Overview
- Strong inter-disciplinary approach merging Mathematics, Geology and Physics
- Comprehensive study of volcanic hazard in a caldera system, including vent location, size of the eruption and time forecasts for the event
- Uncertainty quantification with a detailed assessment of epistemic uncertainty
Part of the book series: Publications of the Scuola Normale Superiore (PSNS, volume 21)
Part of the book sub series: Theses (Scuola Normale Superiore) (TSNS)
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Table of contents (6 chapters)
Keywords
About this book
This study provides innovative mathematical models for assessing the eruption probability and associated volcanic hazards, and applies them to the Campi Flegrei caldera in Italy. Throughout the book, significant attention is devoted to quantifying the sources of uncertainty affecting the forecast estimates.
The Campi Flegrei caldera is certainly one of the world’s highest-risk volcanoes, with more than 70 eruptions over the last 15,000 years, prevalently explosive ones of varying magnitude, intensity and vent location. In the second half of the twentieth century the volcano apparently once again entered a phase of unrest that continues to the present. Hundreds of thousands of people live inside the caldera and over a million more in the nearby city of Naples, making a future eruption of Campi Flegrei an event with potentially catastrophic consequences at the national and European levels.
Authors and Affiliations
Bibliographic Information
Book Title: Doubly Stochastic Models for Volcanic Hazard Assessment at Campi Flegrei Caldera
Authors: Andrea Bevilacqua
Series Title: Publications of the Scuola Normale Superiore
DOI: https://doi.org/10.1007/978-88-7642-577-6
Publisher: Edizioni della Normale Pisa
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Scuola Normale Superiore Pisa 2016
Softcover ISBN: 978-88-7642-556-1Published: 28 June 2016
eBook ISBN: 978-88-7642-577-6Published: 03 May 2016
Series ISSN: 2239-1460
Series E-ISSN: 2532-1668
Edition Number: 1
Topics: Probability Theory and Stochastic Processes, Geophysics and Environmental Physics, Natural Hazards