An empirical $ H_{2} $O solubility model for peralkaline rhyolitic melts
Abstract The $ H_{2} $O solubility in peralkaline haplogranitic melts has been experimentally determined as a function of pressure (27–200 MPa) and temperature (1123–1523 K). The compositions were based on $ Ab_{38} %$ Or_{34} %$ Qz_{28} $ (AOQ) with 4 and 8 wt% $ Na_{2} $O in excess. $ H_{2} $O sol...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Allabar, Anja [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Contributions to mineralogy and petrology - Berlin : Springer, 1947, 177(2022), 5 vom: 24. Apr. |
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| Übergeordnetes Werk: |
volume:177 ; year:2022 ; number:5 ; day:24 ; month:04 |
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| DOI / URN: |
10.1007/s00410-022-01915-8 |
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| Katalog-ID: |
SPR046830022 |
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| 520 | |a Abstract The $ H_{2} $O solubility in peralkaline haplogranitic melts has been experimentally determined as a function of pressure (27–200 MPa) and temperature (1123–1523 K). The compositions were based on $ Ab_{38} %$ Or_{34} %$ Qz_{28} $ (AOQ) with 4 and 8 wt% $ Na_{2} $O in excess. $ H_{2} $O solubility experiments were performed in an internally heated pressure vessel and quenched to glasses for analysis. For quantification of $ H_{2} $O contents in the glasses using FTIR analysis, the linear molar absorption coefficients as a function of $ Na_{2} $O excess with respect to AOQ composition were determined, as well as the glass densities as a function of $ H_{2} $O concentration. The $ H_{2} $O solubility increases with increasing pressure, decreasing temperature, and with increasing peralkalinity. A linear dependence between $ Na_{2} $O excess (wt%) and $ H_{2} $O solubility (wt%) was found. It has been previously shown that on a molar basis the different alkalis contribute similarly to the $ H_{2} $O solubility increase so that $ H_{2} $O solubility increases linearly with excess alkali (difference between mole fractions of alkalis and that of alumina). Thus, the dependence of $ H_{2} $O solubility on pressure, temperature and excess alkali obtained from the new data of this study allow a simple prediction of $ H_{2} $O solubility for peralkaline rhyolitic melts based on the excess alkali content. This new empirical model was tested with $ H_{2} $O solubility data from literature for peralkaline haplogranitic and natural peralkaline rhyolitic melt compositions, yielding good agreement (< 10% deviation) between predicted and observed $ H_{2} $O solubility, which is an improvement compared to previous models. The model can be applied to natural peralkaline rhyolitic melts that occur, e.g. on Pantelleria, Gran Canaria, or the East African Rift. | ||
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| 700 | 1 | |a Nowak, Marcus |4 aut | |
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10.1007/s00410-022-01915-8 doi (DE-627)SPR046830022 (SPR)s00410-022-01915-8-e DE-627 ger DE-627 rakwb eng Allabar, Anja verfasserin (orcid)0000-0003-2137-8590 aut An empirical $ H_{2} $O solubility model for peralkaline rhyolitic melts 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract The $ H_{2} $O solubility in peralkaline haplogranitic melts has been experimentally determined as a function of pressure (27–200 MPa) and temperature (1123–1523 K). The compositions were based on $ Ab_{38} %$ Or_{34} %$ Qz_{28} $ (AOQ) with 4 and 8 wt% $ Na_{2} $O in excess. $ H_{2} $O solubility experiments were performed in an internally heated pressure vessel and quenched to glasses for analysis. For quantification of $ H_{2} $O contents in the glasses using FTIR analysis, the linear molar absorption coefficients as a function of $ Na_{2} $O excess with respect to AOQ composition were determined, as well as the glass densities as a function of $ H_{2} $O concentration. The $ H_{2} $O solubility increases with increasing pressure, decreasing temperature, and with increasing peralkalinity. A linear dependence between $ Na_{2} $O excess (wt%) and $ H_{2} $O solubility (wt%) was found. It has been previously shown that on a molar basis the different alkalis contribute similarly to the $ H_{2} $O solubility increase so that $ H_{2} $O solubility increases linearly with excess alkali (difference between mole fractions of alkalis and that of alumina). Thus, the dependence of $ H_{2} $O solubility on pressure, temperature and excess alkali obtained from the new data of this study allow a simple prediction of $ H_{2} $O solubility for peralkaline rhyolitic melts based on the excess alkali content. This new empirical model was tested with $ H_{2} $O solubility data from literature for peralkaline haplogranitic and natural peralkaline rhyolitic melt compositions, yielding good agreement (< 10% deviation) between predicted and observed $ H_{2} $O solubility, which is an improvement compared to previous models. The model can be applied to natural peralkaline rhyolitic melts that occur, e.g. on Pantelleria, Gran Canaria, or the East African Rift. H (dpeaa)DE-He213 O solubility (dpeaa)DE-He213 Peralkaline melt (dpeaa)DE-He213 Solubility model (dpeaa)DE-He213 Silicate melt (dpeaa)DE-He213 Petri, Patricia L. (orcid)0000-0003-0687-1766 aut Eul, Dennis (orcid)0000-0002-2702-9407 aut Nowak, Marcus aut Enthalten in Contributions to mineralogy and petrology Berlin : Springer, 1947 177(2022), 5 vom: 24. Apr. (DE-627)25372208X (DE-600)1458979-5 1432-0967 nnns volume:177 year:2022 number:5 day:24 month:04 https://dx.doi.org/10.1007/s00410-022-01915-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 177 2022 5 24 04 |
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10.1007/s00410-022-01915-8 doi (DE-627)SPR046830022 (SPR)s00410-022-01915-8-e DE-627 ger DE-627 rakwb eng Allabar, Anja verfasserin (orcid)0000-0003-2137-8590 aut An empirical $ H_{2} $O solubility model for peralkaline rhyolitic melts 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract The $ H_{2} $O solubility in peralkaline haplogranitic melts has been experimentally determined as a function of pressure (27–200 MPa) and temperature (1123–1523 K). The compositions were based on $ Ab_{38} %$ Or_{34} %$ Qz_{28} $ (AOQ) with 4 and 8 wt% $ Na_{2} $O in excess. $ H_{2} $O solubility experiments were performed in an internally heated pressure vessel and quenched to glasses for analysis. For quantification of $ H_{2} $O contents in the glasses using FTIR analysis, the linear molar absorption coefficients as a function of $ Na_{2} $O excess with respect to AOQ composition were determined, as well as the glass densities as a function of $ H_{2} $O concentration. The $ H_{2} $O solubility increases with increasing pressure, decreasing temperature, and with increasing peralkalinity. A linear dependence between $ Na_{2} $O excess (wt%) and $ H_{2} $O solubility (wt%) was found. It has been previously shown that on a molar basis the different alkalis contribute similarly to the $ H_{2} $O solubility increase so that $ H_{2} $O solubility increases linearly with excess alkali (difference between mole fractions of alkalis and that of alumina). Thus, the dependence of $ H_{2} $O solubility on pressure, temperature and excess alkali obtained from the new data of this study allow a simple prediction of $ H_{2} $O solubility for peralkaline rhyolitic melts based on the excess alkali content. This new empirical model was tested with $ H_{2} $O solubility data from literature for peralkaline haplogranitic and natural peralkaline rhyolitic melt compositions, yielding good agreement (< 10% deviation) between predicted and observed $ H_{2} $O solubility, which is an improvement compared to previous models. The model can be applied to natural peralkaline rhyolitic melts that occur, e.g. on Pantelleria, Gran Canaria, or the East African Rift. H (dpeaa)DE-He213 O solubility (dpeaa)DE-He213 Peralkaline melt (dpeaa)DE-He213 Solubility model (dpeaa)DE-He213 Silicate melt (dpeaa)DE-He213 Petri, Patricia L. (orcid)0000-0003-0687-1766 aut Eul, Dennis (orcid)0000-0002-2702-9407 aut Nowak, Marcus aut Enthalten in Contributions to mineralogy and petrology Berlin : Springer, 1947 177(2022), 5 vom: 24. Apr. (DE-627)25372208X (DE-600)1458979-5 1432-0967 nnns volume:177 year:2022 number:5 day:24 month:04 https://dx.doi.org/10.1007/s00410-022-01915-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 177 2022 5 24 04 |
