Articles | Volume 26, issue 6
https://doi.org/10.5194/nhess-26-2551-2026
© Author(s) 2026. 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-26-2551-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication: Vent opening at Campi Flegrei – clues from dyke propagation patterns
Dipartimento di Scienze della Terra, dell'Ambiente e delle Risorse (DiSTAR), University of Naples Federico II, Naples, Italy
Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Vesuviano, Naples, Italy
Nello Mangone
Dipartimento di Scienze della Terra, dell'Ambiente e delle Risorse (DiSTAR), University of Naples Federico II, Naples, Italy
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Short summary
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We develop a probabilistic framework for modeling volcanic eruption sizes. Assuming a power-law distribution on erupted volumes, we analyze how measurement error can cause the observed trend to deviate from such a distribution. We apply this framework to Campi Flegrei, Italy, and Taupo, New Zealand, and observe that when the error is properly accounted for, the data distribution is compatible with a power-law, supporting the use of such a distribution in size forecasting.
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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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Short summary
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 path 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 existing topographic peaks. High probability areas correlate well with caldera’s structure and recent major seismicity.
Forecasting the potential position of future eruptions is fundamental for managing volcanic...
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