Are volcanic melts less viscous than we thought? The case of Stromboli basalt
Abstract Melt viscosity is one of the most critical physical properties controlling magma transport dynamics and eruptive style. Although viscosity measurements are widely used to study and model the flow behavior of magmas, recent research has revealed that nanocrystallization of Fe–Ti-oxides can c...
Ausführliche Beschreibung
Autor*in: |
Valdivia, Pedro [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
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2023 |
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Systematik: |
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Anmerkung: |
© The Author(s) 2023 |
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Übergeordnetes Werk: |
Enthalten in: Contributions to mineralogy and petrology - Springer Berlin Heidelberg, 1966, 178(2023), 7 vom: 26. Juni |
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Übergeordnetes Werk: |
volume:178 ; year:2023 ; number:7 ; day:26 ; month:06 |
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DOI / URN: |
10.1007/s00410-023-02024-w |
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OLC2144104301 |
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520 | |a Abstract Melt viscosity is one of the most critical physical properties controlling magma transport dynamics and eruptive style. Although viscosity measurements are widely used to study and model the flow behavior of magmas, recent research has revealed that nanocrystallization of Fe–Ti-oxides can compromise the reliability of viscosity data. This phenomenon can occur during laboratory measurements around the glass transition temperature (Tg) and lead to the depletion of iron and titanium in the residual melt phase, with a significant increase in viscosity. Accurate viscosity measurements play a crucial role in determining the reliability of empirical models for magma viscosity, which are used to evaluate eruptive scenarios in hazardous areas. Here, we quantify the reliability of empirical models by elaborating a new viscosity model of Stromboli basalt that relies exclusively on viscosity data obtained from nanocrystal-free samples. We show that empirical models so far used to estimate melt viscosity at eruptive conditions overestimate Stromboli viscosity by a factor ranging between 2 and 5. In the context of numerical modelling of magmatic processes at Stromboli volcano, we analyse and interpret this finding. Based on our findings, we draw the conclusion that Stromboli basalt is anticipated to ascend from the storage area to the vent at a faster rate than previously hypothesized. | ||
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10.1007/s00410-023-02024-w doi (DE-627)OLC2144104301 (DE-He213)s00410-023-02024-w-p DE-627 ger DE-627 rakwb eng 550 VZ 13 ssgn TE 1000 VZ rvk Valdivia, Pedro verfasserin (orcid)0000-0001-7758-8998 aut Are volcanic melts less viscous than we thought? The case of Stromboli basalt 2023 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2023 Abstract Melt viscosity is one of the most critical physical properties controlling magma transport dynamics and eruptive style. Although viscosity measurements are widely used to study and model the flow behavior of magmas, recent research has revealed that nanocrystallization of Fe–Ti-oxides can compromise the reliability of viscosity data. This phenomenon can occur during laboratory measurements around the glass transition temperature (Tg) and lead to the depletion of iron and titanium in the residual melt phase, with a significant increase in viscosity. Accurate viscosity measurements play a crucial role in determining the reliability of empirical models for magma viscosity, which are used to evaluate eruptive scenarios in hazardous areas. Here, we quantify the reliability of empirical models by elaborating a new viscosity model of Stromboli basalt that relies exclusively on viscosity data obtained from nanocrystal-free samples. We show that empirical models so far used to estimate melt viscosity at eruptive conditions overestimate Stromboli viscosity by a factor ranging between 2 and 5. In the context of numerical modelling of magmatic processes at Stromboli volcano, we analyse and interpret this finding. Based on our findings, we draw the conclusion that Stromboli basalt is anticipated to ascend from the storage area to the vent at a faster rate than previously hypothesized. Stromboli Viscosity Nanolite Differential scanning calorimetry Brillouin spectroscopy Raman spectroscopy Zandonà, Alessio aut Kurnosov, Alexander aut Ballaran, Tiziana Boffa aut Deubener, Joachim aut Di Genova, Danilo aut Enthalten in Contributions to mineralogy and petrology Springer Berlin Heidelberg, 1966 178(2023), 7 vom: 26. Juni (DE-627)129068721 (DE-600)1616-0 (DE-576)014400367 0010-7999 nnns volume:178 year:2023 number:7 day:26 month:06 https://doi.org/10.1007/s00410-023-02024-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_2018 GBV_ILN_4277 TE 1000 AR 178 2023 7 26 06 |
