About this Research Topic
The modeling of volcano-magmatic systems involves diverse disciplines including geophysics, petrology, geochemistry, volcanology along with physics, mathematics, numerical analysis and informatics engineering. The former disciplines study magma and rock physical properties, the location and shape of magmatic reservoirs, country rock profiles and magma physico-chemical conditions. The latter are aimed at the analytical or numerical solutions of the governing equations for magma dynamics and rock mechanics under appropriate simplifying assumptions. Multiparametric monitoring data provides indirect observations on the dynamics of magmatic systems. A closer integration of models and observational data would make breakthroughs on understanding the underlying physics and chemistry, which would ultimately serve hazard forecasts and risk mitigation.
Volcanic risk assessment and early warning systems essentially should rely on the integration between measurements from the monitoring networks and the underlying magma dynamics, whose comprehension is prevented by the high complexity of volcanic systems. Magma-rock physical modeling is one of the tools used to understand the high complexity. . There is a need for a variety of large datasets of monitored quantities for thoughtful integration with the synthetic signals produced by magma-rock physical models. Also a diversity of models with different simplifying assumptions that tackle different aspects of magma-rock dynamics serve as a pool for the comparison. Multidisciplinary approaches including observations, experiments and modelling in geophysics, volcanology, petrology and geochemistry allow the setup of models and the validation of their outputs. In particular, plenty of numerical methods have been developed in recent decades in the context of industrial fluid-dynamics and solid mechanics, which can be adapted to the problem of magma-rock interaction. Lately, monitoring networks have been implemented to increase the space and time resolution of measurement acquisition, making it possible for a quality comparison between observed quantities and synthetic signals, in order to establish a link between ground observables and subsurface magma dynamics.
This Research Topic aims to gather the latest studies addressing the development and setup of models for magma dynamics and rocks mechanics, which are grounded on multidisciplinary approaches that unravel the complex physico-chemical properties and conditions of magma and the mechanical response of rocks. Application to a generic volcano or a specific case-study should furnish synthetic signals to be cross checked against real monitored observables to establish a link between underground magma dynamics and its ground manifestation.
Potential contributions include, but are not restricted to, the following topics:
• Magma convection and mixing in magma chambers and dikes;
• Rock visco-elastoplasticity;
• Geophysical, volcanological, petrochemical studies providing information for the development of volcanic system models;
• Definition of a volcanic model: Assumption for the equations of state, initial and boundary conditions, and statement of the reliability of the solutions under the simplifying assumptions adopted;
• Development of in-house codes for physical and chemical modelling and data analysis;
• Implementation of the magma-rock physical properties into industrial/commercial existing codes;
• Thoughtful integration of observations and modelling results for the assessment of the potential evolution of magmatic systems; and
• Laboratory analogue models.
This Research Topic has been realized in collaboration with Dr. Ka Lok Li, Post-Doc at the Dublin Institute of Advanced Studies.
Volcanic risk assessment and early warning systems essentially should rely on the integration between measurements from the monitoring networks and the underlying magma dynamics, whose comprehension is prevented by the high complexity of volcanic systems. Magma-rock physical modeling is one of the tools used to understand the high complexity. . There is a need for a variety of large datasets of monitored quantities for thoughtful integration with the synthetic signals produced by magma-rock physical models. Also a diversity of models with different simplifying assumptions that tackle different aspects of magma-rock dynamics serve as a pool for the comparison. Multidisciplinary approaches including observations, experiments and modelling in geophysics, volcanology, petrology and geochemistry allow the setup of models and the validation of their outputs. In particular, plenty of numerical methods have been developed in recent decades in the context of industrial fluid-dynamics and solid mechanics, which can be adapted to the problem of magma-rock interaction. Lately, monitoring networks have been implemented to increase the space and time resolution of measurement acquisition, making it possible for a quality comparison between observed quantities and synthetic signals, in order to establish a link between ground observables and subsurface magma dynamics.
This Research Topic aims to gather the latest studies addressing the development and setup of models for magma dynamics and rocks mechanics, which are grounded on multidisciplinary approaches that unravel the complex physico-chemical properties and conditions of magma and the mechanical response of rocks. Application to a generic volcano or a specific case-study should furnish synthetic signals to be cross checked against real monitored observables to establish a link between underground magma dynamics and its ground manifestation.
Potential contributions include, but are not restricted to, the following topics:
• Magma convection and mixing in magma chambers and dikes;
• Rock visco-elastoplasticity;
• Geophysical, volcanological, petrochemical studies providing information for the development of volcanic system models;
• Definition of a volcanic model: Assumption for the equations of state, initial and boundary conditions, and statement of the reliability of the solutions under the simplifying assumptions adopted;
• Development of in-house codes for physical and chemical modelling and data analysis;
• Implementation of the magma-rock physical properties into industrial/commercial existing codes;
• Thoughtful integration of observations and modelling results for the assessment of the potential evolution of magmatic systems; and
• Laboratory analogue models.
This Research Topic has been realized in collaboration with Dr. Ka Lok Li, Post-Doc at the Dublin Institute of Advanced Studies.
Keywords: magma dynamics, rock mechanics, magma-rock coupling, magma composition, temperature and confining pressure, multiphase flow, rock thermomechanical properties and feedback, fracture dynamics, triggered seismicity, volcanic unrest, hazard assessment, early
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