Articles | Volume 21, issue 11
https://doi.org/10.5194/nhess-21-3509-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-3509-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Nov 2021
Research article |
| 18 Nov 2021
| 18 Nov 2021
A unified probabilistic framework for volcanic hazard and eruption forecasting
Warner Marzocchi
CORRESPONDING AUTHOR
Department of Earth, Environmental, and Resources Sciences, University of Naples, Federico II, Complesso di Monte Sant'Angelo, Via Cupa Nuova Cintia, 21 – 80126 Naples, Italy
Jacopo Selva
Istituto Nazionale di Geofisica e Vulcanologia, Via Donato Creti 12, 40128 Bologna, Italy
Thomas H. Jordan
Department of Earth Sciences Southern California Earthquake Center, University of Southern California, Los Angeles, California 90089, USA
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We propose a scoring strategy to rank multiple models/branches of a probabilistic seismic hazard analysis (PSHA) model that could be useful to consider specific requests from stakeholders responsible for seismic risk reduction actions. In fact, applications of PSHA often require sampling a few hazard curves from the model. The procedure is introduced through an application aimed to score and rank the branches of a recent Italian PSHA model according to their fit with macroseismic intensity data.
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Estimates of the earthquake ground motions expected during the lifetime of a building or the length of an insurance policy are frequently calculated for locations around the world. Estimates for the same location from different studies can show large differences. These differences affect engineering, financial and risk management decisions. We apply various approaches to understand when such differences have an impact on such decisions and when they are expected because data are limited.
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Despite being among the most severe climate extremes, it is still challenging to assess droughts’ features for specific regions. In this paper we study meteorological droughts in Europe using concepts derived from climate network theory. By exploring the synchronization in droughts occurrences across the continent we unveil regional clusters which are individually examined to identify droughts’ geographical propagation and source–sink systems, which could potentially support droughts’ forecast.
Jacopo Selva and Nello Mangone
EGUsphere, https://doi.org/10.5194/egusphere-2025-3615, https://doi.org/10.5194/egusphere-2025-3615, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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Forecasting the potential position of future eruptions is fundamental for managing volcanic hazards. Here, we develop a new approach to identify the most likely positions for future eruptions based on the propagation of the magma that fed past eruptions. Its application to Campi Flegrei shows probability peaks at 2 and 4 km from the caldera center and in the direction of the topographic peaks within 6 km, with peaks that correlate well with recent seismicity and deformation patterns.
Vera D'Amico, Francesco Visini, Andrea Rovida, Warner Marzocchi, and Carlo Meletti
Nat. Hazards Earth Syst. Sci., 24, 1401–1413, https://doi.org/10.5194/nhess-24-1401-2024, https://doi.org/10.5194/nhess-24-1401-2024, 2024
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We propose a scoring strategy to rank multiple models/branches of a probabilistic seismic hazard analysis (PSHA) model that could be useful to consider specific requests from stakeholders responsible for seismic risk reduction actions. In fact, applications of PSHA often require sampling a few hazard curves from the model. The procedure is introduced through an application aimed to score and rank the branches of a recent Italian PSHA model according to their fit with macroseismic intensity data.
Silvia Massaro, Manuel Stocchi, Beatriz Martínez Montesinos, Laura Sandri, Jacopo Selva, Roberto Sulpizio, Biagio Giaccio, Massimiliano Moscatelli, Edoardo Peronace, Marco Nocentini, Roberto Isaia, Manuel Titos Luzón, Pierfrancesco Dellino, Giuseppe Naso, and Antonio Costa
Nat. Hazards Earth Syst. Sci., 23, 2289–2311, https://doi.org/10.5194/nhess-23-2289-2023, https://doi.org/10.5194/nhess-23-2289-2023, 2023
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A new methodology to calculate a probabilistic long-term tephra fallout hazard assessment in southern Italy from the Neapolitan volcanoes is provided. By means of thousands of numerical simulations we quantify the mean annual frequency with which the tephra load at the ground exceeds critical thresholds in 50 years. The output hazard maps account for changes in eruptive regimes of each volcano and are also comparable with those of other natural disasters in which more sources are integrated.
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Estimates of the earthquake ground motions expected during the lifetime of a building or the length of an insurance policy are frequently calculated for locations around the world. Estimates for the same location from different studies can show large differences. These differences affect engineering, financial and risk management decisions. We apply various approaches to understand when such differences have an impact on such decisions and when they are expected because data are limited.
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Nonlin. Processes Geophys., 30, 167–181, https://doi.org/10.5194/npg-30-167-2023, https://doi.org/10.5194/npg-30-167-2023, 2023
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Despite being among the most severe climate extremes, it is still challenging to assess droughts’ features for specific regions. In this paper we study meteorological droughts in Europe using concepts derived from climate network theory. By exploring the synchronization in droughts occurrences across the continent we unveil regional clusters which are individually examined to identify droughts’ geographical propagation and source–sink systems, which could potentially support droughts’ forecast.
Manuela Volpe, Stefano Lorito, Jacopo Selva, Roberto Tonini, Fabrizio Romano, and Beatriz Brizuela
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R. Tonini, L. Sandri, A. Costa, and J. Selva
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We compare recent unrest episodes at Campi Flegrei caldera (Naples, Italy), with phenomena occurred during the historical eruption in 1538. Besides proposing a new, accurate reconstruction of the ground movements in the area since VIII century BC, we deduce a striking similarity of the present unrest with the precursors to the 1538 eruption. We then infer that, if the ground uplift continues, earthquakes up to magnitude 5 are expected, as well as a considerable eruption risk in the next decades.