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10.1007/s00410-023-02024-w doi (DE-627)OLC2144104301 (DE-He213)s00410-023-02024-w-p DE-627 ger DE-627 rakwb eng 550 VZ 13 ssgn TE 1000 VZ rvk Valdivia, Pedro verfasserin (orcid)0000-0001-7758-8998 aut Are volcanic melts less viscous than we thought? The case of Stromboli basalt 2023 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2023 Abstract Melt viscosity is one of the most critical physical properties controlling magma transport dynamics and eruptive style. Although viscosity measurements are widely used to study and model the flow behavior of magmas, recent research has revealed that nanocrystallization of Fe–Ti-oxides can compromise the reliability of viscosity data. This phenomenon can occur during laboratory measurements around the glass transition temperature (Tg) and lead to the depletion of iron and titanium in the residual melt phase, with a significant increase in viscosity. Accurate viscosity measurements play a crucial role in determining the reliability of empirical models for magma viscosity, which are used to evaluate eruptive scenarios in hazardous areas. Here, we quantify the reliability of empirical models by elaborating a new viscosity model of Stromboli basalt that relies exclusively on viscosity data obtained from nanocrystal-free samples. We show that empirical models so far used to estimate melt viscosity at eruptive conditions overestimate Stromboli viscosity by a factor ranging between 2 and 5. In the context of numerical modelling of magmatic processes at Stromboli volcano, we analyse and interpret this finding. Based on our findings, we draw the conclusion that Stromboli basalt is anticipated to ascend from the storage area to the vent at a faster rate than previously hypothesized. Stromboli Viscosity Nanolite Differential scanning calorimetry Brillouin spectroscopy Raman spectroscopy Zandonà, Alessio aut Kurnosov, Alexander aut Ballaran, Tiziana Boffa aut Deubener, Joachim aut Di Genova, Danilo aut Enthalten in Contributions to mineralogy and petrology Springer Berlin Heidelberg, 1966 178(2023), 7 vom: 26. Juni (DE-627)129068721 (DE-600)1616-0 (DE-576)014400367 0010-7999 nnns volume:178 year:2023 number:7 day:26 month:06 https://doi.org/10.1007/s00410-023-02024-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_2018 GBV_ILN_4277 TE 1000 AR 178 2023 7 26 06 |
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10.1007/s00410-023-02024-w doi (DE-627)OLC2144104301 (DE-He213)s00410-023-02024-w-p DE-627 ger DE-627 rakwb eng 550 VZ 13 ssgn TE 1000 VZ rvk Valdivia, Pedro verfasserin (orcid)0000-0001-7758-8998 aut Are volcanic melts less viscous than we thought? The case of Stromboli basalt 2023 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2023 Abstract Melt viscosity is one of the most critical physical properties controlling magma transport dynamics and eruptive style. Although viscosity measurements are widely used to study and model the flow behavior of magmas, recent research has revealed that nanocrystallization of Fe–Ti-oxides can compromise the reliability of viscosity data. This phenomenon can occur during laboratory measurements around the glass transition temperature (Tg) and lead to the depletion of iron and titanium in the residual melt phase, with a significant increase in viscosity. Accurate viscosity measurements play a crucial role in determining the reliability of empirical models for magma viscosity, which are used to evaluate eruptive scenarios in hazardous areas. Here, we quantify the reliability of empirical models by elaborating a new viscosity model of Stromboli basalt that relies exclusively on viscosity data obtained from nanocrystal-free samples. We show that empirical models so far used to estimate melt viscosity at eruptive conditions overestimate Stromboli viscosity by a factor ranging between 2 and 5. In the context of numerical modelling of magmatic processes at Stromboli volcano, we analyse and interpret this finding. Based on our findings, we draw the conclusion that Stromboli basalt is anticipated to ascend from the storage area to the vent at a faster rate than previously hypothesized. Stromboli Viscosity Nanolite Differential scanning calorimetry Brillouin spectroscopy Raman spectroscopy Zandonà, Alessio aut Kurnosov, Alexander aut Ballaran, Tiziana Boffa aut Deubener, Joachim aut Di Genova, Danilo aut Enthalten in Contributions to mineralogy and petrology Springer Berlin Heidelberg, 1966 178(2023), 7 vom: 26. Juni (DE-627)129068721 (DE-600)1616-0 (DE-576)014400367 0010-7999 nnns volume:178 year:2023 number:7 day:26 month:06 https://doi.org/10.1007/s00410-023-02024-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_2018 GBV_ILN_4277 TE 1000 AR 178 2023 7 26 06 |
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Valdivia, Pedro Zandonà, Alessio Kurnosov, Alexander Ballaran, Tiziana Boffa Deubener, Joachim Di Genova, Danilo |
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Valdivia, Pedro |
