期刊论文详细信息
Frontiers in Digital Humanities
Stochastic Modeling of Past Volcanic Crises
Woo, Gordon1 
[1] RMS, United Kingdom
关键词: Volcanic;    Crisis;    stochastic;    modeling;    counterfactual;    Montserrat;    Ontake;   
DOI  :  10.3389/feart.2018.00001
学科分类:社会科学、人文和艺术(综合)
来源: Frontiers
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【 摘 要 】

The statistical foundation of disaster risk analysis is past experience. From a scientific perspective, history is just one realization of what might have happened, given the randomness and chaotic dynamics of Nature. Stochastic analysis of the past is an exploratory exercise in counterfactual history, considering alternative possible scenarios. In particular, the dynamic perturbations that might have transitioned a volcano from an unrest to an eruptive state need to be considered. The stochastic modeling of past volcanic crises leads to estimates of eruption probability that can illuminate historical volcanic crisis decisions. It can also inform future economic risk management decisions in regions where there has been some volcanic unrest, but no actual eruption for at least hundreds of years. Furthermore, the availability of a library of past eruption probabilities would provide benchmark support for estimates of eruption probability in future volcanic crises.

【 授权许可】

CC BY   

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