Using Conceptual Models to Relate Multiparameter Satellite Data to Subsurface Volcanic Processes in Latin America
Abstract Satellite data have been extensively used to identify volcanic behavior. However, the physical subsurface processes causing any individual manifestation of activity can be ambiguous. We propose a classification scheme for the cause of unrest that simultaneously considers three multiparamete...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Geochemistry, Geophysics, Geosystems |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2019GC008494 |
| _version_ | 1797638098887114752 |
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| author | K. Reath M. Pritchard J. Biggs B. Andrews S. K. Ebmeier M. Bagnardi T. Girona P. Lundgren T. Lopez M. Poland |
| author_facet | K. Reath M. Pritchard J. Biggs B. Andrews S. K. Ebmeier M. Bagnardi T. Girona P. Lundgren T. Lopez M. Poland |
| author_sort | K. Reath |
| collection | DOAJ |
| description | Abstract Satellite data have been extensively used to identify volcanic behavior. However, the physical subsurface processes causing any individual manifestation of activity can be ambiguous. We propose a classification scheme for the cause of unrest that simultaneously considers three multiparameter satellite observations. The scheme is based on characteristics of the volcanic system (open, closed, and eruptive) and unrest mechanisms (intrusion, evolution, and withdrawal) occurring at shallow depths in the volcanic system. We applied these models to satellite observations acquired at 47 of the most active volcanoes in Latin America. Of the volcanoes studied, 44 had a robust enough dataset for classification and were clustered into 4 groups and 10 subgroups with common behavioral characteristics. By identifying that these volcanoes can be clustered into a number of groupings significantly less than the number of volcanoes, we have demonstrated that commonalities in behavior patterns exist among diverse volcanic systems. Identifying volcanoes with similar characteristics underpins the use of past observations at one volcano to forecast activity at another and diverges from typical volcanic groupings, which are focused on geologic parameters (i.e., composition, volcano type, and tectonic setting). Based on satellite data alone, we have identified preeruptive intrusion prior to 15 eruptions at 12 different volcanoes, magma evolution prior to 18 eruptions at 13 volcanoes, and magma withdrawal at 3 eruptions and 3 volcanoes. Improvements to the spatial and temporal resolution are needed to make these relations robust. This classification scheme provides a framework for future automated clustering of volcanoes. |
| first_indexed | 2024-03-11T12:58:44Z |
| format | Article |
| id | doaj.art-9b614a44df634fbb9054109471a1c67b |
| institution | Directory Open Access Journal |
| issn | 1525-2027 |
| language | English |
| last_indexed | 2024-03-11T12:58:44Z |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geochemistry, Geophysics, Geosystems |
| spelling | doaj.art-9b614a44df634fbb9054109471a1c67b2023-11-03T16:55:54ZengWileyGeochemistry, Geophysics, Geosystems1525-20272020-01-01211n/an/a10.1029/2019GC008494Using Conceptual Models to Relate Multiparameter Satellite Data to Subsurface Volcanic Processes in Latin AmericaK. Reath0M. Pritchard1J. Biggs2B. Andrews3S. K. Ebmeier4M. Bagnardi5T. Girona6P. Lundgren7T. Lopez8M. Poland9Earth and Atmospheric Sciences Cornell University Ithaca NY USAEarth and Atmospheric Sciences Cornell University Ithaca NY USACOMET, School of Earth Sciences University of Bristol Bristol UKDepartment of Mineral Sciences Smithsonian Institution Washington DC USASchool of Earth and Environment University of Leeds Leeds UKJet Propulsion Laboratory California Institute of Technology Pasadena CA USAJet Propulsion Laboratory California Institute of Technology Pasadena CA USAJet Propulsion Laboratory California Institute of Technology Pasadena CA USAGeophysical Institute University of Alaska Fairbanks Fairbanks AK USACascades Volcano Observatory U.S. Geological Survey Vancouver WA USAAbstract Satellite data have been extensively used to identify volcanic behavior. However, the physical subsurface processes causing any individual manifestation of activity can be ambiguous. We propose a classification scheme for the cause of unrest that simultaneously considers three multiparameter satellite observations. The scheme is based on characteristics of the volcanic system (open, closed, and eruptive) and unrest mechanisms (intrusion, evolution, and withdrawal) occurring at shallow depths in the volcanic system. We applied these models to satellite observations acquired at 47 of the most active volcanoes in Latin America. Of the volcanoes studied, 44 had a robust enough dataset for classification and were clustered into 4 groups and 10 subgroups with common behavioral characteristics. By identifying that these volcanoes can be clustered into a number of groupings significantly less than the number of volcanoes, we have demonstrated that commonalities in behavior patterns exist among diverse volcanic systems. Identifying volcanoes with similar characteristics underpins the use of past observations at one volcano to forecast activity at another and diverges from typical volcanic groupings, which are focused on geologic parameters (i.e., composition, volcano type, and tectonic setting). Based on satellite data alone, we have identified preeruptive intrusion prior to 15 eruptions at 12 different volcanoes, magma evolution prior to 18 eruptions at 13 volcanoes, and magma withdrawal at 3 eruptions and 3 volcanoes. Improvements to the spatial and temporal resolution are needed to make these relations robust. This classification scheme provides a framework for future automated clustering of volcanoes.https://doi.org/10.1029/2019GC008494thermal infrared (TIR)volcano monitoringInSARsulfur dioxide (SO2)satellite remote sensingLatin America |
| spellingShingle | K. Reath M. Pritchard J. Biggs B. Andrews S. K. Ebmeier M. Bagnardi T. Girona P. Lundgren T. Lopez M. Poland Using Conceptual Models to Relate Multiparameter Satellite Data to Subsurface Volcanic Processes in Latin America Geochemistry, Geophysics, Geosystems thermal infrared (TIR) volcano monitoring InSAR sulfur dioxide (SO2) satellite remote sensing Latin America |
| title | Using Conceptual Models to Relate Multiparameter Satellite Data to Subsurface Volcanic Processes in Latin America |
| title_full | Using Conceptual Models to Relate Multiparameter Satellite Data to Subsurface Volcanic Processes in Latin America |
| title_fullStr | Using Conceptual Models to Relate Multiparameter Satellite Data to Subsurface Volcanic Processes in Latin America |
| title_full_unstemmed | Using Conceptual Models to Relate Multiparameter Satellite Data to Subsurface Volcanic Processes in Latin America |
| title_short | Using Conceptual Models to Relate Multiparameter Satellite Data to Subsurface Volcanic Processes in Latin America |
| title_sort | using conceptual models to relate multiparameter satellite data to subsurface volcanic processes in latin america |
| topic | thermal infrared (TIR) volcano monitoring InSAR sulfur dioxide (SO2) satellite remote sensing Latin America |
| url | https://doi.org/10.1029/2019GC008494 |
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