Responding to eruptive transitions during the 2020-2021 eruption of La Soufrière volcano, St. Vincent.

Responding to eruptive transitions during the 2020-2021 eruption of La Soufrière volcano, St. Vincent.
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DOI:
10.1038/s41467-022-31901-4
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发表时间:
2022-07-15
影响因子:
16.6
通讯作者:
--
中科院分区:
综合性期刊1区
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火山紧急情况期间的一个关键挑战是应对喷发行为的迅速变化。在不确定性不断上升的时代,可操作的建议至关重要,这要求快速综合和交流多个数据集。2020-2021年拉苏弗里埃尔火山的爆发凸显了这些挑战:2021年4月9日至22日的一系列爆炸之前,有三个月的热情洋溢的活动,开始时检测到的动荡程度非常低。在这里,我们将展示如何发展一个不断发展的概念模型,并通过与此模型相关的启发和场景的不确定性的表达,是预测这种转变的关键。这不仅需要来自多个监测数据集的输入,还需要通过最先进的危害评估以及关键决策时间表和社区需求的循证知识进行情境化。此外,我们还分享了在资源有限的环境中识别和应对爆发过渡的限制所采取的策略,这可能会指导全球面临类似挑战的火山观测站。2020 - 2021年拉苏弗里埃尔火山的喷发从喷涌式转变为爆发式。在这里,作者表明,来自多个监测数据集和不断发展的概念模型的输入是预测和应对圣文森特拉苏弗里耶尔火山在资源有限的环境中爆发过渡的关键。
A critical challenge during volcanic emergencies is responding to rapid changes in eruptive behaviour. Actionable advice, essential in times of rising uncertainty, demands the rapid synthesis and communication of multiple datasets with prognoses. The 2020–2021 eruption of La Soufrière volcano exemplifies these challenges: a series of explosions from 9–22 April 2021 was preceded by three months of effusive activity, which commenced with a remarkably low level of detected unrest. Here we show how the development of an evolving conceptual model, and the expression of uncertainties via both elicitation and scenarios associated with this model, were key to anticipating this transition. This not only required input from multiple monitoring datasets but contextualisation via state-of-the-art hazard assessments, and evidence-based knowledge of critical decision-making timescales and community needs. In addition, we share strategies employed as a consequence of constraints on recognising and responding to eruptive transitions in a resource-constrained setting, which may guide similarly challenged volcano observatories worldwide. The 2020 – 2021 eruption of La Soufrière volcano transitioned from an effusive to explosive eruption style. Here the authors show that input from multiple monitoring datasets and an evolving conceptual model were key to anticipating and responding to the eruptive transition at the La Soufrière volcano, St. Vincent, in a resource-constrained setting.
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