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Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-102, https://doi.org/10.5194/nhess-2024-102, 2024
Revised manuscript accepted for NHESS
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Developing seismo-volcanic monitoring tools is crucial for Volcanic Observatories. Our study reviews current methods using Transfer Learning techniques and finds that while these systems identify nearly 90 % of seismic events, they miss other important volcanic data due to the catalogue-learning bias. We propose a weakly supervised technique to reduce bias and uncover new volcanic information. This method can improve existing databases and create new ones efficiently using machine learning.
Andrea Verolino, Su Fen Wee, Susanna F. Jenkins, Fidel Costa, and Adam D. Switzer
Nat. Hazards Earth Syst. Sci., 24, 1203–1222, https://doi.org/10.5194/nhess-24-1203-2024, https://doi.org/10.5194/nhess-24-1203-2024, 2024
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Submarine volcanic eruptions represent the majority of eruptions taking place on Earth. Still, they are vastly understudied worldwide. Here we compile a new dataset and assess the morphology, depth, and height of submarine volcanoes in Southeast Asia and its surroundings to understand their hazard-exposure potential in the region. This study will serve as a stepping stone for future quantitative hazard assessments from submarine eruptions in Southeast Asia and neighbouring countries.
Carlos Molina, Badr-Eddine Boudriki Semlali, Guillermo González-Casado, Hyuk Park, and Adriano Camps
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Global navigation satellite system signals are used to measure the perturbations induced in the ionosphere by earthquakes related to volcanic eruptions. The study uses data from ground stations and satellites measuring the signals reflected on the ocean or during radio occultation. The results shows a small correlation, but given the small magnitude of the earthquakes, it is difficult to apply this concept to any practical application that finds earthquake proxies in ionospheric perturbations.
Gro B. M. Pedersen, Melissa A. Pfeffer, Sara Barsotti, Simone Tarquini, Mattia de'Michieli Vitturi, Bergrún A. Óladóttir, and Ragnar Heiðar Þrastarson
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The lava eruption at Fagradalsfjall in 2021 was the most visited eruption in Iceland, with thousands of visitors per day for 6 months. To address the short- and long-term danger of lava inundating infrastructure and hiking paths, we used the lava flow model MrLavaLoba before and during the eruption. These simulations helped communicate lava hazards to stakeholders and can be used as a case study for lava hazard assessment for future eruptions in the area, which are likely to be more destructive.
Silvia Massaro, Manuel Stocchi, Beatriz Martínez Montesinos, Laura Sandri, Jacopo Selva, Roberto Sulpizio, Biagio Giaccio, Massimiliano Moscatelli, Edoardo Peronace, Marco Nocentini, Roberto Isaia, Manuel Titos Luzón, Pierfrancesco Dellino, Giuseppe Naso, and Antonio Costa
Nat. Hazards Earth Syst. Sci., 23, 2289–2311, https://doi.org/10.5194/nhess-23-2289-2023, https://doi.org/10.5194/nhess-23-2289-2023, 2023
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A new methodology to calculate a probabilistic long-term tephra fallout hazard assessment in southern Italy from the Neapolitan volcanoes is provided. By means of thousands of numerical simulations we quantify the mean annual frequency with which the tephra load at the ground exceeds critical thresholds in 50 years. The output hazard maps account for changes in eruptive regimes of each volcano and are also comparable with those of other natural disasters in which more sources are integrated.
Luigi Carleo, Gilda Currenti, and Alessandro Bonaccorso
Nat. Hazards Earth Syst. Sci., 23, 1743–1754, https://doi.org/10.5194/nhess-23-1743-2023, https://doi.org/10.5194/nhess-23-1743-2023, 2023
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Lava fountains at the Etna volcano are explosive eruptions that pose a serious threat to civil infrastructure and aviation. Their evolution from weak explosion to sustained eruptive column is imprinted in tiny ground deformations caught by strain signals with diverse duration and amplitude. By performing a clustering analysis on strain variations, we discover a transition among four eruptive styles, providing useful hints for volcano monitoring and hazard assessment.
Noa Ligot, Patrick Bogaert, Sébastien Biass, Guillaume Lobet, and Pierre Delmelle
Nat. Hazards Earth Syst. Sci., 23, 1355–1369, https://doi.org/10.5194/nhess-23-1355-2023, https://doi.org/10.5194/nhess-23-1355-2023, 2023
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Assessing risk to crops from volcanic ashfall is critical to protect people who rely on agriculture for their livelihood and food security. Ash retention on crop leaves is a key process in damage initiation. Experiments with tomato and chilli pepper plants revealed that ash retention increases with decreasing ash grain size and is enhanced when leaves are pubescent or their surfaces are wet. We propose a new relationship to quantify potential crop yield loss as a function of ash retention.
Braden Walsh, Charline Lormand, Jon Procter, and Glyn Williams-Jones
Nat. Hazards Earth Syst. Sci., 23, 1029–1044, https://doi.org/10.5194/nhess-23-1029-2023, https://doi.org/10.5194/nhess-23-1029-2023, 2023
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Here, we delve into the properties of a lake-breakout mass flow that grew up to a volume of ~ 4.4 × 106 m3 over the course of 83 km that occurred on 18 March 2007 at Mt. Ruapehu, Aotearoa / New Zealand. The combination of seismic analysis (frequency and directionality) with on-the-ground measurements (e.g., video, sediment concentration) shows how a lahar evolves over time and distance and how using seismic techniques can help monitor the ever-changing dynamics and properties of a flow event.
