Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/153455
Title: | Statistical analysis of crystal populations and links to volcano deformation for more robust estimates of magma replenishment volumes | Authors: | Cheng, Lilu Costa, Fidel |
Keywords: | Science::Geology | Issue Date: | 2019 | Source: | Cheng, L. & Costa, F. (2019). Statistical analysis of crystal populations and links to volcano deformation for more robust estimates of magma replenishment volumes. Geology, 47(12), 1171-1175. https://dx.doi.org/10.1130/G46826.1 | Project: | NRF-NRFI2017-06 | Journal: | Geology | Abstract: | Forecasting the timing and size of volcanic eruptions requires a proper interpretation of multiparametric monitoring signals. Studies of the erupted rocks can provide critical information on the processes and volcano plumbing system that is needed to decode the monitoring signals. Here we present the results of a petrological study of plagioclase phenocrysts using a new statistical approach that allows us to estimate the amount of intruded magma before eruption. Our crystal population analysis of the 2006 and 2010 CE Merapi volcano (Indonesia) eruptions shows that ~60 ± 20 vol% of the 2010 magma was left over from the 2006 magma, and thus ~40 ± 20 vol% was newly intruded magma. Using the published values of the 2010 erupted magma volume, this corresponds to >8 to 20 (±7) x 106 m3 of new magma. This is a minimum estimate and is similar to the inferred pre-eruptive deformation volume (18 x 106 m3), although given the uncertainties, several million cubic meters of magma intruded in 2010 could still be in the Merapi plumbing system. Our approach could be used at other volcanoes to quantify the volume of intruded magma and thus help in better understanding the unrest signals that anticipate eruptions. | URI: | https://hdl.handle.net/10356/153455 | ISSN: | 0091-7613 | DOI: | 10.1130/G46826.1 | DOI (Related Dataset): | 10.21979/N9/TEGP3K | Rights: | © 2019 The Authors. Gold Open Access: This paper is published under the terms of the CC-BY license. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | ASE Journal Articles EOS Journal Articles |
SCOPUSTM
Citations
20
4
Updated on Dec 27, 2021
PublonsTM
Citations
20
4
Updated on Dec 27, 2021
Page view(s)
38
Updated on May 21, 2022
Download(s)
5
Updated on May 21, 2022
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.