Hornby, Adrian J.; Ayris, Paul M.; Damby, David E.; Diplas, Spyridon; Eychenne, Julia; Kendrick, Jackie E.; Cimarelli, Corrado; Kueppers, Ulrich; Scheu, Bettina; Utley, James E. P.; Dingwell, Donald B. (2024): Nanoscale silicate melt textures determine volcanic ash surface chemistry. Nature Communications, 15 (1): 531. ISSN 2041-1723
Hornby et al. 2024 nanoscale textures NC.pdf
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Abstract
Explosive volcanic eruptions produce vast quantities of silicate ash, whose surfaces are subsequently altered during atmospheric transit. These altered surfaces mediate environmental interactions, including atmospheric ice nucleation, and toxic effects in biota. A lack of knowledge of the initial, pre-altered ash surface has required previous studies to assume that the ash surface composition created during magmatic fragmentation is equivalent to the bulk particle assemblage. Here we examine ash particles generated by controlled fragmentation of andesite and find that fragmentation generates ash particles with substantial differences in surface chemistry. We attribute this disparity to observations of nanoscale melt heterogeneities, in which Fe-rich nanophases in the magmatic melt deflect and blunt fractures, thereby focusing fracture propagation within aureoles of single-phase melt formed during diffusion-limited growth of crystals. In this manner, we argue that commonly observed pre-eruptive microtextures caused by disequilibrium crystallisation and/or melt unmixing can modify fracture propagation and generate primary discrepancies in ash surface chemistry, an essential consideration for understanding the cascading consequences of reactive ash surfaces in various environments.
Dokumententyp: | Artikel (LMU) |
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Organisationseinheit (Fakultäten): | 20 Geowissenschaften > Department für Geo- und Umweltwissenschaften > Mineralogie, Petrologie und Geochemie |
DFG-Fachsystematik der Wissenschaftsbereiche: | Naturwissenschaften |
Veröffentlichungsdatum: | 10. Apr 2024 12:25 |
Letzte Änderung: | 10. Apr 2024 12:25 |
URI: | https://oa-fund.ub.uni-muenchen.de/id/eprint/1090 |
DFG: | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 491502892 |