Dipartimento di Scienze Chimiche e Geologiche, Università di Cagliari, Cagliari, Italy.
Département des Sciences de la Terre, Université de Genève, Genève, Switzerland.
Sci Rep. 2019 Jul 10;9(1):10006. doi: 10.1038/s41598-019-46125-8.
Total Grain-Size Distribution (TGSD) of tephra deposits is key to the characterization of explosive volcanism, plume-dispersal modeling, and magmatic fragmentation studies. Nonetheless, various aspects that includes deposit exposure and data fitting make its determination extremely complex and affect its representativeness. In order to shed some lights on the reliability of derived TGSDs, we examine a large TGSD dataset in combination with a sensitivity analysis of sampling strategies. These analyses are based both on a well-studied tephra deposit and on synthetic deposits associated with a variety of initial eruptive and atmospheric conditions. Results demonstrate that TGSDs can be satisfactorily fitted by four distributions (lognormal, Rosin-Rammler, and power-law based either on the absolute or cumulative number of particles) that capture different distribution features. In particular, the Rosin-Rammler distribution best reproduces both the median and the tails of the TGSDs. The accuracy of reconstructed TGSDs is strongly controlled by the number and distribution of the sampling points. We conclude that TGSDs should be critically assessed based on dedicated sampling strategies and should be fitted by one of the mentioned theoretical distributions depending on the specific study objective (e.g., tephra-deposit characterization, physical description of explosive eruptions, tephra-dispersal modeling).
火山灰堆积物的全粒级分布(TGSD)是描述爆炸式火山喷发、羽流分散模型和岩浆碎裂研究的关键。然而,包括沉积物暴露和数据拟合在内的各个方面使得其测定极其复杂,并影响其代表性。为了阐明所得 TGSD 的可靠性,我们结合采样策略的敏感性分析,研究了一个大型 TGSD 数据集。这些分析基于一个经过充分研究的火山灰堆积物和与各种初始喷发和大气条件相关的合成堆积物。结果表明,四种分布(对数正态分布、Rosin-Rammler 分布和基于绝对或累积颗粒数的幂律分布)可以很好地拟合 TGSD,从而捕捉不同的分布特征。特别是,Rosin-Rammler 分布能够最好地再现 TGSD 的中位数和尾部。重建的 TGSD 的准确性受到采样点的数量和分布的强烈控制。我们得出结论,应根据专门的采样策略对 TGSD 进行严格评估,并根据具体的研究目标(例如,火山灰堆积物特征描述、爆炸式喷发的物理描述、火山灰分散模型)选择上述理论分布之一进行拟合。