Pablo Salazar, Franz Yupanqui, Claudio Meneses, Susana Layana, and Gonzalo Yáñez
Nat. Hazards Earth Syst. Sci., 23, 991–1006, https://doi.org/10.5194/nhess-23-991-2023, https://doi.org/10.5194/nhess-23-991-2023, 2023
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The acquisition of more generalizable models, using machine learning techniques, creates a good opportunity to develop a multi-volcano probabilistic model for volcanoes worldwide. This will improve the understanding and evaluation of the hazards and risks associated with the activity of volcanoes.
Matthew W. Hayward, Emily M. Lane, Colin N. Whittaker, Graham S. Leonard, and William L. Power
Nat. Hazards Earth Syst. Sci., 23, 955–971, https://doi.org/10.5194/nhess-23-955-2023, https://doi.org/10.5194/nhess-23-955-2023, 2023
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In this paper, 20 explosive volcanic eruption scenarios of differing location and magnitude are simulated to investigate tsunami generation in Lake Taupō, New Zealand. A non-hydrostatic multilayer numerical scheme resolves the highly dispersive generated wavefield. Inundation, hydrographic and related hazard outputs are produced, indicating that significant inundation around the lake shore begins above 5 on the volcanic explosivity index.
Gui Hu, Linlin Li, Zhiyuan Ren, and Kan Zhang
Nat. Hazards Earth Syst. Sci., 23, 675–691, https://doi.org/10.5194/nhess-23-675-2023, https://doi.org/10.5194/nhess-23-675-2023, 2023
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We explore the tsunamigenic mechanisms and the hydrodynamic characteristics of the 2022 Hunga Tonga–Hunga Ha'apai volcanic tsunami event. Through extensive analysis of tsunami waveforms, we identify four distinct tsunami components from different physical mechanisms. The long-lasting oscillation of the tsunami event in the Pacific Ocean was mainly associated with the interplay of the ocean waves left by atmospheric waves with local bathymetry.
Andrea Bevilacqua, Alvaro Aravena, Willy Aspinall, Antonio Costa, Sue Mahony, Augusto Neri, Stephen Sparks, and Brittain Hill
Nat. Hazards Earth Syst. Sci., 22, 3329–3348, https://doi.org/10.5194/nhess-22-3329-2022, https://doi.org/10.5194/nhess-22-3329-2022, 2022
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We evaluate through first-order kinetic energy models, the minimum volume and mass of a pyroclastic density current generated at the Aso caldera that might affect any of five distal infrastructure sites. These target sites are all located 115–145 km from the caldera, but in well-separated directions. Our constraints of volume and mass are then compared with the scale of Aso-4, the largest caldera-forming eruption of Aso.
Sébastien Biass, Susanna F. Jenkins, William H. Aeberhard, Pierre Delmelle, and Thomas Wilson
Nat. Hazards Earth Syst. Sci., 22, 2829–2855, https://doi.org/10.5194/nhess-22-2829-2022, https://doi.org/10.5194/nhess-22-2829-2022, 2022
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We present a methodology that combines big Earth observation data and interpretable machine learning to revisit the impact of past volcanic eruptions recorded in archives of multispectral satellite imagery. Using Google Earth Engine and dedicated numerical modelling, we revisit and constrain processes controlling vegetation vulnerability to tephra fallout following the 2011 eruption of Cordón Caulle volcano, illustrating how this approach can inform the development of risk-reduction policies.
Maud Devès, Robin Lacassin, Hugues Pécout, and Geoffrey Robert
Nat. Hazards Earth Syst. Sci., 22, 2001–2029, https://doi.org/10.5194/nhess-22-2001-2022, https://doi.org/10.5194/nhess-22-2001-2022, 2022
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This paper focuses on the issue of population information about natural hazards and disaster risk. It builds on the analysis of the unique seismo-volcanic crisis on the island of Mayotte, France, that started in May 2018 and lasted several years. We document the gradual response of the actors in charge of scientific monitoring and risk management. We then make recommendations for improving risk communication strategies in Mayotte and also in contexts where comparable geo-crises may happen.
Susanna F. Jenkins, Sébastien Biass, George T. Williams, Josh L. Hayes, Eleanor Tennant, Qingyuan Yang, Vanesa Burgos, Elinor S. Meredith, Geoffrey A. Lerner, Magfira Syarifuddin, and Andrea Verolino
Nat. Hazards Earth Syst. Sci., 22, 1233–1265, https://doi.org/10.5194/nhess-22-1233-2022, https://doi.org/10.5194/nhess-22-1233-2022, 2022
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There is a need for large-scale comparable assessments of volcanic threat, but previous approaches assume circular hazard to exposed population. Our approach quantifies and ranks five exposure types to four volcanic hazards for 40 volcanoes in Southeast Asia. Java has the highest median exposure, with Merapi consistently ranking as the highest-threat volcano. This study and the tools developed provide a road map with the possibility to extend them to other regions and/or towards impact and loss.
Costanza Bonadonna, Ali Asgary, Franco Romerio, Tais Zulemyan, Corine Frischknecht, Chiara Cristiani, Mauro Rosi, Chris E. Gregg, Sebastien Biass, Marco Pistolesi, Scira Menoni, and Antonio Ricciardi
Nat. Hazards Earth Syst. Sci., 22, 1083–1108, https://doi.org/10.5194/nhess-22-1083-2022, https://doi.org/10.5194/nhess-22-1083-2022, 2022
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Evacuation planning and management represent a key aspect of volcanic crises because they can increase people's protection as well as minimize the potential impacts on the economy, properties and infrastructure of the affected area. We present a simulation tool that assesses the effectiveness of different evacuation scenarios as well as a model to assess the economic impact of evacuation as a function of evacuation duration and starting period using the island of Vulcano (Italy) as a case study.
