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Numerical Approaches to Modelling of Lava Dome Growth

Zeinalova, Natalya ORCID iD icon 1; Ismail-Zadeh, Alik ORCID iD icon 1; Tsepelev, Igor; Melnik, Oleg; Schilling, Frank 1
1 Institut für Angewandte Geowissenschaften (AGW), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Non-explosive volcanic eruptions can result in the formation of lava domes when highly viscous magmas extrude on the surface. To distinguish between different mechanisms during the evolution of lava domes, isothermal and non-isothermal numerical models were used to explore the processes behind the evolution of the internal structure and morphological shape. To model the lava dome growth, we assume that the lava behaves as a viscous fluid, and use the Navier-Stokes, continuity, and the heat equations, along with relevant initial and boundary conditions. Additionally, an advection equation is employed to describe the movement of the interface between air and lava. The lava viscosity depends on the melt viscosity and the volume fraction of crystals. The latter is determined from an evolutionary equation that describes simplified crystal growth kinetics of degassing-induced crystallization. Numerical modelling employs finite volume and volume of fluid methods. The models demonstrate how lava dome dynamics are influenced by crystallization, the radiative-convective heat transfer, and the rheological stiffening driven by cooling. If the lava viscosity mainly depends on the volume fraction of crystals (as in the isothermal case study), the lava dome grows upward initially and later advances horizontally. ... mehr


Zugehörige Institution(en) am KIT Institut für Angewandte Geowissenschaften (AGW)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2026
Sprache Englisch
Identifikator ISBN: 978-3-032-01279-1
ISSN: 2194-1009
KITopen-ID: 1000189450
Erschienen in Applications of Mathematics in Sciences, Engineering, and Economics – MathSEE Symposium, Karlsruhe, September 27–29, 2023. Ed.: A. Ott
Veranstaltung 2. MathSEE Symposium (2023), Karlsruhe, Deutschland, 27.09.2023 – 29.09.2023
Verlag Springer Nature Switzerland
Seiten 67–80
Serie Springer Proceedings in Mathematics & Statistics ; 515
Vorab online veröffentlicht am 02.01.2026
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