{"title":"Separating Magmatic and Hydrothermal Deformation Using InSAR Timeseries: Independent Component Analysis at Corbetti Caldera, Ethiopia","authors":"E. W. Dualeh, J. Biggs","doi":"10.1029/2024JB030974","DOIUrl":null,"url":null,"abstract":"<p>The cause of unrest at large quaternary silicic calderas, specifically whether the source is magmatic or hydrothermal, has critical implications for the potential eruptive hazard and is debated, even at well-studied systems. Recent advances in Interferometric Synthetic Aperture Radar (InSAR), driven by the Sentinel-1 mission, allow us to examine the spatial and temporal patterns of deformation in unprecedented detail. Here, we apply spatial Independent Component Analysis (sICA) to separate the contribution of magmatic and hydrothermal processes to deformation based on their distinct spatial and temporal characteristics. We use Corbetti Caldera, Ethiopia as an example. The hydrothermal system here is known to be laterally bound by a major rift-perpendicular structure, which means deformation associated with the hydrothermal system has a distinctly different spatial pattern to that of the underlying magmatic source. The sICA is able to separate two spatially distinct deformation signals associated with (a) the shallow magmatic system with constant uplift at a rate of <span></span><math>\n <semantics>\n <mrow>\n <mo>∼</mo>\n </mrow>\n <annotation> ${\\sim} $</annotation>\n </semantics></math>5.1 cm/yr in the satellite line-of-sight and (b) a laterally bound hydrothermal system that includes a strong seasonal signal with a magnitude of 0.65 cm. Although a magmatic source modeled using a Mogi point source fits the original data well, a two-source inversion improves the model quality. As debates regarding the source of unrest at silicic systems continue, we demonstrated the potential of new data sets and machine learning techniques to isolate contributions of magmatic and non-magmatic processed to surface deformation when they have distinct spatial and temporal patterns, which can have important implications for interpretation and consequently hazard forecasts.</p>","PeriodicalId":15864,"journal":{"name":"Journal of Geophysical Research: Solid Earth","volume":"130 4","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024JB030974","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Geophysical Research: Solid Earth","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2024JB030974","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
The cause of unrest at large quaternary silicic calderas, specifically whether the source is magmatic or hydrothermal, has critical implications for the potential eruptive hazard and is debated, even at well-studied systems. Recent advances in Interferometric Synthetic Aperture Radar (InSAR), driven by the Sentinel-1 mission, allow us to examine the spatial and temporal patterns of deformation in unprecedented detail. Here, we apply spatial Independent Component Analysis (sICA) to separate the contribution of magmatic and hydrothermal processes to deformation based on their distinct spatial and temporal characteristics. We use Corbetti Caldera, Ethiopia as an example. The hydrothermal system here is known to be laterally bound by a major rift-perpendicular structure, which means deformation associated with the hydrothermal system has a distinctly different spatial pattern to that of the underlying magmatic source. The sICA is able to separate two spatially distinct deformation signals associated with (a) the shallow magmatic system with constant uplift at a rate of 5.1 cm/yr in the satellite line-of-sight and (b) a laterally bound hydrothermal system that includes a strong seasonal signal with a magnitude of 0.65 cm. Although a magmatic source modeled using a Mogi point source fits the original data well, a two-source inversion improves the model quality. As debates regarding the source of unrest at silicic systems continue, we demonstrated the potential of new data sets and machine learning techniques to isolate contributions of magmatic and non-magmatic processed to surface deformation when they have distinct spatial and temporal patterns, which can have important implications for interpretation and consequently hazard forecasts.
期刊介绍:
The Journal of Geophysical Research: Solid Earth serves as the premier publication for the breadth of solid Earth geophysics including (in alphabetical order): electromagnetic methods; exploration geophysics; geodesy and gravity; geodynamics, rheology, and plate kinematics; geomagnetism and paleomagnetism; hydrogeophysics; Instruments, techniques, and models; solid Earth interactions with the cryosphere, atmosphere, oceans, and climate; marine geology and geophysics; natural and anthropogenic hazards; near surface geophysics; petrology, geochemistry, and mineralogy; planet Earth physics and chemistry; rock mechanics and deformation; seismology; tectonophysics; and volcanology.
JGR: Solid Earth has long distinguished itself as the venue for publication of Research Articles backed solidly by data and as well as presenting theoretical and numerical developments with broad applications. Research Articles published in JGR: Solid Earth have had long-term impacts in their fields.
JGR: Solid Earth provides a venue for special issues and special themes based on conferences, workshops, and community initiatives. JGR: Solid Earth also publishes Commentaries on research and emerging trends in the field; these are commissioned by the editors, and suggestion are welcome.