Luca Bugliaro, Dennis Piontek, Stephan Kox, Marius Schmidl, Bernhard Mayer, Richard Müller, Margarita Vázquez-Navarro, Daniel M. Peters, Roy G. Grainger, Josef Gasteiger, and Jayanta Kar
Nat. Hazards Earth Syst. Sci., 22, 1029–1054, https://doi.org/10.5194/nhess-22-1029-2022, https://doi.org/10.5194/nhess-22-1029-2022, 2022
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The monitoring of ash dispersion in the atmosphere is an important task for satellite remote sensing since ash represents a threat to air traffic. We present an AI-based method that retrieves the spatial extension and properties of volcanic ash clouds with high temporal resolution during day and night by means of geostationary satellite measurements. This algorithm, trained on realistic observations simulated with a radiative transfer model, runs operationally at the German Weather Service.
Manuel Titos, Beatriz Martínez Montesinos, Sara Barsotti, Laura Sandri, Arnau Folch, Leonardo Mingari, Giovanni Macedonio, and Antonio Costa
Nat. Hazards Earth Syst. Sci., 22, 139–163, https://doi.org/10.5194/nhess-22-139-2022, https://doi.org/10.5194/nhess-22-139-2022, 2022
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This work addresses a quantitative hazard assessment on the possible impact on air traffic of a future ash-forming eruption on the island of Jan Mayen. Through high-performance computing resources, we numerically simulate the transport of ash clouds and ash concentration at different flight levels over an area covering Iceland and the UK using the FALL3D model. This approach allows us to derive a set of probability maps explaining the extent and persisting concentration conditions of ash clouds.
Stuart R. Mead, Jonathan Procter, and Gabor Kereszturi
Nat. Hazards Earth Syst. Sci., 21, 2447–2460, https://doi.org/10.5194/nhess-21-2447-2021, https://doi.org/10.5194/nhess-21-2447-2021, 2021
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Computer simulations can be used to estimate the flow path and inundation of volcanic mass flows; however, their accuracy needs to be appropriately measured and handled in order to determine hazard zones. This paper presents an approach to simulation accuracy assessment and hazard zonation with a volcanic debris avalanche as the benchmark. This method helped to identify and support key findings about errors in mass flow simulations, as well as potential end-use cases for hazard zonation.
Magdalena Oryaëlle Chevrel, Massimiliano Favalli, Nicolas Villeneuve, Andrew J. L. Harris, Alessandro Fornaciai, Nicole Richter, Allan Derrien, Patrice Boissier, Andrea Di Muro, and Aline Peltier
Nat. Hazards Earth Syst. Sci., 21, 2355–2377, https://doi.org/10.5194/nhess-21-2355-2021, https://doi.org/10.5194/nhess-21-2355-2021, 2021
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At Piton de la Fournaise, eruptions are typically fissure-fed and form extensive lava flow fields. Most historical events have occurred inside an uninhabited caldera, but rarely has lava flowed where population and infrastructure might be at risk. We present an up-to-date lava flow hazard map to visualize the probability of inundation by a lava flow per unit area that is an essential tool for hazard mitigation and guiding crises response management.
Andrea Bevilacqua, Alvaro Aravena, Augusto Neri, Eduardo Gutiérrez, Demetrio Escobar, Melida Schliz, Alessandro Aiuppa, and Raffaello Cioni
Nat. Hazards Earth Syst. Sci., 21, 1639–1665, https://doi.org/10.5194/nhess-21-1639-2021, https://doi.org/10.5194/nhess-21-1639-2021, 2021
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We present novel probability maps for the opening position of new vents in the San Salvador (El Salvador) and Nejapa-Chiltepe (Nicaragua) volcanic complexes. In particular, we present thematic maps, i.e., we consider different hazardous phenomena separately. To illustrate the significant effects of considering the expected eruption style in the construction of vent opening maps, we focus on the analysis of small-scale pyroclastic density currents using an approach based on numerical modeling.
Joana Medeiros, Rita Carmo, Adriano Pimentel, José Cabral Vieira, and Gabriela Queiroz
Nat. Hazards Earth Syst. Sci., 21, 417–437, https://doi.org/10.5194/nhess-21-417-2021, https://doi.org/10.5194/nhess-21-417-2021, 2021
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This study proposes a new approach to accessing the economic impact of explosive eruptions on the tourism sector on São Miguel Island, which uses the loss present value method to estimate the benefits generated by accommodation units over 30 years for different scenarios. The results reveal that in a near-total-destruction scenario, the economic loss is ~ EUR 145 million. This method can be adapted to other volcanic regions and also to other geological hazards and economic sectors.
Carola Leva, Georg Rümpker, and Ingo Wölbern
Nat. Hazards Earth Syst. Sci., 20, 3627–3638, https://doi.org/10.5194/nhess-20-3627-2020, https://doi.org/10.5194/nhess-20-3627-2020, 2020
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Often, an abrupt increase in shallow seismicity at volcanoes is seen as an indicator for magmatic intrusions into the upper crust. If no eruption occurs and the seismic activity stops, this is called a failed eruption. Here, we report a failed eruption of Brava, Cabo Verde, in August 2016. We remotely monitored the seismicity of Brava with a seismic array, operating from October 2015 to December 2016. Other episodes with increased seismicity around the island were also observed during the study.
Philipson Bani, Kristianto, Syegi Kunrat, and Devy Kamil Syahbana
Nat. Hazards Earth Syst. Sci., 20, 2119–2132, https://doi.org/10.5194/nhess-20-2119-2020, https://doi.org/10.5194/nhess-20-2119-2020, 2020
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Awu is a little-known volcano in Indonesia, and paradoxically it is one of the deadliest volcanoes on Earth. Some of its recurrent intense eruptions have induced world-scale impacts. The pulverization of a cooled lava dome and its conduit plug have allowed lake water injection into the conduit, leading to explosive water–magma interaction. The past vigorous eruptions were likely induced by these phenomena and it is a possible scenario for future events.