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10.1007/s00410-022-01915-8 doi (DE-627)SPR046830022 (SPR)s00410-022-01915-8-e DE-627 ger DE-627 rakwb eng Allabar, Anja verfasserin (orcid)0000-0003-2137-8590 aut An empirical $ H_{2} $O solubility model for peralkaline rhyolitic melts 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract The $ H_{2} $O solubility in peralkaline haplogranitic melts has been experimentally determined as a function of pressure (27–200 MPa) and temperature (1123–1523 K). The compositions were based on $ Ab_{38} %$ Or_{34} %$ Qz_{28} $ (AOQ) with 4 and 8 wt% $ Na_{2} $O in excess. $ H_{2} $O solubility experiments were performed in an internally heated pressure vessel and quenched to glasses for analysis. For quantification of $ H_{2} $O contents in the glasses using FTIR analysis, the linear molar absorption coefficients as a function of $ Na_{2} $O excess with respect to AOQ composition were determined, as well as the glass densities as a function of $ H_{2} $O concentration. The $ H_{2} $O solubility increases with increasing pressure, decreasing temperature, and with increasing peralkalinity. A linear dependence between $ Na_{2} $O excess (wt%) and $ H_{2} $O solubility (wt%) was found. It has been previously shown that on a molar basis the different alkalis contribute similarly to the $ H_{2} $O solubility increase so that $ H_{2} $O solubility increases linearly with excess alkali (difference between mole fractions of alkalis and that of alumina). Thus, the dependence of $ H_{2} $O solubility on pressure, temperature and excess alkali obtained from the new data of this study allow a simple prediction of $ H_{2} $O solubility for peralkaline rhyolitic melts based on the excess alkali content. This new empirical model was tested with $ H_{2} $O solubility data from literature for peralkaline haplogranitic and natural peralkaline rhyolitic melt compositions, yielding good agreement (< 10% deviation) between predicted and observed $ H_{2} $O solubility, which is an improvement compared to previous models. The model can be applied to natural peralkaline rhyolitic melts that occur, e.g. on Pantelleria, Gran Canaria, or the East African Rift. H (dpeaa)DE-He213 O solubility (dpeaa)DE-He213 Peralkaline melt (dpeaa)DE-He213 Solubility model (dpeaa)DE-He213 Silicate melt (dpeaa)DE-He213 Petri, Patricia L. (orcid)0000-0003-0687-1766 aut Eul, Dennis (orcid)0000-0002-2702-9407 aut Nowak, Marcus aut Enthalten in Contributions to mineralogy and petrology Berlin : Springer, 1947 177(2022), 5 vom: 24. Apr. (DE-627)25372208X (DE-600)1458979-5 1432-0967 nnns volume:177 year:2022 number:5 day:24 month:04 https://dx.doi.org/10.1007/s00410-022-01915-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 177 2022 5 24 04 |
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10.1007/s00410-022-01915-8 doi (DE-627)SPR046830022 (SPR)s00410-022-01915-8-e DE-627 ger DE-627 rakwb eng Allabar, Anja verfasserin (orcid)0000-0003-2137-8590 aut An empirical $ H_{2} $O solubility model for peralkaline rhyolitic melts 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract The $ H_{2} $O solubility in peralkaline haplogranitic melts has been experimentally determined as a function of pressure (27–200 MPa) and temperature (1123–1523 K). The compositions were based on $ Ab_{38} %$ Or_{34} %$ Qz_{28} $ (AOQ) with 4 and 8 wt% $ Na_{2} $O in excess. $ H_{2} $O solubility experiments were performed in an internally heated pressure vessel and quenched to glasses for analysis. For quantification of $ H_{2} $O contents in the glasses using FTIR analysis, the linear molar absorption coefficients as a function of $ Na_{2} $O excess with respect to AOQ composition were determined, as well as the glass densities as a function of $ H_{2} $O concentration. The $ H_{2} $O solubility increases with increasing pressure, decreasing temperature, and with increasing peralkalinity. A linear dependence between $ Na_{2} $O excess (wt%) and $ H_{2} $O solubility (wt%) was found. It has been previously shown that on a molar basis the different alkalis contribute similarly to the $ H_{2} $O solubility increase so that $ H_{2} $O solubility increases linearly with excess alkali (difference between mole fractions of alkalis and that of alumina). Thus, the dependence of $ H_{2} $O solubility on pressure, temperature and excess alkali obtained from the new data of this study allow a simple prediction of $ H_{2} $O solubility for peralkaline rhyolitic melts based on the excess alkali content. This new empirical model was tested with $ H_{2} $O solubility data from literature for peralkaline haplogranitic