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Monitoring gases from andesite volcanoes

Authors: Peter Francis; Lisa Horrocks; Clive Oppenheimer;

Monitoring gases from andesite volcanoes

Abstract

Monitoring gases from andesite volcanoes for hazard mitigation or scientific enquiry is complicated by the wide range of eruption styles. Monitoring is aimed at both measuring the rates of gas emission, and changes in their compositions. Direct sampling techniques are restricted to accessible vents, and are unsuitable for syn-eruption monitoring. Correlation spectroscopy is a simple and robust method for measuring emission rates of sulphur dioxide, but is subject to large errors. Open-path Fourier transform spectroscopy provides a remote method for determining plume gas compositions, but requires careful atmospheric radiative transfer modelling. Few andesite volcanoes have been consistently monitored. Published data show that there is no simple general model for volcano degassing: each volcano, and each eruption, presents separate problems, many of them arising from the evolving interaction between magmatic and hydrothermal systems during an episode of activity. Because of its lower solubility in magmas and conservative behaviour in hydrothermal systems, remote measurements of carbon dioxide proportions and emission rates would be extremely valuable for monitoring, but they remain difficult because of its high atmospheric concentration.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Average
Top 10%
Top 10%
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