The need to model the Yellowstone magma chamber and other possible sites for ignimbrite eruption has been accelerated by the development of the areas surrounding the volcanoes. Early detection of eruptions is the most important aspect when trying to reduce casualties from an eruption. The magma chamber at Yellowstone has been mapped previously using Seismic data and other methods, but more information is needed to predict the next eruptive event.
Through the use of previous research by Dr. de Silva and Dr. Gosnold, it is possible to create a representative model for the magma chamber. The model is created using a combination of ARC, Surfer, and Voxler. Using these programs and pre-existing geothermal data, the relation between the brittle-ductile zone and the magma chamber can be modelled. Through this relatively new method, it will hopefully be possible to put a timetable on the next major eruptive event.
","abstract_html":"<p>The need to model the Yellowstone magma chamber and other possible sites for ignimbrite eruption has been accelerated by the development of the areas surrounding the volcanoes. Early detection of eruptions is the most important aspect when trying to reduce casualties from an eruption. The magma chamber at Yellowstone has been mapped previously using Seismic data and other methods, but more information is needed to predict the next eruptive event.</p> <p>Through the use of previous research by Dr. de Silva and Dr. Gosnold, it is possible to create a representative model for the magma chamber. The model is created using a combination of ARC, Surfer, and Voxler. Using these programs and pre-existing geothermal data, the relation between the brittle-ductile zone and the magma chamber can be modelled. Through this relatively new method, it will hopefully be possible to put a timetable on the next major eruptive event.</p>","abstract_has_math":false,"creators":["Sandven, John Eric"],"institution":null,"degree_name":"Bachelor of Science (BS)","degree_level":"Thesis","degree_discipline":"Geology","degree_department":null,"school":null,"contributors":["Dr. William Gosnold"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-01-01T08:00:00Z","date_published":"2016-01-01T08:00:00Z","updated_at":"2026-07-24T03:25:06Z","subjects":[],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.und.edu/senior-projects/118","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dr. William Gosnold"]},{"key":"dc:creator","label":"Author","values":["Sandven, John Eric"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Geology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Bachelor of Science (BS)"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://commons.und.edu/senior-projects/118"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The need to model the Yellowstone magma chamber and other possible sites for ignimbrite eruption has been accelerated by the development of the areas surrounding the volcanoes. Early detection of eruptions is the most important aspect when trying to reduce casualties from an eruption. The magma chamber at Yellowstone has been mapped previously using Seismic data and other methods, but more information is needed to predict the next eruptive event.
Through the use of previous research by Dr. de Silva and Dr. Gosnold, it is possible to create a representative model for the magma chamber. The model is created using a combination of ARC, Surfer, and Voxler. Using these programs and pre-existing geothermal data, the relation between the brittle-ductile zone and the magma chamber can be modelled. Through this relatively new method, it will hopefully be possible to put a timetable on the next major eruptive event.
"]},{"key":"dc:title","label":"Title","values":["3D and 4D Modeling of Ignimbrite Eruptions"]}]}],"canonical_facts":{"dc:contributor":["Dr. William Gosnold"],"dc:creator":["Sandven, John Eric"],"dc:description.abstract":["The need to model the Yellowstone magma chamber and other possible sites for ignimbrite eruption has been accelerated by the development of the areas surrounding the volcanoes. Early detection of eruptions is the most important aspect when trying to reduce casualties from an eruption. The magma chamber at Yellowstone has been mapped previously using Seismic data and other methods, but more information is needed to predict the next eruptive event.
Through the use of previous research by Dr. de Silva and Dr. Gosnold, it is possible to create a representative model for the magma chamber. The model is created using a combination of ARC, Surfer, and Voxler. Using these programs and pre-existing geothermal data, the relation between the brittle-ductile zone and the magma chamber can be modelled. Through this relatively new method, it will hopefully be possible to put a timetable on the next major eruptive event.
"],"dc:identifier":["https://commons.und.edu/senior-projects/118"],"dc:title":["3D and 4D Modeling of Ignimbrite Eruptions"],"thesis:degree_discipline":["Geology"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Bachelor of Science (BS)"]},"updated_at":"2026-07-24T03:25:06Z"}