and natural peralkaline rhyolitic melt compositions, yielding good agreement (< 10% deviation) between predicted and observed $ H_{2} $O solubility, which is an improvement compared to previous models. The model can be applied to natural peralkaline rhyolitic melts that occur, e.g. on Pantelleria, Gran Canaria, or the East African Rift. H (dpeaa)DE-He213 O solubility (dpeaa)DE-He213 Peralkaline melt (dpeaa)DE-He213 Solubility model (dpeaa)DE-He213 Silicate melt (dpeaa)DE-He213 Petri, Patricia L. (orcid)0000-0003-0687-1766 aut Eul, Dennis (orcid)0000-0002-2702-9407 aut Nowak, Marcus aut Enthalten in Contributions to mineralogy and petrology Berlin : Springer, 1947 177(2022), 5 vom: 24. Apr. (DE-627)25372208X (DE-600)1458979-5 1432-0967 nnns volume:177 year:2022 number:5 day:24 month:04 https://dx.doi.org/10.1007/s00410-022-01915-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 177 2022 5 24 04 |
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10.1007/s00410-022-01915-8 doi (DE-627)SPR046830022 (SPR)s00410-022-01915-8-e DE-627 ger DE-627 rakwb eng Allabar, Anja verfasserin (orcid)0000-0003-2137-8590 aut An empirical $ H_{2} $O solubility model for peralkaline rhyolitic melts 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract The $ H_{2} $O solubility in peralkaline haplogranitic melts has been experimentally determined as a function of pressure (27–200 MPa) and temperature (1123–1523 K). The compositions were based on $ Ab_{38} %$ Or_{34} %$ Qz_{28} $ (AOQ) with 4 and 8 wt% $ Na_{2} $O in excess. $ H_{2} $O solubility experiments were performed in an internally heated pressure vessel and quenched to glasses for analysis. For quantification of $ H_{2} $O contents in the glasses using FTIR analysis, the linear molar absorption coefficients as a function of $ Na_{2} $O excess with respect to AOQ composition were determined, as well as the glass densities as a function of $ H_{2} $O concentration. The $ H_{2} $O solubility increases with increasing pressure, decreasing temperature, and with increasing peralkalinity. A linear dependence between $ Na_{2} $O excess (wt%) and $ H_{2} $O solubility (wt%) was found. It has been previously shown that on a molar basis the different alkalis contribute similarly to the $ H_{2} $O solubility increase so that $ H_{2} $O solubility increases linearly with excess alkali (difference between mole fractions of alkalis and that of alumina). Thus, the dependence of $ H_{2} $O solubility on pressure, temperature and excess alkali obtained from the new data of this study allow a simple prediction of $ H_{2} $O solubility for peralkaline rhyolitic melts based on the excess alkali content. This new empirical model was tested with $ H_{2} $O solubility data from literature for peralkaline haplogranitic and natural peralkaline rhyolitic melt compositions, yielding good agreement (< 10% deviation) between predicted and observed $ H_{2} $O solubility, which is an improvement compared to previous models. The model can be applied to natural peralkaline rhyolitic melts that occur, e.g. on Pantelleria, Gran Canaria, or the East African Rift. H (dpeaa)DE-He213 O solubility (dpeaa)DE-He213 Peralkaline melt (dpeaa)DE-He213 Solubility model (dpeaa)DE-He213 Silicate melt (dpeaa)DE-He213 Petri, Patricia L. (orcid)0000-0003-0687-1766 aut Eul, Dennis (orcid)0000-0002-2702-9407 aut Nowak, Marcus aut Enthalten in Contributions to mineralogy and petrology Berlin : Springer, 1947 177(2022), 5 vom: 24. Apr. (DE-627)25372208X (DE-600)1458979-5 1432-0967 nnns volume:177 year:2022 number:5 day:24 month:04 https://dx.doi.org/10.1007/s00410-022-01915-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 177 2022 5 24 04 |
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Enthalten in Contributions to mineralogy and petrology 177(2022), 5 vom: 24. Apr. volume:177 year:2022 number:5 day:24 month:04 |
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Enthalten in Contributions to mineralogy and petrology 177(2022), 5 vom: 24. Apr. volume:177 year:2022 number:5 day:24 month:04 |
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H O solubility Peralkaline melt Solubility model Silicate melt |
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Allabar, Anja @@aut@@ Petri, Patricia L. @@aut@@ Eul, Dennis @@aut@@ Nowak, Marcus @@aut@@ |