Giuseppe De Natale, Claudia Troise, and Renato Somma
Nat. Hazards Earth Syst. Sci., 20, 2037–2053, https://doi.org/10.5194/nhess-20-2037-2020, https://doi.org/10.5194/nhess-20-2037-2020, 2020
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This paper starts by showing the present low performance of eruption forecasting and then addresses the problem of effectively mitigating the highest volcanic risk in the world, represented by the Naples area (southern Italy). The problem is considered in a highly multidisciplinary way, taking into account the main economic, sociological and urban planning issues. Our study gives precise guidelines to assessing and managing volcanic risk in any densely urbanised area.
Marcus Hirtl, Delia Arnold, Rocio Baro, Hugues Brenot, Mauro Coltelli, Kurt Eschbacher, Helmut Hard-Stremayer, Florian Lipok, Christian Maurer, Dieter Meinhard, Lucia Mona, Marie D. Mulder, Nikolaos Papagiannopoulos, Michael Pernsteiner, Matthieu Plu, Lennart Robertson, Carl-Herbert Rokitansky, Barbara Scherllin-Pirscher, Klaus Sievers, Mikhail Sofiev, Wim Som de Cerff, Martin Steinheimer, Martin Stuefer, Nicolas Theys, Andreas Uppstu, Saskia Wagenaar, Roland Winkler, Gerhard Wotawa, Fritz Zobl, and Raimund Zopp
Nat. Hazards Earth Syst. Sci., 20, 1719–1739, https://doi.org/10.5194/nhess-20-1719-2020, https://doi.org/10.5194/nhess-20-1719-2020, 2020
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The paper summarizes the set-up and outcome of a volcanic-hazard demonstration exercise, with the goals of assessing and mitigating the impacts of volcanic ash clouds on civil and military aviation. Experts in the field simulated the sequence of procedures for an artificial eruption of the Etna volcano in Italy. The scope of the exercise ranged from the detection of the assumed event to the issuance of early warnings and optimized rerouting of flights.
Adrianus de Laat, Margarita Vazquez-Navarro, Nicolas Theys, and Piet Stammes
Nat. Hazards Earth Syst. Sci., 20, 1203–1217, https://doi.org/10.5194/nhess-20-1203-2020, https://doi.org/10.5194/nhess-20-1203-2020, 2020
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TROPOMI satellite measurements can accurately determine the height of thick volcanic ash clouds from a short-lived volcanic eruption of the Sinabung volcano in Indonesia. Standard geostationary satellite detection of volcanic ash was limited due to the presence of water and ice in the upper parts of volcanic ash clouds, a known issue. The TROPOMI satellite measurements do not suffer from this limitation, hence providing information where standard geostationary volcanic ash detection is limited.
Ayleen Gaete, Thomas R. Walter, Stefan Bredemeyer, Martin Zimmer, Christian Kujawa, Luis Franco Marin, Juan San Martin, and Claudia Bucarey Parra
Nat. Hazards Earth Syst. Sci., 20, 377–397, https://doi.org/10.5194/nhess-20-377-2020, https://doi.org/10.5194/nhess-20-377-2020, 2020
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Phreatic eruptions often occur without signs of enhanced volcanic unrest, avoiding detection and posing a threat to people in the vicinity. We analyzed data of the 2015 phreatic eruption of Lascar volcano, Chile, to retrospectively identify a precipitation event as the trigger mechanism and potential signs heralding this minor eruption. We showed that it is possible to detect the precursory activity of phreatic eruptions by deploying appropriate multiparametric monitoring.
Valérie Baumann, Costanza Bonadonna, Sabatino Cuomo, Mariagiovanna Moscariello, Sebastien Biass, Marco Pistolesi, and Alessandro Gattuso
Nat. Hazards Earth Syst. Sci., 19, 2421–2449, https://doi.org/10.5194/nhess-19-2421-2019, https://doi.org/10.5194/nhess-19-2421-2019, 2019
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Lahars are fast-moving mixtures of volcanic debris and water propagating downslope on volcanoes that can be very dangerous for people and property. Identification of lahar source areas and initiation mechanisms is crucial to comprehensive lahar hazard assessment. We present the first rain-triggered lahar susceptibility map for La Fossa volcano (Vulcano, Italy) combining probabilistic tephra modelling, slope-stability modelling, precipitation data, field characterizations, and geotechnical tests.
David M. Hyman, Andrea Bevilacqua, and Marcus I. Bursik
Nat. Hazards Earth Syst. Sci., 19, 1347–1363, https://doi.org/10.5194/nhess-19-1347-2019, https://doi.org/10.5194/nhess-19-1347-2019, 2019
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In this work, we present new methods for calculating the mean, standard deviation, median, and modal locations of the boundaries of volcanic hazards. These calculations are based on a new, mathematically rigorous definition of probabilistic hazard maps – a way to map the probabilities of inundation by a given hazard. We apply this analysis to several models of volcanic flows: simple models of viscous flows, complex models of a tabletop granular flow, and a complex model of a volcanic mud flow.
Sophie Mossoux, Matthieu Kervyn, and Frank Canters
Nat. Hazards Earth Syst. Sci., 19, 1251–1263, https://doi.org/10.5194/nhess-19-1251-2019, https://doi.org/10.5194/nhess-19-1251-2019, 2019
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Hazard maps provide information about the probability of given areas of being affected by hazards. So far studies combining hazard mapping with accessibility to services are few. In this study, we propose two new metrics defining the importance of each road segment in the accessibility of services, taking into account the probability of being affected by a hazard. These metrics may help support discussions about the development of new infrastructure or road segments and evacuation procedures.
