VESIcal: 2. A Critical Approach to Volatile Solubility Modeling Using an Open‐Source Python3 Engine

VESIcal: 2. A Critical Approach to Volatile Solubility Modeling Using an Open‐Source Python3 Engine
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VESIcal:2. 使用开源 Python3 引擎进行挥发性溶解度建模的关键方法

DOI:
10.1029/2021ea001932
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发表时间:
2022
影响因子:
3.1
通讯作者:
Allison, C. M.
Allison, C. M.
中科院分区:
地球科学3区
文献类型:
--
作者:
Wieser, P. E.;Iacovino, K.;Matthews, S.;Moore, G.;Allison, C. M.

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硅酸盐熔体中H2O和CO2溶解度的精确模型对于理解火山管道系统至关重要。这些模型被用来估计岩浆储存区域的深度从熔融包裹体挥发性含量,调查的作用挥发性出溶作为火山爆发的驱动程序,并跟踪脱气路径,随后由岩浆上升到表面。然而,尽管在过去的二十年里,实验约束的数量大幅增加,但最近的许多研究仍然使用了早期的模型,这些模型是在成分范围有限的实验数据集上校准的。这可能是因为许多用于较新模型的可用工具需要手动输入大量输入参数(例如,温度,H2O,CO2和8-14氧化物的浓度),使得它们难以在大型数据集上实现。在这里,我们使用新的开源Python 3工具VESIcal来严格评估一系列熔体组成的不同溶解度模型的行为和灵敏度。以安山-英安质实验产物和熔融包裹体的文献数据集为例,说明了评估每个模型的校准数据集的重要性。最后,我们强调了特定的数据表示方法,如等压线图的局限性,并提供替代方案的建议,以及关于数据的表示和归档的最佳实践。这一审查将有助于选择最适用的溶解度模型为不同的熔体组合物,并确定在挥发性溶解度的额外的实验约束所需的领域。
Accurate models of H2O and CO2solubility in silicate melts are vital for understanding volcanic plumbing systems. These models are used to estimate the depths of magma storage regions from melt inclusion volatile contents, investigate the role of volatile exsolution as a driver of volcanic eruptions, and track the degassing path followed by a magma ascending to the surface. However, despite the large increase in the number of experimental constraints over the last two decades, many recent studies still utilize an earlier generation of models which were calibrated on experimental datasets with restricted compositional ranges. This may be because many of the available tools for more recent models require large numbers of input parameters to be hand‐typed (e.g., temperature, concentrations of H2O, CO2, and 8–14 oxides), making them difficult to implement on large datasets. Here, we use a new open‐source Python3 tool, VESIcal, to critically evaluate the behaviors and sensitivities of different solubility models for a range of melt compositions. Using literature datasets of andesitic‐dacitic experimental products and melt inclusions as case studies, we illustrate the importance of evaluating the calibration dataset of each model. Finally, we highlight the limitations of particular data presentation methods, such as isobar diagrams, and provide suggestions for alternatives, and best practices regarding the presentation and archiving of data. This review will aid the selection of the most applicable solubility model for different melt compositions, and identifies areas where additional experimental constraints on volatile solubility are required.
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