Collaborative Proposal: Bubble Size Distributions as a Diagnostic Tool for Volcanic Processes

该项目的主要重点是开发新的间接方法，根据对泡状火山产物中气泡大小分布的统计分析来推断火山管道和室中的岩浆和泡状条件。在适当的机制框架下，气泡尺寸分布（BSD）应该能够提供一个新的维度来理解火山系统和喷发风格，以补充岩石学，岩浆化学和地球物理观测中出现的见解。在这项研究中，将开发一种科学方法，利用观测到的气泡群来推断驱动火山爆发的岩浆泡状形成条件和过程。这项研究的最终结果将使该社区能够使用普遍可用的泡状火山产品作为“遥感”工具，记录火山爆发之前和期间的岩浆历史，为实现这一研究目标，将从火山产品中获得高质量的“观测到的BSD”，以与特定泡状过程的数值蒙特卡罗模拟结果的“模拟BSD”进行比较。综合观测和模拟的火山喷发数据，通过研究火山岩火山喷发数据中记录的火山喷发历史，将有可能对岩浆条件和火山喷发驱动因素（火山喷发过程）进行“遥感”。这将产生更广泛的影响，使喷发产品被用来更有效地确定喷发过程，并最终预测喷发能量，风格和减灾时间。

The primary focus of the project is to develop new indirect methods to infer magmatic and vesiculation conditions in volcanic conduits and chambers from statistical analysis of bubble size distributions in vesicular volcanic products. With the appropriate mechanistic framework, bubble size distributions (BSD) should be able to provide a new dimension of understanding of volcanic systems and eruption styles to complement insights that have emerged from petrology, magma chemistry and geophysical observations. In this study, a scientific methodology will be developed for using observed bubble populations to infer the magmatic vesiculation conditions and processes that drive volcanic eruptions. The end result of the study will enable the community to use commonly available vesicular volcanic products as "remote sensing" tools that record magma history prior to and during volcanic eruptions.To achieve this research goal, high quality "observed BSDs" will be obtained from volcanic products to compare with "simulated BSDs" resulting from numerical Monte Carlo simulations of specific vesiculation processes. A synthesis of observed and simulated BSDs will make possible "remote sensing" of magmatic conditions and volcanic eruption drivers (vesiculation processes) by studying the vesiculation history recorded in the BSDs in volcanic rocks. This will have a broader impact in allowing eruption products to be used to more effectively determine eruption processes and ultimately to predict eruption energy, style, and timing for hazard mitigation.