Lava Volume from Remote Sensing Data: Comparisons with Reverse Petrological Approaches for Two Types of Effusive Eruption
Journal article, 2022

Five effusive eruptions of Piton de la Fournaise (La RĂ©union) are analyzed to investigate temporal trends of erupted mass and sulfur dioxide (SO2) emissions. Daily SO2 emissions are acquired from three ultraviolet (UV) satellite instruments (the Ozone Monitoring Instrument (OMI), the Ozone Mapping and Profiler Suite (OMPS), and the Tropospheric Monitoring Instrument (TROPOMI)) and an array of ground-based UV spectrometers (Network for Observation of Volcanic and Atmospheric Change (NOVAC)). Time-averaged lava discharge rates (TADRs) are obtained from two automatic satellite-based hot spot detection systems: MIROVA and MODVOLC. Assuming that the lava volumes measured in the field are accurate, the MIROVA system gave the best estimation of erupted volume among the methods investigated. We use a reverse petrological method to constrain pre-eruptive magmatic sulfur contents based on observed SO2 emissions and lava volumes. We also show that a direct petrological approach using SO2 data might be a viable alternative for TADR estimation during cloudy weather that compromises hot spot detection. In several eruptions we observed a terminal increase in TADR and SO2 emissions after initial emission of evolved degassed magma. We ascribe this to input of deeper, volatile-rich magma into the plumbing system towards the end of these eruptions. Furthermore, we find no evidence of volatile excess in the five eruptions studied, which were thus mostly fed by shallow degassed magma.

Ultraviolet

Effusion rate

Infrared

MODIS

Plumbing system

Sulfur dioxide

Piton de la Fournaise

OMI

Scanning DOAS

Author

Pauline Verdurme

Clermont Auvergne University

Simon Carn

Michigan Technological University

Andrew J.L. Harris

Clermont Auvergne University

D. Coppola

University of Turin

A. Di Muro

Institut de Physique du Globe de Paris

Paris Descartes University

Santiago Arellano

Chalmers, Space, Earth and Environment, Geoscience and Remote Sensing

L. Gurioli

Clermont Auvergne University

Remote Sensing

20724292 (eISSN)

Vol. 14 2 323

Subject Categories

Remote Sensing

Physical Geography

DOI

10.3390/rs14020323

More information

Latest update

1/27/2022