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are volcanic melts less viscous than we thought? the case of stromboli basalt |
title_auth |
Are volcanic melts less viscous than we thought? The case of Stromboli basalt |
abstract |
Abstract Melt viscosity is one of the most critical physical properties controlling magma transport dynamics and eruptive style. Although viscosity measurements are widely used to study and model the flow behavior of magmas, recent research has revealed that nanocrystallization of Fe–Ti-oxides can compromise the reliability of viscosity data. This phenomenon can occur during laboratory measurements around the glass transition temperature (Tg) and lead to the depletion of iron and titanium in the residual melt phase, with a significant increase in viscosity. Accurate viscosity measurements play a crucial role in determining the reliability of empirical models for magma viscosity, which are used to evaluate eruptive scenarios in hazardous areas. Here, we quantify the reliability of empirical models by elaborating a new viscosity model of Stromboli basalt that relies exclusively on viscosity data obtained from nanocrystal-free samples. We show that empirical models so far used to estimate melt viscosity at eruptive conditions overestimate Stromboli viscosity by a factor ranging between 2 and 5. In the context of numerical modelling of magmatic processes at Stromboli volcano, we analyse and interpret this finding. Based on our findings, we draw the conclusion that Stromboli basalt is anticipated to ascend from the storage area to the vent at a faster rate than previously hypothesized. © The Author(s) 2023 |
abstractGer |
Abstract Melt viscosity is one of the most critical physical properties controlling magma transport dynamics and eruptive style. Although viscosity measurements are widely used to study and model the flow behavior of magmas, recent research has revealed that nanocrystallization of Fe–Ti-oxides can compromise the reliability of viscosity data. This phenomenon can occur during laboratory measurements around the glass transition temperature (Tg) and lead to the depletion of iron and titanium in the residual melt phase, with a significant increase in viscosity. Accurate viscosity measurements play a crucial role in determining the reliability of empirical models for magma viscosity, which are used to evaluate eruptive scenarios in hazardous areas. Here, we quantify the reliability of empirical models by elaborating a new viscosity model of Stromboli basalt that relies exclusively on viscosity data obtained from nanocrystal-free samples. We show that empirical models so far used to estimate melt viscosity at eruptive conditions overestimate Stromboli viscosity by a factor ranging between 2 and 5. In the context of numerical modelling of magmatic processes at Stromboli volcano, we analyse and interpret this finding. Based on our findings, we draw the conclusion that Stromboli basalt is anticipated to ascend from the storage area to the vent at a faster rate than previously hypothesized. © The Author(s) 2023 |
abstract_unstemmed |
Abstract Melt viscosity is one of the most critical physical properties controlling magma transport dynamics and eruptive style. Although viscosity measurements are widely used to study and model the flow behavior of magmas, recent research has revealed that nanocrystallization of Fe–Ti-oxides can compromise the reliability of viscosity data. This phenomenon can occur during laboratory measurements around the glass transition temperature (Tg) and lead to the depletion of iron and titanium in the residual melt phase, with a significant increase in viscosity. Accurate viscosity measurements play a crucial role in determining the reliability of empirical models for magma viscosity, which are used to evaluate eruptive scenarios in hazardous areas. Here, we quantify the reliability of empirical models by elaborating a new viscosity model of Stromboli basalt that relies exclusively on viscosity data obtained from nanocrystal-free samples. We show that empirical models so far used to estimate melt viscosity at eruptive conditions overestimate Stromboli viscosity by a factor ranging between 2 and 5. In the context of numerical modelling of magmatic processes at Stromboli volcano, we analyse and interpret this finding. Based on our findings, we draw the conclusion that Stromboli basalt is anticipated to ascend from the storage area to the vent at a faster rate than previously hypothesized. © The Author(s) 2023 |
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Are volcanic melts less viscous than we thought? The case of Stromboli basalt |
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https://doi.org/10.1007/s00410-023-02024-w |
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Zandonà, Alessio Kurnosov, Alexander Ballaran, Tiziana Boffa Deubener, Joachim Di Genova, Danilo |
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Zandonà, Alessio Kurnosov, Alexander Ballaran, Tiziana Boffa Deubener, Joachim Di Genova, Danilo |
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