MR011-02
Stick-Slip at the Kilometer Scale: Estimating Rate and State Friction Parameters from Modeling Repeated Caldera Collapse Events at Kīlauea Volcano in 2018
Abstract:
The 2018 eruption of Kīlauea volcano, Hawaii, resulted in collapse of the summit caldera in 62 highly repeatable events in which the caldera floor dropped 2-8 meters, accompanied by MW 5.2-5.4 long period earthquakes. Collapse events were recorded by continuous GPS receivers and tiltmeters. High-rate GPS data indicate that collapse occurred in 5-10 seconds. Stations outside the caldera record “inflationary” deformation during collapse driven largely by pressurization of the underlying magma reservoir.
We develop a lumped parameter model of a cylindrical piston collapsing into a magma reservoir. Pressure at the piston base and shear stress on its margin balance its weight. Downward motion of the piston compresses the underlying magma, which drives flow out to the eruption site. With sufficiently compressible magma the system of equations exhibit stick-slip cycles.
A Monte Carlo estimation is used to estimate system constants, including rate-state parameters, by comparing model predictions with observed inter-event period (~1.4 days), collapse duration (5-10 s), the amplitude of the pressure increase (determined by modeling GPS displacements, Segall et al, GRL in press), and the vertical displacement during collapse. We find that the nominal friction coefficient f0 is restricted to the range 0.2-0.7, the steady-state velocity dependence b-a is 0.003 to 0.007, and dc is constrained to be less than 0.1 meters. Furthermore, for dc in excess of a few mm the predicted pre-collapse deformation exceeds that permitted by stacks of the GPS time series.
We conclude that dc for kilometer scale stick-slip events in basalt cannot exceed a few millimeters. Modeling repeatable macroscopic collapse events provides important complements to laboratory scale experiments.