Towards a structural model for the viscosity of geological melts

被引:29
作者
Giordano, D. [1 ]
Russell, J. K. [2 ]
机构
[1] Univ Turin, Dept Earth Sci, Via Valperga Caluso 35, I-10125 Turin, Italy
[2] Univ British Columbia, Earth Ocean & Atmospher Sci, Vancouver, BC V6T 1Z4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
viscosity; silicate-melt; structure; Raman; model; volcanology; MAGMATIC SILICATE LIQUIDS; CONFIGURATIONAL ENTROPY; RAMAN-SPECTROSCOPY; HIGH-TEMPERATURE; VISCOUS-FLOW; ALUMINOSILICATE GLASSES; HEAT-CAPACITY; WATER-CONTENT; IN-SITU; RHEOLOGY;
D O I
10.1016/j.epsl.2018.08.031
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The viscosity of silicate melts is the most important physical property governing magma transport and eruption dynamics. This macroscopic property is controlled by composition and temperature but ultimately reflects the structural organization of the melt operating at the microscale. At present, there is no explicit relationship connecting viscosity to silicate melt structure and vice versa. Here, we use a single Raman spectroscopic parameter, indicative of melt structure, to accurately forecast the viscosity of natural, multicomponent silicate melts from spectroscopic measurements on glasses preserved on Earth and other planets. The Raman parameter is taken as the ratio of low and high frequency vibrational bands from the silicate glass by employing a green source laser wavelength of 514.5 nm (R-514.5). Our model is based on an empirical linkage between R-514.5 and coefficients in the Vogel-Fulcher-Tammann function for the temperature dependence of melt viscosity. The calibration of the Raman-based model for melt viscosity is based on 413 high-temperature measurements of viscosity on 23 melt compositions for which published Raman spectra are available. The empirical model obviates the need for chemical measurement of glass compositions, thereby, providing new opportunities for tracking physical and thermochemical properties of melts during igneous processes (e.g., differentiation, mixing, assimilation). Furthermore, our model serves as a milepost for the future use of Raman spectral data for predicting transport (and calorimetric) properties of natural melts at geological conditions (e.g., volatiles and pressure) and production. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:202 / 212
页数:11
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