Sara Osman, Eduardo Rossi, Costanza Bonadonna, Corine Frischknecht, Daniele Andronico, Raffaello Cioni, and Simona Scollo
Nat. Hazards Earth Syst. Sci., 19, 589–610, https://doi.org/10.5194/nhess-19-589-2019, https://doi.org/10.5194/nhess-19-589-2019, 2019
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The fallout of large clasts (> 5 cm) from the margins of eruptive plumes can damage local infrastructure and severely injure people close to the volcano. Even though this potential hazard has been observed at many volcanoes, it has often been overlooked. We present the first hazard and risk assessment of large-clast fallout from eruptive plumes and use Mt Etna (Italy) as a case study. The use of dedicated shelters in the case of an explosive event that occurs with no warning is also evaluated.
Herlan Darmawan, Thomas R. Walter, Valentin R. Troll, and Agus Budi-Santoso
Nat. Hazards Earth Syst. Sci., 18, 3267–3281, https://doi.org/10.5194/nhess-18-3267-2018, https://doi.org/10.5194/nhess-18-3267-2018, 2018
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At Merapi volcano, lava dome failure may generate pyroclastic flow and threaten populations who live on its flanks. Here, we assessed the potential hazard of the Merapi lava dome by using drone photogrammetry and numerical modeling. Results show a weak structural depression that is associated with high thermal imaging in the southern Merapi lava dome sector. The southern lava dome sector may be further destabilized by typical rainfall at the Merapi summit and produce pyroclastic flow up to 4 km.
Stefania Bartolini, Carmen López, Laura Becerril, Rosa Sobradelo, and Joan Martí
Nat. Hazards Earth Syst. Sci., 18, 1759–1770, https://doi.org/10.5194/nhess-18-1759-2018, https://doi.org/10.5194/nhess-18-1759-2018, 2018
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The most challenging aspect of forecasting volcanic eruptions is the correct identification and interpretation of precursors during the episodes that normally precede eruptive activity. We show an easy and useful approach to the understanding of the information recorded by the monitoring system and show how this information can be used to forecast an eruption and its potential hazards in real time. This methodology can be used to facilitate communication between scientists and decision-makers.
Elena Gerwing, Matthias Hort, Jörn Behrens, and Bärbel Langmann
Nat. Hazards Earth Syst. Sci., 18, 1517–1534, https://doi.org/10.5194/nhess-18-1517-2018, https://doi.org/10.5194/nhess-18-1517-2018, 2018
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This article describes the first volcanic emission advection model based on an adaptive mesh. The advection of volcanic emissions plays a crucial role in climate research, air traffic control and human wellbeing. In contrast to already existing volcanic emission dispersion models relying on a fixed grid, the application of an adaptive mesh enables us to simulate the advection of volcanic emissions with a high local resolution while minimizing computational cost.
Natalie J. Harvey, Nathan Huntley, Helen F. Dacre, Michael Goldstein, David Thomson, and Helen Webster
Nat. Hazards Earth Syst. Sci., 18, 41–63, https://doi.org/10.5194/nhess-18-41-2018, https://doi.org/10.5194/nhess-18-41-2018, 2018
Laura Becerril, Joan Martí, Stefania Bartolini, and Adelina Geyer
Nat. Hazards Earth Syst. Sci., 17, 1145–1157, https://doi.org/10.5194/nhess-17-1145-2017, https://doi.org/10.5194/nhess-17-1145-2017, 2017
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Lanzarote is an island (Canaries, Spain), that has hosted the largest and longest eruption in the archipelago (Timanfaya 1730–36). It brought severe economic losses and forced local people to migrate. We have developed the first comprehensive hazard assessment for the island. New eruptions will take place close to the last one and will be characterised by Strombolian activity, with ash emission towards the S, medium-length lava flows and hydromagmatic activity only close to the coastal areas.
Arnau Folch, Jordi Barcons, Tomofumi Kozono, and Antonio Costa
Nat. Hazards Earth Syst. Sci., 17, 861–879, https://doi.org/10.5194/nhess-17-861-2017, https://doi.org/10.5194/nhess-17-861-2017, 2017
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Atmospheric dispersal of a gas denser than air can threat the environment and surrounding communities. In complex terrains, microscale winds and local orographic features can have a strong influence on the gas cloud behavior, potentially leading to inaccurate model results if not captured by coarser-scale simulations. We introduce a methodology for microscale wind field characterization and validate it using, as a test case, the CO2 gas dispersal from 1986 Lake Nyos eruption.
Cited articles
Abrahamson, N. A. and Bommer, J. J.: Probability and uncertainty in seismic hazard analysis, Earthq. Spectra, 21, 603–607, 2005.
Aspinall, W. P., Woo, G., Voight, B., and Baxter, P.: Evidence-based volcanology: application to eruption crises, J. Volcanol. Geoth. Res., 128, 273–285, 2003.
Bayarri, M. J. and Berger, J. O.: The interplay of Bayesian and frequentist analysis, Stat. Sci., 19, 58–80, 2004.
Bear-Crozier, N., Miller, V., Newey, V., Horspool, N., and Weber, R.: Probabilistic Volcanic Ash Hazard Analysis (PVAHA) I: development of the VAPAH tool for emulating multi-scale volcanic ash fall analysis, J. Appl. Volcanol., 5, 3, 2016.
Bebbington, M.: Trends and clustering in the onsets of volcanic eruptions, J. Geophys. Res., 115, B01203, 2010.
