISR2017 2018 ‐ ... NSF #1821311 PVHA of Aso caldera, PVHA using Precursory Data Cotopaxi and Guagua ‐ Pichincha, (2 preprints in review) San Salvador and Nejapa ‐ Chiltepe UQ: Uncertainty quantification
2012 ‐ 2015 PVHA at Campi Flegrei caldera (5 publications) Figure 1. Probability maps of vent opening (PVO), % per km 2 , conditional on a new eruption. (a) and (c) refer to the 5 th and 95 th %iles, Figure (b) to the mean values. Figure 2. PDC invasion hazard maps with the PVO in Fig. 1 and the areal sizes in the last 5 ka. Maps conditional on a new explosive eruption, with a vent located inland. (a) and (c) are the 5th %ile and 95%ile, (b) the mean values.
2014 ‐ 2017 (b) (a) PVHA at Campi Flegrei caldera Figure 1. (5 publications) Cumulative volume erupted in (a) Epoch III and (b) in the last 15ka. Mean value and 5th and 95th %iles. Figure 2. Temporal PDC invasion hazard map assuming to be in a new eruptive epoch. Mean % hazard in the next 50 years with the possibility of a sequence of multiple events.
2014 ‐ 2017 PVHA of Somma ‐ Vesuvius (2 publications) Figure 1. Pdf of expert judgement weights of various information from nine different data sets. Figure 2. PVO maps with possible caldera enlargement effects included. 5th, mean, and 95th %ile values in case of a sub ‐ Plinian or Plinian eruption.
2016 ‐ ... PVHA in Long ‐ Valley volcanic region (2 publications, 1 preprint in review) under review
2017 ‐ ... UQ of geophysical flows models (1 publication, 3 preprints in review) under review under review under review
2018 ‐ ... under review PVHA using Precursory Data (2 preprints in review) under review Figure 1. (a, c) interpolated maps of horizontal (a) and vertical (c) displacement, based on UP7 GPS data. (b, d) are uncertainty ranges. Figure 2. Estimators of failure time tf. Bold line the pdf of tf, with its 5th and 95th %ile values. SDE paths of 1/X are shown. Points are inverse rate data.
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