Gouhier Mathieu, Eychenne Julia, Azzaoui Nourddine, Guillin Arnaud, Deslandes Mathieu, Poret Matthieu, Costa Antonio, Husson Philippe
Université Clermont Auvergne, CNRS, IRD, OPGC, Laboratoire Magmas et Volcans, F-63000, Clermont-Ferrand, France.
Laboratoire de Mathématiques Blaise Pascal, UMR 6620 CNRS & UCA, Aubière, France.
Sci Rep. 2019 Feb 5;9(1):1449. doi: 10.1038/s41598-019-38595-7.
Volcanic ash clouds are common, often unpredictable, phenomena generated during explosive eruptions. Mainly composed of very fine ash particles, they can be transported in the atmosphere at great distances from the source, having detrimental socio-economic impacts. However, proximal settling processes controlling the proportion (ε) of the very fine ash fraction distally transported in the atmosphere are still poorly understood. Yet, for the past two decades, some operational meteorological agencies have used a default value of ε = 5% as input for forecast models of atmospheric ash cloud concentration. Here we show from combined satellite and field data of sustained eruptions that ε actually varies by two orders of magnitude with respect to the mass eruption rate. Unexpectedly, we demonstrate that the most intense eruptions are in fact the least efficient (with ε = 0.1%) in transporting very fine ash through the atmosphere. This implies that the amount of very fine ash distally transported in the atmosphere is up to 50 times lower than previously anticipated. We explain this finding by the efficiency of collective particle settling in ash-rich clouds which enhance early and en masse fallout of very fine ash. This suggests that proximal sedimentation during powerful eruptions is more controlled by the concentration of ash than by the grain size. This has major consequences for decision-makers in charge of air traffic safety regulation, as well as for the understanding of proximal settling processes. Finally, we propose a new statistical model for predicting the source mass eruption rate with an unprecedentedly low level of uncertainty.
火山灰云是爆炸式火山喷发期间常见且常常不可预测的现象。它们主要由极细的火山灰颗粒组成,能在大气中从源地被输送到很远的距离,产生有害的社会经济影响。然而,控制极细火山灰部分在大气中远距离输送比例(ε)的近源沉降过程仍未得到充分理解。不过,在过去二十年里,一些业务气象机构一直将ε = 5% 的默认值用作大气火山灰云浓度预测模型的输入。在此,我们根据持续火山喷发的卫星和实地综合数据表明,ε实际上随火山喷发质量速率变化两个数量级。出乎意料的是,我们证明最强的火山喷发在通过大气输送极细火山灰方面实际上效率最低(ε = 0.1%)。这意味着在大气中远距离输送的极细火山灰量比之前预期的低多达50倍。我们通过富含火山灰云层中颗粒集体沉降的效率来解释这一发现,这种效率会增强极细火山灰的早期和整体沉降。这表明强烈火山喷发期间的近源沉积更多地受火山灰浓度而非颗粒大小控制。这对负责空中交通安全监管的决策者以及对近源沉降过程的理解都有重大影响。最后,我们提出了一个新的统计模型,用于以前所未有的低不确定性水平预测源地火山喷发质量速率。