Bedford, T. and Cooke, R.: Probabilistic risk analysis: foundations and methods, Cambridge University Press, Cambridge, 2001.
Berger, J.: The case for objective Bayesian analysis, Bayesian Anal., 1, 1–17, 2004.
Bevilacqua, A., Isaia, R., Neri, A., Vitale, S., Aspinall, W. P., Bisson, M., Flandoli, F., Baxter, P. J., Bertagnini, A., Esposti Ongaro, T., Iannuzzi, E., Pistolesi, M., and Rosi, M.: Quantifying volcanic hazard at Campi Flegrei caldera (Italy) with uncertainty assessment: 1. Vent opening maps, J. Geophys. Res.-Sol. Ea., 120, 2309–2329, 2015.
Bommer, J. J. and F. Scherbaum: The use and misuse of logic trees inprobabilistic seismic hazard analysis, Earthq. Spectra, 24, 997–1009, 2008.
Box, G. E. P.: Sampling and Bayes inference in scientific modelling and robustness, J. R. Statist. Soc. A, 143, 383–430. 1980.
Castaños, H. and Lomnitz, C.: PSHA: Is it science?, Eng. Geol., 66, 315–317, 2002.
de Finetti, B.: Theory of Probability: A Critical Introductory Treatment, John Wiley and Sons, London, 1974.
Deligne, N. I., Coles, S. G., and Sparks, R. S. J.: Recurrence rates of large explosive volcanic eruptions, J. Geophys. Res.-Sol. Ea., 115, B06203, 2010.
Draper, D., Hodges, J., Mallows, C., and Pregibon, D.: Exchangeability and data analysis (with discussion), J. R. Statist. Soc. A, 156, 9–37, 1993.
Galton, F.: Vox populi, Nature, 75, 450–451, 1907.
Gelman, A. and Shalizi C. R.: Philosophy and the practice of Bayesian statistics, Br. J. Math. Stat. Psy., 66, 8–38, 2013.
Gelman, A., Carlin, J. B., Stern, H. S., and Rubin, D. B.: Bayesian Data Analysis, second edn., Chapman and Hall, London, 2003.
Hacking, I.: The Logic of Statistical Inference, Cambridge University Press, Cambridge, 1965.
IAEA: Volcanic hazards in site evaluation for nuclear installations: specific safety guide, IAEA safety standards series, International Atomic Energy Agency, Vienna, ISSN 1020–525X; no. SSG-21, 2012.
IPCC: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, UK and New York, NY, USA, 1535 pp., 2013.
Jaynes, E. T.: Probability theory: the logic of Science, Cambridge University Press, New York, 2003.
Jenkins, S. F., Wilson, T. M., Magill, C., Miller, V., Stewart, C., Blong, R., Marzocchi, W., Boulton, M., Bonadonna, C., and Costa, A.: Volcanic ash fall hazard and risk, in: Global Volcanic Hazards and Risk, edited by: Loughlin, S., Sparks, S., Brown, S., Jenkins, S., and Vye-Brown, C., Cambridge University Press, Cambridge, 173–222, 2015.
Leith, C. E.: Theoretical Skill of Monte Carlo Forecasts, Mon. Weather Rev., 102, 409–418, 1974.
Lindley, D. V.: The philosophy of statistics, Statistician, 49, 293–337, 2000.
Marti, J., Aspinall, W. P., Sobradelo, R., Felpeto, A., Geyer, A., Ortiz, R., Baxter, P., Cole, P., Pacheco, J., Blanco, M. J., and Lopez, C.: A long-term volcanic hazard event tree for Teide-Pico Viejo stratovolcanoes (Tenerife, Canary Islands). J. Volcanol. Geoth. Res., 178, 543–552, 2008.
Martin, A. J., Umeda, K., Connor, C. B., Weller, J. N., Zhao, D., and Takahashi, M.: Modeling long-term volcanic hazards through Bayesian inference: an example from the Tohoku volcanic arc, Japan, J. Geophys. Res., 109, B10208, 2004.
Marzocchi, W. and Bebbington, M.: Probabilistic eruption forecasting at short and long time scales, B. Volcanol., 74, 1777–1805, 2012.
Marzocchi, W. and Jordan, T. H.: Testing for Ontological Errors in Probabilistic Forecasting Models of Natural Systems, P. Natl. Acad. Sci. USA, 85, 955–959, 2014.
Marzocchi, W. and Jordan, T. H.: A unified probabilistic framework for seismic hazard analysis, B. Seismol. Soc. Am., 107, 2738–2744, 2017.
Marzocchi, W. and Jordan, T. H.: Experimental concepts for testing probabilistic earthquake forecasting and seismic hazard models, Geophys. J. Int., 215, 780–798, 2018.
Marzocchi, W., Sandri, L., Gasparini, P., Newhall, C. N., and Boschi, E.: Quantifying probabilities of volcanic events: the example of volcanic hazard at Mount Vesuvius, J. Geophys. Res., 109, B11201, 2004.
Marzocchi, W., Sandri, L., and Selva, J.: BET_EF: a probabilistic tool for long- and short-term eruption forecasting, B. Volcanol., 70, 623–632, 2008.
Marzocchi, W., Sandri, L., and Selva, J.: BET_VH: a probabilistic tool for long-term volcanic hazard assessment, B. Volcanol., 72, 705–716, 2010.
Marzocchi, W., Taroni, M., and Selva, J.: Accounting for epistemic uncertainty in PSHA: logic tree and ensemble modeling, B. Seismol. Soc. Am., 105, 2151–2159, 2015.
MCDEM [New Zealand Ministry of Civil Defence & Emergency Management]: Tsunami evacuation zones: director's guideline for Civil Defence Emergency Management Groups, Ministry of Civil Defence & Emergency Management, Wellington, 2008.
