Group A, Poster #269, SCEC Community Models (CXM)
Constraining the SCEC community rheology model with seasonal hydrologic loading and surface deformation phase shifts
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Poster Presentation
2022 SCEC Annual Meeting, Poster #269, SCEC Contribution #12572 VIEW PDF
lthough indirect rheological estimates inferred from geodetically measured ground deformation following large earthquakes are directly applicable to crustal-scale problems, such estimates are sparse in both time and space. Geodetic measurements of hydrologic loading-induced deformation near large lakes, reservoirs, and ice sheets also yield estimates of rheological behavior in Earth’s crust and upper mantle.
Seasonal hydrologic loading signals are widespread over large areas and periodic in time, and therefore particularly advantageous for use in estimating and further constraining lithospheric rheology. In this project, we seek to constrain the rheology and structure of California's crust and upper mantle using observed phase shifts between seasonal hydrologic loading and surface deformation recorded by stations of the Global Navigation Satellite System (GNSS). First, we use a 3D finite element model to investigate how changes in the rheological structure of Earth’s crust and upper mantle influence predicted patterns of surface deformation for simple periodic loading scenarios. We then explore the viscoelastic response of Earth’s crust to annual hydrologic loading in California captured by the sum of groundwater, soil moisture, and surface water due to rain and snow, and artificial lake filling, and we compare the surface deformation response for various rheological structures to the annual deformation observed by GNSS. We use this approach to predict new estimates of California’s lower crustal and upper mantle rheology, which may serve to inform rheological constraints in SCEC community models.
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Seasonal hydrologic loading signals are widespread over large areas and periodic in time, and therefore particularly advantageous for use in estimating and further constraining lithospheric rheology. In this project, we seek to constrain the rheology and structure of California's crust and upper mantle using observed phase shifts between seasonal hydrologic loading and surface deformation recorded by stations of the Global Navigation Satellite System (GNSS). First, we use a 3D finite element model to investigate how changes in the rheological structure of Earth’s crust and upper mantle influence predicted patterns of surface deformation for simple periodic loading scenarios. We then explore the viscoelastic response of Earth’s crust to annual hydrologic loading in California captured by the sum of groundwater, soil moisture, and surface water due to rain and snow, and artificial lake filling, and we compare the surface deformation response for various rheological structures to the annual deformation observed by GNSS. We use this approach to predict new estimates of California’s lower crustal and upper mantle rheology, which may serve to inform rheological constraints in SCEC community models.
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