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The compositions were based on $ Ab_{38} %$ Or_{34} %$ Qz_{28} $ (AOQ) with 4 and 8 wt% $ Na_{2} $O in excess. $ H_{2} $O solubility experiments were performed in an internally heated pressure vessel and quenched to glasses for analysis. For quantification of $ H_{2} $O contents in the glasses using FTIR analysis, the linear molar absorption coefficients as a function of $ Na_{2} $O excess with respect to AOQ composition were determined, as well as the glass densities as a function of $ H_{2} $O concentration. The $ H_{2} $O solubility increases with increasing pressure, decreasing temperature, and with increasing peralkalinity. A linear dependence between $ Na_{2} $O excess (wt%) and $ H_{2} $O solubility (wt%) was found. It has been previously shown that on a molar basis the different alkalis contribute similarly to the $ H_{2} $O solubility increase so that $ H_{2} $O solubility increases linearly with excess alkali (difference between mole fractions of alkalis and that of alumina). Thus, the dependence of $ H_{2} $O solubility on pressure, temperature and excess alkali obtained from the new data of this study allow a simple prediction of $ H_{2} $O solubility for peralkaline rhyolitic melts based on the excess alkali content. This new empirical model was tested with $ H_{2} $O solubility data from literature for peralkaline haplogranitic and natural peralkaline rhyolitic melt compositions, yielding good agreement (< 10% deviation) between predicted and observed $ H_{2} $O solubility, which is an improvement compared to previous models. 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Allabar, Anja |
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An empirical $ H_{2} $O solubility model for peralkaline rhyolitic melts H (dpeaa)DE-He213 O solubility (dpeaa)DE-He213 Peralkaline melt (dpeaa)DE-He213 Solubility model (dpeaa)DE-He213 Silicate melt (dpeaa)DE-He213 |
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An empirical $ H_{2} $O solubility model for peralkaline rhyolitic melts |
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An empirical $ H_{2} $O solubility model for peralkaline rhyolitic melts |
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empirical $ h_{2} $o solubility model for peralkaline rhyolitic melts |
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An empirical $ H_{2} $O solubility model for peralkaline rhyolitic melts |
| abstract |
Abstract The $ H_{2} $O solubility in peralkaline haplogranitic melts has been experimentally determined as a function of pressure (27–200 MPa) and temperature (1123–1523 K). The compositions were based on $ Ab_{38} %$ Or_{34} %$ Qz_{28} $ (AOQ) with 4 and 8 wt% $ Na_{2} $O in excess. $ H_{2} $O solubility experiments were performed in an internally heated pressure vessel and quenched to glasses for analysis. For quantification of $ H_{2} $O contents in the glasses using FTIR analysis, the linear molar absorption coefficients as a function of $ Na_{2} $O excess with respect to AOQ composition were determined, as well as the glass densities as a function of $ H_{2} $O concentration. The $ H_{2} $O solubility increases with increasing pressure, decreasing temperature, and with increasing peralkalinity. A linear dependence between $ Na_{2} $O excess (wt%) and $ H_{2} $O solubility (wt%) was found. It has been previously shown that on a molar basis the different alkalis contribute similarly to the $ H_{2} $O solubility increase so that $ H_{2} $O solubility increases linearly with excess alkali (difference between mole fractions of alkalis and that of alumina). Thus, the dependence of $ H_{2} $O solubility on pressure, temperature and excess alkali obtained from the new data of this study allow a simple prediction of $ H_{2} $O solubility for peralkaline rhyolitic melts based on the excess alkali content. This new empirical model was tested with $ H_{2} $O solubility data from literature for peralkaline haplogranitic and natural peralkaline rhyolitic melt compositions, yielding good agreement (< 10% deviation) between predicted and observed $ H_{2} $O solubility, which is an improvement compared to previous models. The model can be applied to natural peralkaline rhyolitic melts that occur, e.g. on Pantelleria, Gran Canaria, or the East African Rift. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
| abstractGer |
