The advancement of technology in predicting phreatic eruptions has been a subject of extensive research in recent years. Various studies have highlighted the challenges and potential methods for forecasting these eruptions.
Stix and Moor (2018) proposed that integrating datasets during a monitoring program could lead to accurate forecasting of phreatic eruptions. This suggests that a comprehensive and integrated approach to monitoring could enhance prediction capabilities.
Additionally, Narita et al. (2020) revealed that an episodic increase in the supply rate of magmatic fluids from a deep magma reservoir provided a clue for predicting future eruption sites, emphasizing the importance of continuous monitoring and analysis of magmatic fluid dynamics.
Furthermore, technological advances in engineering and numerical modeling have been shown to be crucial in understanding the physical, chemical, and dynamic processes underlying phreatic eruptions (Cimarelli et al., 2022). This highlights the significance of advanced modeling techniques in predicting and understanding the mechanisms of phreatic eruptions.
Additionally, the use of synthetic aperture radar (SAR) technology has enabled the observation of posteruptive deflation after phreatic eruptions in various volcanoes, indicating the potential for SAR technology in post-eruption analysis and prediction (Doke et al., 2021).
Moreover, recent studies have emphasized the role of hydrothermal processes, such as interactions among water, rocks, and magmatic heat and gas, in driving phreatic eruptions (Zhang et al., 2021). This highlights the importance of understanding hydrothermal systems and their dynamics in predicting phreatic eruptions. Additionally, Yaguchi et al. (2021) demonstrated that groundwater interacting with hot plastic magma triggered phreatic eruptions, indicating the significance of studying subsurface interactions for prediction purposes.
In brief, recent technological progress in predicting phreatic eruptions has concentrated on integrated monitoring programs, advanced modeling techniques, SAR technology, and understanding hydrothermal processes and subsurface interactions. These advancements highlight the multi-disciplinary aspect of phreatic eruption prediction and the significance of ongoing monitoring and analysis of volcanic systems.