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The longevity of lava dome eruptions

机译:熔岩圆顶爆发的寿命

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摘要

Understanding the duration of past, ongoing, and future volcanic eruptions is an important scientific goal and a key societal need. We present a new methodology for forecasting the duration of ongoing and future lava dome eruptions based on a database (DomeHaz) recently compiled by the authors. The database includes duration and composition for 177 such eruptions, with eruption defined as the period encompassing individual episodes of dome growth along with associated quiescent periods during which extrusion pauses but unrest continues. In a key finding, we show that probability distributions for dome eruption durations are both heavy tailed and composition dependent. We construct objective Bayesian statistical models featuring heavy-tailed Generalized Pareto distributions with composition-specific parameters to make forecasts about the durations of new and ongoing eruptions that depend on both eruption duration to date and composition. Our Bayesian predictive distributions reflect both uncertainty about model parameter values (epistemic uncertainty) and the natural variability of the geologic processes (aleatoric uncertainty). The results are illustrated by presenting likely trajectories for 14 dome-building eruptions ongoing in 2015. Full representation of the uncertainty is presented for two key eruptions, Soufriere Hills Volcano in Montserrat (10-139years, median 35years) and Sinabung, Indonesia (1-17years, median 4years). Uncertainties are high but, importantly, quantifiable. This work provides for the first time a quantitative and transferable method and rationale on which to base long-term planning decisions for lava dome-forming volcanoes, with wide potential use and transferability to forecasts of other types of eruptions and other adverse events across the geohazard spectrum.
机译:了解过去,正在进行和将来的火山喷发的持续时间是重要的科学目标,也是社会的关键需求。我们基于作者最近汇编的数据库(DomeHaz),提出了一种新的方法来预测正在进行和将来的熔岩穹顶爆发的持续时间。该数据库包括177次此类喷发的持续时间和组成,喷发定义为涵盖穹顶生长的各个时间段以及相关的静止期,在此期间挤压暂停但动荡持续。在一项关键发现中,我们证明了穹顶喷发持续时间的概率分布既重尾又依赖于组成。我们构建具有特征化参数的重尾广义帕累托分布特征的客观贝叶斯统计模型,以对新发和持续爆发的持续时间做出预测,而持续时间取决于迄今为止的爆发持续时间和爆发组成。我们的贝叶斯预测分布既反映了模型参数值的不确定性(经验不确定性)又反映了地质过程的自然变化性(无定理不确定性)。通过介绍2015年正在进行的14个圆顶建筑喷发的可能轨迹来说明结果。完整说明了两个关键喷发的不确定性,这两个喷发分别是蒙特塞拉特的Soufriere Hills火山(10-139年,中位数35年)和印度尼西亚锡那蓬(1- 17年,中位4年)。不确定性很高,但重要的是可以量化。这项工作首次为定量和可转移的方法和原理提供了依据,为熔岩穹顶形成火山的长期规划决策奠定了基础,并具有广泛的潜在用途和可转移性,可以预测整个地质灾害中其他类型的喷发和其他不良事件光谱。

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