Abstract

The process of particle aggregation significantly affects ash settling dynamics associated with volcanic explosive eruptions. Several experiments have been carried out to investigate the physics of ash aggregation and dedicated numerical schemes have been developed to produce more accurate forecasting of ash dispersal and sedimentation. However, numerical description of particle aggregation is complicated by the lack of complete datasets on natural samples required for model validation and calibration. Here we present a first comprehensive dataset for the internal structure, aerodynamical properties (e.g., size, density, terminal velocity) and grain size of constituting particles of a variety of aggregate types collected in the natural laboratory of Sakurajima Volcano (Japan). Even though the described particle clusters represent the most common types of aggregates associated with ash-rich fallouts, they are of difficult characterization due to the very low potential of preservation in tephra-fallout deposits. Properties were, therefore, derived based on a combination of high-resolution-high-speed videos of tephra fallout, scanning electron microscope analysis of aggregates collected on adhesive paper and analysis of tephra samples collected in dedicated trays. Three main types of particle clusters were recognized and quantitively characterized: cored clusters (PC3), coated particles (PC2), and ash clusters (PC1) (in order of abundance). A wide range of terminal velocities (0.5–4 m/s) has been observed for these aggregates, with most values varying between 1 and 2 m/s, while aggregate size varies between 200 and 1,200 µm. PC1, PC2, and PC3 have densities between 250 and 500, 1,500 and 2,000, and 500 and 1,500 kg/m3, respectively. The size of the aggregate core, where present, varies between 200 and 750 µm and increases with aggregate size. Grain size of tephra samples was deconvoluted into a fine and a coarse Gaussian subpopulation, well correlated with the grain size of shells and of the internal cores of aggregates, respectively. This aspect, together with the revealed abundance of PC3 aggregates, reconciles the presence of a large amount of fine ash (aggregate shells) with coarse ash (aggregate cores) and better explains the grain size distribution bimodality, the high settling velocity with respect to typical PC1 velocities and the low settling velocities of large aggregates with respect to typical PC2 velocity. Furthermore, ash forming the aggregates was shown to be always finer than 45 µm, confirming the key role played by aggregation processes in fine ash deposition at Sakurajima.

Highlights

  • In the last 30 years, several studies reported accurate descriptions of ash aggregates observed during fallout or in pyroclastic deposits of past eruptions (Brown et al, 2012 and references therein)

  • The presented results form a wide and reliable dataset of particle clusters including important physical and aerodynamic parameters, which are extremely valuable for the physical characterisation of aggregates and aggregating ash, and for the validation of volcanic ash transport and dispersal models

  • Considering that PC3 are abundant during all the investigated period, and the shell of PC3 can represent a significant volume fraction of the whole aggregate volume (>40% vol.), we suggest this category as the one that mostly controlled the dynamics of the fine ash dispersal during the analyzed eruptions at Sakurajima

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Summary

Introduction

In the last 30 years, several studies reported accurate descriptions of ash aggregates observed during fallout or in pyroclastic deposits of past eruptions (Brown et al, 2012 and references therein). Such a strategy allows for physical and aerodynamic parameters of particle clusters to be derived before their disruption at the moment of impact with the ground (Taddeucci et al, 2011; Bagheri et al, 2016; Miwa et al, 2020) For this reason, in this study, we have adopted the state-of-the-art technique involving a high-speed, high-resolution (HS-HR) camera coupled with ground observations and ash collection on adhesive paper aimed at the detailed characterization of aggregates (Bagheri et al, 2016). Specific aerodynamic features (terminal velocity, morphology of falling aggregates) and identification of aggregate types can only be described based on HS-HR videos

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