Abstract The $ H_{2} $O solubility in peralkaline haplogranitic melts has been experimentally determined as a function of pressure (27–200 MPa) and temperature (1123–1523 K). The compositions were based on $ Ab_{38} %$ Or_{34} %$ Qz_{28} $ (AOQ) with 4 and 8 wt% $ Na_{2} $O in excess. $ H_{2} $O solubility experiments were performed in an internally heated pressure vessel and quenched to glasses for analysis. For quantification of $ H_{2} $O contents in the glasses using FTIR analysis, the linear molar absorption coefficients as a function of $ Na_{2} $O excess with respect to AOQ composition were determined, as well as the glass densities as a function of $ H_{2} $O concentration. The $ H_{2} $O solubility increases with increasing pressure, decreasing temperature, and with increasing peralkalinity. A linear dependence between $ Na_{2} $O excess (wt%) and $ H_{2} $O solubility (wt%) was found. It has been previously shown that on a molar basis the different alkalis contribute similarly to the $ H_{2} $O solubility increase so that $ H_{2} $O solubility increases linearly with excess alkali (difference between mole fractions of alkalis and that of alumina). Thus, the dependence of $ H_{2} $O solubility on pressure, temperature and excess alkali obtained from the new data of this study allow a simple prediction of $ H_{2} $O solubility for peralkaline rhyolitic melts based on the excess alkali content. This new empirical model was tested with $ H_{2} $O solubility data from literature for peralkaline haplogranitic and natural peralkaline rhyolitic melt compositions, yielding good agreement (< 10% deviation) between predicted and observed $ H_{2} $O solubility, which is an improvement compared to previous models. The model can be applied to natural peralkaline rhyolitic melts that occur, e.g. on Pantelleria, Gran Canaria, or the East African Rift. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
| abstract_unstemmed |
Abstract The $ H_{2} $O solubility in peralkaline haplogranitic melts has been experimentally determined as a function of pressure (27–200 MPa) and temperature (1123–1523 K). The compositions were based on $ Ab_{38} %$ Or_{34} %$ Qz_{28} $ (AOQ) with 4 and 8 wt% $ Na_{2} $O in excess. $ H_{2} $O solubility experiments were performed in an internally heated pressure vessel and quenched to glasses for analysis. For quantification of $ H_{2} $O contents in the glasses using FTIR analysis, the linear molar absorption coefficients as a function of $ Na_{2} $O excess with respect to AOQ composition were determined, as well as the glass densities as a function of $ H_{2} $O concentration. The $ H_{2} $O solubility increases with increasing pressure, decreasing temperature, and with increasing peralkalinity. A linear dependence between $ Na_{2} $O excess (wt%) and $ H_{2} $O solubility (wt%) was found. It has been previously shown that on a molar basis the different alkalis contribute similarly to the $ H_{2} $O solubility increase so that $ H_{2} $O solubility increases linearly with excess alkali (difference between mole fractions of alkalis and that of alumina). Thus, the dependence of $ H_{2} $O solubility on pressure, temperature and excess alkali obtained from the new data of this study allow a simple prediction of $ H_{2} $O solubility for peralkaline rhyolitic melts based on the excess alkali content. This new empirical model was tested with $ H_{2} $O solubility data from literature for peralkaline haplogranitic and natural peralkaline rhyolitic melt compositions, yielding good agreement (< 10% deviation) between predicted and observed $ H_{2} $O solubility, which is an improvement compared to previous models. The model can be applied to natural peralkaline rhyolitic melts that occur, e.g. on Pantelleria, Gran Canaria, or the East African Rift. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
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5 |
| title_short |
An empirical $ H_{2} $O solubility model for peralkaline rhyolitic melts |
| url |
https://dx.doi.org/10.1007/s00410-022-01915-8 |
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Petri, Patricia L. Eul, Dennis Nowak, Marcus |
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| doi_str |
10.1007/s00410-022-01915-8 |
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2024-08-28T05:54:43.908Z |
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|
| score |
7.1705 |