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Understanding the connectivity and migration of shallow magma

Lead Research Organisation: University of Leeds
Department Name: School of Earth and Environment

Abstract

Volcanic eruptions present risks to human life and welfare, especially in rapidly growing urban areas. Detecting the rhythms and cycles of magma movement beneath a volcano is crucial to understanding their future behaviour.

Magma - the molten rock that builds the Earth's crust and feeds volcanoes - spends most of its existence as part of a 'mush' zone under the surface, comprising a complicated mixture of crystals, liquid molten rock and volcanic gases. We know from investigating patterns in the texture and composition of volcanic rocks, that fluids can move through mushes, especially in the periods before and during eruptions. This process is important because it allows the accumulation of the type of mobile magma that reaches the Earth's surface during eruptions. However, we do not know exactly what effects this movement produces at the Earth's surface where we are best positioned to detect them.

Measuring tiny movements of the Earth's surface is an important way of assessing how active a volcano is, and is widely used by volcano observatories to forecast eruptions. My research uses satellite data to make these measurements over very large areas. A particularly exciting aspect of this is that I can make displacement measurements globally and in poor and inaccessible regions where there is no or limited instrumentation installed on the ground. I and my colleagues have found an increasing number of examples of subsidence (caused by volume loss under the surface) and uplift (volume gain) occurring within a short time interval, but at a distance of many kilometres apart. These observations provide unique pieces of information about the time and distance over which magma travels underground that I will use to develop new models for interpreting displacement measurements. I will use these models to determine what displacements measured from satellites look like when magma is accumulating before a volcanic eruption.

Planned Impact

This project contributes to the long-term goal of increasing resilience to volcanic hazard in cities at risk from volcanic eruptions. I will achieve this by developing a framework for better interpretation of surface displacements in terms of magmatic processes that can be incorporated into decision-making. The ultimate beneficiaries of developing these approaches will be people living in areas with high levels of volcanic hazard and high risk of volcanic impacts. To achieve this, the direct impact of this work must be with the organisations responsible for volcano monitoring and hazard assessment: volcano observatories, civil protection and local authorities.

Context: There are an estimated 800 million people who today live within 100km radius of a volcano with potential for eruption. A large proportion of these people live in low to middle income countries with increased vulnerability to such geohazards. Volcanic hazards cause loss of life and livelihood, and present barriers to development including displaced populations, environmental damage, disrupted business and infrastructure. The uncertainty associated with long duration volcanic unrest also prevents investment. Forecasting the occurrence and characteristics of volcanic eruptions is essential for mitigating societal and economic impacts.

My contribution: My proposal will transform the way we interpret displacement measurements at volcanoes. This will result in more physically realistic assessments of eruptible magma in the shallow crust, and an improved understanding of which magmatic processes are detectable and useful for forecasting. Satellite data provide a powerful, lower cost and safer alternative to building and maintaining ground-based monitoring networks. Specific impacts will involve:

- Volcano observatory staff. A primary outcome of my fellowship proposal will be the practical improvement to the interpretation of monitoring data, which will have an impact on volcano monitoring practise, including in poorer countries where investment in geophysical monitoring has historically been low. In the short term the immediate beneficiaries of my proposal will be the scientists at monitoring organisations associated with my case study areas, including in New Zealand (GNS), Ecuador (Instituto Geofisico), Ethiopia (University of Addis Ababa) and Papua New Guinea (Rabaul Volcano Observatory). In the longer term, the framework for interpreting volcanic deformation produced during this fellowship will provide benefits to a wider range of monitoring organisations around the world.

- Civil protection and Disaster Risk Reduction practitioners. Advances in monitoring methodology and data interpretation at volcano observatories have a secondary impact on decision makers with responsibilities for mitigating hazard and risk. My research has the potential to provide improved interpretations in particular of volcanoes that deformation continuously or episodically during unrest.