Mulargia, F., Stark, P. B., and Geller, R. J.: Why is probabilistic seismic hazard analysis (PSHA) still used?, Phys. Earth Planet. In., 264, 63–75, 2017.
Neri, A., Aspinall, W. P., Cioni, R., Bertagnini, A., Baxter, P. J., Zuccaro, G., Andronico, D., Barsotti, S., Cole, P. D., Esposti Ongaro, T., Hincks, T. K., Macedonio, G., Papale, P., Rosi, M., Santacroce, R., and Woo, G.: Developing an Event Tree for Probabilistic Hazard and Risk Assessment at Vesuvius, J. Volcanol. Geoth. Res., 178, 397–415, 2008.
Newhall, C. G. and Hoblitt, R.: Constructing event trees for volcanic crises, B. Volcanol., 64, 3–20, 2002.
Newhall, C. G. and Pallister, J. S.: Using Multiple Data Sets to Populate Probabilistic Volcanic Event Trees, in: Volcanic Hazards, Risks and Disasters, edited by: Shroder, J. F. and Papale, P., Elsevier, Amsterdam, 203–232, 2015.
NRC, National Research Council Panel on Seismic Hazard Evaluation: Review of Recommendations for Probabilistic Seismic Hazard Analysis: Guidance on Uncertainty and Use of Experts, National Academy of Sciences, Washington, DC, 84 pp., ISBN 0-309-56207-4, 1997.
Poland, M. P. and Anderson, K. R.: Partly cloudy with a chance of lava flows: Forecasting volcanic eruptions in the twenty-first century, J. Geophys. Res.-Sol. Ea., 125, e2018JB016974, 2020.
Reilly, A. C., Baroud, H., Flage, R., and Gerst, M. D.: Sources of uncertainty in interdependent infrastructure and their implications, Reliab. Eng. Syst. Safe., 213, 107756, https://doi.org/10.1016/j.ress.2021.107756, 2021.
Rougier, J. C.: Quantifying hazard losses, in: Risk and uncertainty assessment for natural hazards, edited by: Rougier, J., Sparks, S., and Hill, L., Cambridge University Press, Cambridge, 19–39, 2013.
Rougier, J. C. and Beven, K. J.: Model and data limitations: the sources and implications of epistemic uncertainty, in: Risk and uncertainty assessment for natural hazards, edited by: Rougier, J., Sparks, S., and Hill, L., Cambridge University Press, Cambridge, 40–63, 2013.
Rubin, D. B.: Bayesian justifiable and relevant frequency calculations for the applied statistician, Ann. Stat., 12, 1151–1172, 1984.
Sandri, L., Costa, A., Selva, J., Macedonio, G., Tonini, R., Folch, A., and Sulpizio, R.: Beyond eruptive scenarios: tephra fall from Neapolitan volcanoes, Sci. Rep., 6, 24271, 2016.
Scherbaum, F. and Kuehn N. M.: Logic tree branch weights and probabilities: Summing up to one is not enough, Earthq. Spectra, 27, 1237–1251, 2011.
Selva, J., Costa, A., Marzocchi, W., and Sandri, L.: BET_VH: Exploring the infuence of natural uncertainties on long-term hazard from tephra fallout at Campi Flegrei (Italy), B. Volcanol., 72, 717–733, 2010.
Selva, J., Argyroudis, S., and Pitilakis, K.: Impact on loss/risk assessments of inter-model variability in vulnerability analysis, Nat. Hazards, 67, 723–746, 2013.
Selva, J., Costa, A., De Natale, G., Di Vito, M. A., Isaia, R., and Macedonio, G.: Sensitivity test and ensemble hazard assessment for tephra fallout at Campi Flegrei, Italy, J. Volcanol. Geotherm. Res., 351, 1–28, 2018.
Silver, N.: The Signal and the Noise: Why So Many Predictions Fail-but Some Don't, The Penguin Press, New York, NY, 2012.
Sobradelo, R. and Marti, J.: Bayesian event tree for long-term volcanic hazard assessment: application to Teide-Pico Viejo stratovolcanoes, Tenerife, Canary Islands, J. Geophys. Res., 115, B05206, 2010.
Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M., and Miller, H. L. (Eds.): Climate change 2007: the physical science basis: contribution of Working Group I to the fourth assessment report of the intergovernmental panel on climate change, Cambridge University Press, Cambridge and New York, 2007.
Sparks, R. S. J.: Forecasting volcanic eruptions, Earth Planet. Sc. Lett., 210, 1–15, 2003.
Stark, P. B.: Pay no attention to the model behind the
curtain, in: Significant Digits: Responsible Use of Quantitative
Information, edited by: Saltelli, A. and Guimarães Pereira,
Â., Megaloceros Press, University of Bergen, Bergen,
Norway, 2017.
Stein, S. and Stein, J. L.: Shallow versus deep uncertainties in natural hazard assessments, EOS T. Am. Geophys. Un., 94, 133–140, 2013.
Tierz, P., Loughlin, S. C., and Calder, E. S.: VOLCANS: an objective, structured and reproducible method for identifying sets of analogue volcanoes, B. Volcanol., 81, 76, 2019.
Short summary
Eruption forecasting and volcanic hazard analysis are pervaded by uncertainty of different kinds, such as the natural randomness, our lack of knowledge, and the so-called unknown unknowns. After discussing the limits of how classical probabilistic frameworks handle these uncertainties, we put forward a unified probabilistic framework which unambiguously defines uncertainty of different kinds, and it allows scientific validation of the hazard model against independent observations.
Eruption forecasting and volcanic hazard analysis are pervaded by uncertainty of different...
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