Abstract

Water solubility in trachytic and pantelleritic melts: an experimental study

Highlights

  • Comparison of the experimental data with the thermodynamic models shows that the empirical model of Moore et al [1998] better matches the experimental data for both compositions, while the thermodynamic models of Papale et al [2006] and Ghiorso and Gualda [2015] tend to overestimate melt water content, probably due to the paucity of peralkaline melt compositions used for calibration

  • The water content ranges from 2.6 at 50 MPa to 5.8 at 200 MPa and in this case two additional experiments were performed at 2 MPa (Table 3)

  • This study was aimed at constraining the water solubility in trachyte and pantellerite melts from Pantelleria island

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Summary

Introduction

Water solubility in silicate melts has been widely investigated because of the important effects it has on magma properties, such as viscosity and density [e.g. Dingwell et al, 1996, Richet et al., 1996], liquidus and solidus temperatures, phase compositions [e.g. Sisson and Grove, 1993] and mineral stabilities [Housh and Luhr, 1991, Holtz et al, 1992], and crystallization kinetics [e.g. Watson, 1994, Cashman and Mangan, 1994, Arzilli et al, 2020] and eruptive dynamics [e.g. Cassidy et al, 2018]. Water solubility in silicate melts has been widely investigated because of the important effects it has on magma properties, such as viscosity and density [e.g. Water solubility has been thoroughly investigated in basaltic and rhyolitic compositions [e.g. Less attention has been paid to compositions such as trachytic melts, which usually represents the parental composition to peralkaline rhyolite/phonolite melts: only Di Matteo et al [2004] and Fanara et al [2015] have obtained solubility data on such compositions. Trachyte and pantellerite magmas are involved in explosive eruptions, some of which can be of large magnitude (e.g. Tambora 1815, Campanian Ignimbrite 39 kyr, Green Tuff 45 kyr), and it is vital to accurately constrain water solubility in such melts. Enlarging the spectrum of available solubility data is crucial to further improve already existing solubility models [e.g. Papale et al, 2006, Ghiorso and Gualda, 2015]

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