Publications

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EspĂ­n BedĂłn P (2024) Co-eruptive, endogenous edifice growth, uplift during 4 years of eruption at Sangay Volcano, Ecuador in Journal of Volcanology and Geothermal Research

 
Description (DEEPVOLC) - Forecasting volcanic activity using deep learning
Amount € 1,999,495 (EUR)
Funding ID 866085 
Organisation European Commission 
Sector Public
Country Belgium
Start 05/2020 
End 05/2025
 
Description GCRF Urban Disaster Risk Hub
Amount ÂŁ17,657,279 (GBP)
Funding ID NE/S009000/1 
Organisation Natural Environment Research Council 
Sector Public
Country United Kingdom
Start 02/2019 
End 05/2024
 
Description Making Satellite Volcano Deformation Analysis Accessible
Amount ÂŁ127,312 (GBP)
Funding ID NE/S013970/1 
Organisation Natural Environment Research Council 
Sector Public
Country United Kingdom
Start 03/2019 
End 08/2021
 
Description Volcanic eruption dynamics from new commercial satellite constellations
Amount ÂŁ20,000 (GBP)
Funding ID RGS\R2\212413 
Organisation The Royal Society 
Sector Charity/Non Profit
Country United Kingdom
Start 02/2022 
End 02/2023
 
Title Magmatic Connectivity among Six Galápagos Volcanoes Revealed by Satellite Geodesy 
Description Accompanying data and codes for Reddin et al., MATLAB and Python based codes detailing the analysis carried out in this manuscript, using the provided data. 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/Magmatic_Connectivity_among_Six_Gal_pagos_Volca...
 
Title Nearly three centuries of Lava Flow Subsidence at1 Timanfaya, Lanzarote 
Description The following datasets are available for each InSAR dataset - Envisat and Sentinel-1, covering the island of Lanzarote between 2004/01/17 -2010/01/30 and 2016/09/14-2020/06/25 respectively: Line of Sight (LOS) velocities LOS velocity standard deviations LOS displacement time series Vertical velocities Vertical velocity standard deviations East-West velocities East-West velocity standard deviations The velocities and standard deviations are all geocoded (latitude/longitude in decimal degrees) geotiff files in mm/yr at 90 m resolution for Envisat and 30 m resolution for Sentinel-1. Negative values in the LOS data represent movement away from the satellite; in the vertical data represent subsidence; and in the East-West data represent westward movement. The velocities were calculated from the displacement time series as a least squares inversion and the standard deviations were calculated within LiCSBAS using a percentile bootstrap method. The Sentinel-1 time series is given as a 3D matrix (lon x lat x dates) within a .h5 file where each slice is the cumulative displacement (mm) in a lon lat grid format for each epoch date. The latitude and longitude are then given as separate vectors within the .h5 file. The Envisat time series is given as a .dat file where the first two columns are longitude and latitude. The remaining columns are the cumulative displacement (mm) for each epoch date. The epoch dates for both are given as separate text files and are given in the format YYYYMMDD. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://zenodo.org/record/6620524
 
Title Nearly three centuries of Lava Flow Subsidence at1 Timanfaya, Lanzarote 
Description The following datasets are available for each InSAR dataset - Envisat and Sentinel-1, covering the island of Lanzarote between 2004/01/17 -2010/01/30 and 2016/09/14-2020/06/25 respectively: Line of Sight (LOS) velocities LOS velocity standard deviations LOS displacement time series Vertical velocities Vertical velocity standard deviations East-West velocities East-West velocity standard deviations The velocities and standard deviations are all geocoded (latitude/longitude in decimal degrees) geotiff files in mm/yr at 90 m resolution for Envisat and 30 m resolution for Sentinel-1. Negative values in the LOS data represent movement away from the satellite; in the vertical data represent subsidence; and in the East-West data represent westward movement. The velocities were calculated from the displacement time series as a least squares inversion and the standard deviations were calculated within LiCSBAS using a percentile bootstrap method. The Sentinel-1 time series is given as a 3D matrix (lon x lat x dates) within a .h5 file where each slice is the cumulative displacement (mm) in a lon lat grid format for each epoch date. The latitude and longitude are then given as separate vectors within the .h5 file. The Envisat time series is given as a .dat file where the first two columns are longitude and latitude. The remaining columns are the cumulative displacement (mm) for each epoch date. The epoch dates for both are given as separate text files and are given in the format YYYYMMDD. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://zenodo.org/record/6620523
 
Description Instituto Geofisico collaboration 
Organisation Instituto Geofísico de la Escuela Politécnica Nacional
Country Ecuador 
Sector Academic/University 
PI Contribution • Supervision of PhD student at IG • Provision of advice about interpretation of satellite radar imagery
Collaborator Contribution • expertise on Ecuadorian volcanoes • local and expert support of PhD student
Impact Disciplines involved are volcanology and geodesy.
Start Year 2019