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DOI10.1016/j.epsl.2021.117055
The 2011-2019 Long Valley Caldera inflation: New insights from separation of superimposed geodetic signals and 3D modeling
Silverii F.; Pulvirenti F.; Montgomery-Brown E.K.; Borsa A.A.; Neely W.R.
发表日期2021
ISSN0012821X
卷号569
英文摘要Increasingly accurate, and spatio-temporally dense, measurements of Earth surface movements enable us to identify multiple deformation patterns and highlight the need to properly characterize the related source processes. This is particularly important in tectonically active areas, where deformation measurement is crucial for monitoring ongoing processes and assessing future hazard. Long Valley Caldera, California, USA, is a volcanic area where frequent episodes of unrest involve inflation and increased seismicity. Ground- and satellite-based instruments show that volcanic inflation renewed in 2011, and is continuing as of early 2021. Additionally, Long Valley Caldera is affected by the large, but spatially and temporally variable, amounts of precipitation falling on the adjacent Sierra Nevada Range. The density and long duration of deformation measurements at Long Valley Caldera provide an excellent collection of data to decompose time-series and separate multiple superimposed deformation sources. We analyze Global Navigation Satellite System (GNSS) time-series and apply variational Bayesian Independent Component Analysis (vbICA) decomposition method to isolate inflation-related signals from other processes. We show that hydrological forcing causes significant horizontal and vertical deformation at different temporal (seasonal and multiyear) and spatial (few to hundreds of km) scales that cannot be ignored while analyzing and modeling the tectonic signal. Focusing on the last inflation episode, we then improve on prior simplistic models of the inflation reservoir by including heterogeneous subsurface material properties and topography. Our results suggest the persistence and stability of the reservoir (prolate ellipsoid at about 8 km beneath the resurgent dome) and indicate a 40-50% reduction of the inflation rate after about 3 years from the inflation onset. The onset of the reduced inflation rate corresponded in time with the occurrence of a strong seismic swarm in the Caldera, but also to the temporal variation of climatic conditions in the area. © 2021 Elsevier B.V.
关键词3D heterogeneous modelGNSS dataLong Valley Calderasignal decompositionvolcanic inflation
英文关键词3D modeling; Global positioning system; Independent component analysis; Reservoirs (water); Signal processing; Time series; Time series analysis; Topography; Volcanoes; 3d heterogeneous model; 3d-modeling; Deformation measurements; Global navigation satellite system data; Inflation rates; Long valley caldera; Signal decomposition; Signal modeling; Times series; Volcanic inflation; Deformation; caldera; climate conditions; decomposition analysis; earthquake swarm; geodesy; GNSS; three-dimensional modeling; California; Long Valley Caldera; United States
语种英语
来源期刊Earth and Planetary Science Letters
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/203298
作者单位German Research Centre for Geosciences (GFZ), Potsdam, Germany; Scripps institution of Oceanography, University of California San Diego, La Jolla, CA, United States; Nanjing University of Information Science and Technology, Ningliu Road, Nanjing, China; U.S. Geological Survey, Cascades Volcano Observatory, Vancouver, WA, United States
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Silverii F.,Pulvirenti F.,Montgomery-Brown E.K.,et al. The 2011-2019 Long Valley Caldera inflation: New insights from separation of superimposed geodetic signals and 3D modeling[J],2021,569.
APA Silverii F.,Pulvirenti F.,Montgomery-Brown E.K.,Borsa A.A.,&Neely W.R..(2021).The 2011-2019 Long Valley Caldera inflation: New insights from separation of superimposed geodetic signals and 3D modeling.Earth and Planetary Science Letters,569.
MLA Silverii F.,et al."The 2011-2019 Long Valley Caldera inflation: New insights from separation of superimposed geodetic signals and 3D modeling".Earth and Planetary Science Letters 569(2021).
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