Item talk:Q238339
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Bayesian estimation of magma supply, storage, and eruption rates using a multiphysical volcano model: K\u012blauea Volcano, 2000\u20132012", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70171437", "url": "https://pubs.usgs.gov/publication/70171437" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70171437 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1016/j.epsl.2016.04.029", "url": "https://doi.org/10.1016/j.epsl.2016.04.029" } ], "journal": { "@type": "Periodical", "name": "Earth and Planetary Science Letters", "volumeNumber": "447", "issueNumber": null }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Earth and Planetary Science Letters" } ], "datePublished": "2016", "dateModified": "2016-06-01", "abstract": "Estimating rates of magma supply to the world's volcanoes remains one of the most fundamental aims of volcanology. Yet, supply rates can be difficult to estimate even at well-monitored volcanoes, in part because observations are noisy and are usually considered independently rather than as part of a holistic system. In this work we demonstrate a technique for probabilistically estimating time-variable rates of magma supply to a volcano through probabilistic constraint on storage and eruption rates. This approach utilizes Bayesian joint inversion of diverse datasets using predictions from a multiphysical volcano model, and independent prior information derived from previous geophysical, geochemical, and geological studies. The solution to the inverse problem takes the form of a probability density function which takes into account uncertainties in observations and prior information, and which we sample using a Markov chain Monte Carlo algorithm. Applying the technique to K\u012blauea Volcano, we develop a model which relates magma flow rates with deformation of the volcano's surface, sulfur dioxide emission rates, lava flow field volumes, and composition of the volcano's basaltic magma. This model accounts for effects and processes mostly neglected in previous supply rate estimates at K\u012blauea, including magma compressibility, loss of sulfur to the hydrothermal system, and potential magma storage in the volcano's deep rift zones. We jointly invert data and prior information to estimate rates of supply, storage, and eruption during three recent quasi-steady-state periods at the volcano. Results shed new light on the time-variability of magma supply to K\u012blauea, which we find to have increased by 35\u2013100% between 2001 and 2006 (from 0.11\u20130.17 to 0.18\u20130.28 km3/yr), before subsequently decreasing to 0.08\u20130.12 km3/yr by 2012. Changes in supply rate directly impact hazard at the volcano, and were largely responsible for an increase in eruption rate of 60\u2013150% between 2001 and 2006, and subsequent decline by as much as 60% by 2012. We also demonstrate the occurrence of temporal changes in the proportion of K\u012blauea's magma supply that is stored versus erupted, with the supply \u201csurge\u201d in 2006 associated with increased accumulation of magma at the summit. Finally, we are able to place some constraints on sulfur concentrations in K\u012blauea magma and the scrubbing of sulfur by the volcano's hydrothermal system. Multiphysical, Bayesian constraint on magma flow rates may be used to monitor evolving volcanic hazard not just at K\u012blauea but at other volcanoes around the world.", "description": "11 p.", "publisher": { "@type": "Organization", "name": "Elsevier" }, "author": [ { "@type": "Person", "name": "Anderson, Kyle R. kranderson@usgs.gov", "givenName": "Kyle R.", "familyName": "Anderson", "email": "kranderson@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0001-8041-3996", "url": "https://orcid.org/0000-0001-8041-3996" }, "affiliation": [ { "@type": "Organization", "name": "Volcano Science Center", "url": "https://www.usgs.gov/centers/volcano-science-center" } ] }, { "@type": "Person", "name": "Poland, Michael P. mpoland@usgs.gov", "givenName": "Michael P.", "familyName": "Poland", "email": "mpoland@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0001-5240-6123", "url": 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